CN116630534A - Airway management artificial intelligence decision-making system - Google Patents

Abstract

The invention discloses an artificial intelligence decision system for airway management. It includes a patient trachea data acquisition unit, a patient trachea 3D modeling unit, an airway tool judgment unit, a tracheal intubation assembly unit, and a feasibility judgment unit. The present invention carries out 3D human body airway modeling based on Mimics software and Simpleware software, can numericalize the patient's human body airway, thereby judges whether the tracheal intubation operation is satisfied according to the numerical value, and then provides endotracheal intubation, laryngeal mask, Accurate guidance for the selection of mask tools; at the same time, after selecting the endotracheal tube, you can rely on the digitization of the human airway again. For the selection of the various parts of the endotracheal tube, it is possible to customize the most suitable parts among the existing parts. According to the patient's tracheal intubation, it can provide more accurate artificial airway establishment and provide patients with better therapeutic effect.

Description

An artificial intelligence decision system for airway management

technical field

The invention relates to the technical field of industrial production fixtures, in particular to an artificial intelligence decision-making system for airway management.

Background technique

In the medical field, airway management for critically ill patients includes: airway assessment, oxygen therapy, establishment, maintenance and withdrawal of artificial airway, respiratory support therapy, and prevention and treatment of artificial airway complications. The main purpose of airway management is to prevent and correct hypoxia, sputum drainage, and prevention of aspiration. Patients with normal respiratory function and normal airway can prevent hypoxia through spontaneous breathing or oxygen inhalation through nasal cannula or face mask. Patients with normal cough function can promote sputum discharge by encouraging coughing or assisting expectoration measures. Neurologically critical patients often suffer from or aggravate hypoxia due to dysfunction of the respiratory center, poor airway, and respiratory insufficiency. An artificial airway must be established in these patients, and mechanical ventilation is required in those with respiratory insufficiency. In critically ill neurosurgery patients, central nervous system injury and disturbance of consciousness have a very obvious impact on the airway, and hypoxia caused by poor airway significantly aggravates the central nervous system injury.

Among them, an artificial airway must be established for severe neurosurgery patients with respiratory center insufficiency, poor airway, and respiratory insufficiency, because the brain tissue is very sensitive to hypoxia. Respiratory central insufficiency, poor airway, and respiratory insufficiency will all lead to hypoxia in the patient, and an artificial airway must be established immediately. The generally accepted general indications for tracheal intubation include: airway obstruction, ventilation/oxygenation disturbance, expected deterioration of neurological function, expected deterioration of cardiac function, etc. For patients with traumatic brain injury, cerebrovascular accident, intracranial infection, increased intracranial pressure, etc., whose Glasgow Coma Scale (GCS) is equal to or lower than 8 points, an artificial airway should generally be established.

Before performing tracheal intubation, it should be determined whether the patient has high-risk factors for difficult intubation, such as small jaw, limited opening, and too small geniolingual distance. For specific evaluation methods, please refer to the LEMON method. When preparing for tracheotomy, necessary evaluation should also be carried out, such as confirming whether there is a history of surgery in the neck, whether there is neck tumor or goiter, etc. If the above-mentioned difficult factors exist, corresponding plans should be made to avoid further damage to the central nervous system caused by repeated stimulation operations, increased intracranial pressure, and hypoxia. Before establishing an artificial airway, the neurological status of the patient should be evaluated and recorded, including the level of consciousness, muscle tone, physiological and pathological reflexes, and the presence of skull base fractures, seizures, and instability of the cervical spine. For these preparations before intubation, doctors usually rely on their own experience and judge the airway condition of the patient based on some data of the patient. Often, the choice of tracheal intubation is inappropriate, and intubation is difficult due to insufficient evaluation.

Contents of the invention

In view of the deficiencies in the prior art above, the purpose of the present invention is to provide an artificial intelligence decision system for airway management that can accurately provide the most reasonable trachea establishment.

In order to achieve the above object, the present invention adopts the following technical solutions:

An artificial intelligence decision-making system for airway management, comprising:

The patient's trachea data acquisition unit, after the patient's trachea data acquisition unit photographs the human chest through a CT machine, obtains the complete airway data value of the patient;

The 3D modeling unit of the patient's trachea, the 3D modeling unit of the patient's trachea uses Mimics software and Simpleware software to perform 3D modeling of the human airway according to the patient's complete airway data values obtained in the patient's trachea data acquisition unit, and obtain 3D model corresponding to the patient's airway;

The airway tool judging unit, the airway tool judging unit analyzes the obtained 3D model, and evaluates the patient's airway by relying on the values contained in the 3D model itself. When it is judged to be abnormal, it is judged that the patient is suitable. Laryngeal mask or mask, and when the airway is judged to be normal, choose the tracheal intubation tool, and the priority of the tool selection is tracheal intubation > laryngeal mask > mask;

The tracheal intubation assembly unit, after the tracheal intubation is used by judgment, divides the patient's 3D model into regions again according to the data included in the 3D model, and defines the main trachea, bronchial bifurcation, left and right bronchus as area A, Areas B and C, divide the position of each component of the tracheal intubation into areas, define the site for inserting the tracheal intubation into the bronchi as C1, define the site for inserting the bronchial bifurcation as C2, and define the site for inserting the endotracheal tube as C2. The in-body length of the tube is defined as S1, the bending angle at C1 is defined as α1, and the bending angle at C2 is defined as α2, where C1 is obtained according to the data of A, B, and C areas in the 3D model. , C2, S1, α1 and α2 corresponding values, according to the obtained values corresponding to C1, C2, S1, α1 and α2, the tracheal intubation products are assembled in the material trousers, and the tracheal intubation corresponding to the patient is obtained after the assembly is completed. Tubes and packaging;

A feasibility judgment unit, the feasibility judgment unit is established before the endotracheal tube assembly in the endotracheal tube assembly unit, and an existing endotracheal tube database is established, and the feasibility judgment unit is based on C1, C2, S1, α1 and The value corresponding to α2 is pre-built for the product, and the pre-built tracheal intubation and the existing tracheal intubation database are verified to determine whether the pre-built tracheal intubation has a corresponding model in the existing tracheal intubation database. If the endotracheal tube of the corresponding type is used, the product assembly instruction will be given. If there is no endotracheal tube of the corresponding type, it will be judged as a special-shaped endotracheal tube, and the product assembly instruction will not be given, and a reminder for choosing a laryngeal mask or a mask will be given. .

Preferably, when the airway tool judging unit evaluates the patient's airway, it will obtain the experience data of the doctor in charge of the operation's previous tracheal intubation operations, and judge whether the type of tracheal intubation can be completed according to the doctor's experience data If the operation can be completed, the authority to use the endotracheal intubation will be given. If it exceeds the scope of the doctor's operation ability, it will be transferred to a doctor who can complete the endotracheal intubation operation, or a laryngeal mask or face mask can be selected according to judgment.

Preferably, when the airway tool judging unit evaluates the patient's airway, it also includes a judgment based on the LEMON method.

Preferably, in the endotracheal tube assembly unit, the numerical relationship between areas A, B, C and C1, C2, S1, α1, α2 is: in the 3D model, the size of A area corresponds to the size of C1 , the size of area B corresponds to the size of C2, the total length span of area A, area B, and area C corresponds to the size of S1, the curvature of area C corresponds to the value of α1, and the curvature of area B corresponds to the value of α2 value.

Preferably, when the endotracheal tube assembly unit is packaged, the two-dimensional code of the patient's information is correspondingly printed on the packaging bag. After leaving the warehouse, the doctor can scan the two-dimensional code to obtain the patient with customized endotracheal intubation. information.

Preferably, in the feasibility judging unit, when it is judged that the pre-built tracheal intubation exists in the existing tracheal intubation database, it will judge again whether the doctor in charge of the operation has used the type of tracheal intubation. If the doctor has a case of successfully using this model, he will be given an approval instruction for assembling the product. If the doctor does not have a case of successfully using this model, he will be assigned to a doctor who can successfully use this type of intubation, and he will be given a pass instruction. Instructions, when all doctors in all the data do not have a case of completing intubation of this type, it is judged as a special-shaped endotracheal intubation, no product assembly instructions will be given, and a reminder to choose a laryngeal mask or a mask will be given.

Preferably, the airway management artificial intelligence decision-making system can be applied to a field medical platform, and is suitable for the rescue of soldiers on the battlefield. The soldier's physical examination can be performed in the early stage to obtain the CT data corresponding to the soldier, and a 3D model of the soldier's airway can be established, and The 3D models of the airways of different soldiers are numbered one by one, and each number corresponds to a 3D model data. When rescue is required, when the airway tool judgment unit is evaluated, the corresponding number of the soldier is input, and the number is converted into the corresponding 3D model data for the evaluation of the airway tool judgment unit.

Due to the adoption of the above scheme, the present invention carries out 3D human airway modeling based on Mimics software and Simpleware software, which can numericalize the patient's human airway, thereby judging whether the tracheal intubation operation is satisfied according to the numerical value, and then giving the tracheal Accurate guidance for the selection of intubation, laryngeal mask, and mask tools; at the same time, after selecting the tracheal intubation, you can rely on the digitalization of the human airway again, and the selection between the various components of the tracheal intubation makes it possible to use existing parts During the process, the endotracheal intubation that is most suitable for the patient is customized, so as to provide more accurate artificial airway establishment and provide patients with better therapeutic effects.

Description of drawings

Fig. 1 is a schematic diagram of the structure and principle of an embodiment of the present invention.

Fig. 2 is a schematic diagram of 3D model area division according to an embodiment of the present invention.

Fig. 3 is a schematic diagram of the area division of the endotracheal tube according to the embodiment of the present invention.

Fig. 4 is a schematic diagram of inserting a tracheal tube into the airway of a human body according to an embodiment of the present invention.

Implementation

In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

In describing the present invention, it should be understood that the terms "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", " Orientation indicated by rear, left, right, vertical, horizontal, top, bottom, inside, outside, clockwise, counterclockwise, etc. The positional relationship is based on the orientation or positional relationship shown in the drawings, which is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, Therefore, it should not be construed as limiting the invention. In addition, the terms "first" and "second" are used for descriptive purposes only, and cannot be interpreted as indicating or implying relative importance or implicitly specifying the quantity of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of said features. In the description of the present invention, "plurality" means two or more, unless otherwise specifically defined.

In the description of the present invention, it should be noted that unless otherwise specified and limited, the terms "installation", "connection" and "connection" should be understood in a broad sense, for example, it can be a fixed connection or a detachable connection. connected, or integrally connected. It can be a mechanical connection or an electrical connection. It can be directly connected or indirectly connected through an intermediary, and it can be the internal communication of two elements or the interaction relationship between two elements. Those of ordinary skill in the art can understand the specific meanings of the above terms in the present invention according to specific situations.

As shown in Figures 1 to 4, an artificial intelligence decision-making system for airway management provided by this embodiment includes:

The patient's trachea data acquisition unit, after the patient's trachea data acquisition unit photographs the human chest through a CT machine, obtains the complete airway data value of the patient;

The 3D modeling unit of the patient's trachea, the 3D modeling unit of the patient's trachea uses Mimics software and Simpleware software to perform 3D modeling of the human airway according to the patient's complete airway data values obtained in the patient's trachea data acquisition unit, and obtain 3D model corresponding to the patient's airway;

The airway tool judging unit, the airway tool judging unit analyzes the obtained 3D model, and evaluates the patient's airway by relying on the values contained in the 3D model itself. When it is judged to be abnormal, it is judged that the patient is suitable. Laryngeal mask or mask, and when the airway is judged to be normal, choose the tracheal intubation tool, and the priority of the tool selection is tracheal intubation > laryngeal mask > mask, and abnormalities are judged based on various data, such as adult 100kg patient The door is narrow and the opening angle is small, only 3.0 endotracheal intubation can be passed, but the lower airway is normal, and a 7.0 endotracheal intubation is required to complete airway closure ventilation. At this time, the system decides that the patient is not suitable for tracheal intubation but is suitable for laryngeal mask ventilation, and at the same time gives the patient a difficult airway case under the condition of tracheal intubation. For another example, a 50kg adult patient with a narrow glottis and a small opening angle can only pass a 3.0 endotracheal intubation, but the lower respiratory tract is normal. A 7.0 endotracheal intubation is required to complete airway closure ventilation, but the patient cannot fully open his mouth and cannot use a laryngeal mask. At this time, the system decides that the patient is not suitable for tracheal intubation and laryngeal mask ventilation, and at the same time gives the patient a difficult airway case. Mask ventilation is recommended. Another example is a 70kg adult patient with a normal upper airway but narrow main bronchi. F37 left double lumen bronchial intubation is required, but the front end of the bronchial intubation needs to be customized in terms of length, diameter, and position of the occluding balloon. At this time, the system decides to give the data of the double-lumen endotracheal intubation that the patient needs to customize, and arranges the combined production of parts;

After the tracheal intubation assembly unit is used based on judgment, the 3D model of the patient is divided into regions according to the data contained in the 3D model, as shown in Figure 2, and the main trachea, bronchial bifurcation, left and right The bronchus is defined as area A, area B, and area C. As shown in Figure 3, the positions of the various parts of the tracheal intubation are divided into areas, and the endotracheal intubation site for insertion into the bronchus is defined as C1, which will be used for insertion into the bronchi. The part at the bifurcation is defined as C2, the length of the tracheal intubation into the body is defined as S1, the bending angle at C1 is defined as α1, and the bending angle at C2 is defined as α2, wherein, according to the A area in the 3D model , Area B, and Area C respectively obtain the values corresponding to C1, C2, S1, α1, and α2, and perform tracheal intubation in material pants according to the obtained values corresponding to C1, C2, S1, α1, and α2 Assemble. After the assembly is completed, obtain the endotracheal tube corresponding to the patient and package it. Specifically, C1 can be defined as a set of component libraries, C2 can be defined as a set of component libraries, and S1 can be defined as a set of component libraries. Among them, α1 and α2 are used in C1 and C2 component libraries, and supplementary explanations for component selection, that is, C1+α1, C2+α2;

A feasibility judgment unit, the feasibility judgment unit is established before the endotracheal tube assembly in the endotracheal tube assembly unit, and an existing endotracheal tube database is established, and the feasibility judgment unit is based on C1, C2, S1, α1 and The value corresponding to α2 is pre-built for the product, and the pre-built tracheal intubation and the existing tracheal intubation database are verified to determine whether the pre-built tracheal intubation has a corresponding model in the existing tracheal intubation database. If the endotracheal tube of the corresponding type is used, the product assembly instruction will be given. If there is no endotracheal tube of the corresponding type, it will be judged as a special-shaped endotracheal tube, and the product assembly instruction will not be given, and a reminder for choosing a laryngeal mask or a mask will be given. .

It should be noted that, the whole of this embodiment is based on Mimics software and Simpleware software for 3D human airway modeling, which can numericalize the patient's human airway, so as to judge whether the tracheal intubation is satisfied according to the numerical value, and then provide Accurate guidance for the selection of tracheal intubation, laryngeal mask, and mask tools; at the same time, after the selection of tracheal intubation, it can rely on the digitalization of the human airway again. Among the components, the endotracheal intubation tube that best suits the patient is customized, so as to provide more accurate artificial airway establishment and provide patients with better therapeutic effects.

Further, when the airway tool judging unit evaluates the patient's airway, it will obtain the experience data of the doctor in charge of the operation's past tracheal intubation operations, and judge whether the type of tracheal intubation operation can be completed according to the doctor's experience data , if it can be completed, the authority to use endotracheal intubation will be given, if it is beyond the scope of the doctor's operation ability, it will be transferred to a doctor who can complete the endotracheal intubation operation, or a laryngeal mask or face mask can be selected according to judgment.

Further, when the airway tool judging unit evaluates the patient's airway, it also includes a judgment based on the LEMON method.

Further, in the tracheal intubation assembly unit, the numerical relationship between areas A, B, C and C1, C2, S1, α1, α2 is: in the 3D model, the size of A area corresponds to the size of C1, The size of area B corresponds to the size of C2, the total length span of area A, area B, and area C corresponds to the size of S1, the curvature of area C corresponds to the value of α1, and the curvature of area B corresponds to the value of α2 value.

Further, when the endotracheal tube assembly unit is packaged, a QR code corresponding to the patient's information is printed on the packaging bag. After leaving the warehouse, after the doctor picks it up, the patient information of the customized endotracheal tube can be obtained by scanning the QR code. .

Further, in the feasibility judgment unit, when it is judged that the pre-built tracheal intubation exists in the existing tracheal intubation database, it will judge again whether the doctor in charge of the operation has used the type of tracheal intubation. If the doctor has a case of successfully using this type of tube, he will be given an approval instruction for assembling the product. If the doctor does not have a case of successfully using this type of tube, he will be assigned to a doctor who can successfully use this type of intubation, and an approval instruction will be given. , when all the doctors in all the data do not have a case of completing intubation of this type, it is judged as a special-shaped endotracheal intubation, no product assembly instruction is given, and a reminder to choose a laryngeal mask or a mask is given.

Further, the airway management artificial intelligence decision-making system of this embodiment can be applied to a field medical platform, and is suitable for the rescue of soldiers on the battlefield. The soldier's physical examination can be performed in the early stage to obtain the CT data corresponding to the soldier, and a 3D airway belonging to the soldier can be established. model, and number the 3D models of the airways of different soldiers one by one, and each number corresponds to a 3D model data. When rescue is required, when the airway tool judgment unit is evaluated, enter the number corresponding to the soldier and convert the number It is the corresponding 3D model data for evaluation by the airway tool judgment unit.

The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process conversion made by using the description of the present invention and the contents of the accompanying drawings, or directly or indirectly used in other related technical fields , are all included in the scope of patent protection of the present invention in the same way.

Claims (7)

1. An artificial intelligence decision-making system for airway management, characterized in that: comprising: The patient's trachea data acquisition unit, after the patient's trachea data acquisition unit photographs the human chest through a CT machine, obtains the complete airway data value of the patient; The 3D modeling unit of the patient's trachea, the 3D modeling unit of the patient's trachea uses Mimics software and Simpleware software to perform 3D modeling of the human airway according to the patient's complete airway data values obtained in the patient's trachea data acquisition unit, and obtain 3D model corresponding to the patient's airway; The airway tool judging unit, the airway tool judging unit analyzes the obtained 3D model, and evaluates the patient's airway by relying on the values contained in the 3D model itself. When it is judged to be abnormal, it is judged that the patient is suitable. Laryngeal mask or mask, and when the airway is judged to be normal, choose the tracheal intubation tool, and the priority of the tool selection is tracheal intubation > laryngeal mask > mask; The tracheal intubation assembly unit, after the tracheal intubation is used by judgment, divides the patient's 3D model into regions again according to the data included in the 3D model, and defines the main trachea, bronchial bifurcation, left and right bronchus as area A, Areas B and C, divide the position of each component of the tracheal intubation into areas, define the site for inserting the tracheal intubation into the bronchi as C1, define the site for inserting the bronchial bifurcation as C2, and define the site for inserting the endotracheal tube as C2. The in-body length of the tube is defined as S1, the bending angle at C1 is defined as α1, and the bending angle at C2 is defined as α2, where C1 is obtained according to the data of A, B, and C areas in the 3D model. , C2, S1, α1 and α2 corresponding values, according to the obtained values corresponding to C1, C2, S1, α1 and α2, the tracheal intubation products are assembled in the material trousers, and the tracheal intubation corresponding to the patient is obtained after the assembly is completed. Tubes and packaging; A feasibility judgment unit, the feasibility judgment unit is established before the endotracheal tube assembly in the endotracheal tube assembly unit, and an existing endotracheal tube database is established, and the feasibility judgment unit is based on C1, C2, S1, α1 and The value corresponding to α2 is pre-built for the product, and the pre-built tracheal intubation and the existing tracheal intubation database are verified to determine whether the pre-built tracheal intubation has a corresponding model in the existing tracheal intubation database. If the endotracheal tube of the corresponding type is used, the product assembly instruction will be given. If there is no endotracheal tube of the corresponding type, it will be judged as a special-shaped endotracheal tube, and the product assembly instruction will not be given, and a reminder for choosing a laryngeal mask or a mask will be given. . 2. An artificial intelligence decision-making system for airway management according to claim 1, characterized in that: when the airway tool judgment unit evaluates the patient's airway, it will obtain the previous tracheal intubation operations of the doctor in charge of the operation According to the experience data of the doctor, it is judged whether the type of endotracheal intubation can be completed. If it can be completed, the authority to use the endotracheal intubation will be given. The doctor who performed the tracheal intubation operation, or judged to choose a laryngeal mask or a mask. 3 . The artificial intelligence decision system for airway management according to claim 2 , wherein when the airway tool judgment unit evaluates the patient's airway, it also includes judgment based on the LEMON method. 4 . 4. An artificial intelligence decision-making system for airway management as claimed in claim 1, characterized in that: in the tracheal intubation assembly unit, areas A, B, and C are connected with C1, C2, S1, α1, α2 The numerical relationship between them is: in the 3D model, the size of area A corresponds to the size of C1, the size of area B corresponds to the size of C2, the total length span of area A, area B, and area C corresponds to the size of S1, and the size of area C The curvature of the region corresponds to the value of α1, and the curvature of the B region corresponds to the value of α2. 5. An artificial intelligence decision-making system for airway management as claimed in claim 1, characterized in that: when the tracheal intubation assembly unit is packaged, the two-dimensional code of the patient's information is correspondingly printed on the packaging bag, and it is delivered from the warehouse Finally, after the doctor takes it, he can scan the QR code to obtain the patient information of the customized endotracheal intubation. 6. An artificial intelligence decision-making system for airway management as claimed in claim 1, characterized in that: in the feasibility judgment unit, when it is judged that the pre-built tracheal intubation exists in the existing tracheal intubation database , it will judge again whether the doctor in charge of the operation has used this type of endotracheal tube. If the doctor has a case of successfully using this type of tube, he will give an instruction to assemble the product. If the doctor does not have a successful use of this model Cases are assigned to doctors who can successfully use this type of intubation, and instructions are given. When all doctors in all data do not have a case of completing this type of intubation, it is judged as a special-shaped endotracheal intubation, and the product will not be given Assembly instructions and tips on choosing a laryngeal mask or face mask. 7. A kind of airway management artificial intelligence decision-making system as claimed in claim 1, it is characterized in that: said airway management artificial intelligence decision-making system can be applied to the field medical platform, is suitable for the rescue of soldiers on the battlefield, and can carry out soldier The medical examination obtains the corresponding CT data of the soldier, establishes the 3D model of the airway of the soldier, and numbers the 3D models of the airway of different soldiers one by one, and each number corresponds to a 3D model data. When the tool judging unit evaluates, it inputs the serial number corresponding to the soldier, and converts the serial number into corresponding 3D model data for evaluation by the airway tool judging unit.