Applications of Artificial Intelligence in Healthcare
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 September 2025 | Viewed by 44
Special Issue Editor
Interests: artificial intelligence for smart grids; health care; wireless networks; blockchain and other artificial intelligence
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) is rapidly revolutionizing healthcare globally, offering emerging and transformative solutions for problem diagnosis, patient treatment, patient management, and medical research. This Special Issue aims to explore the latest advancements, methodologies, and real-world applications of AI in healthcare sectors. The Special Issue serves as a valuable platform for researchers, pharmacists, clinicians, doctors, and policymakers interested in harnessing AI to improve healthcare outcomes. We welcome contributions from multidisciplinary domains to foster collaboration and innovation in this rapidly evolving domain.
We invite high-quality original research articles, reviews and surveys, and case studies and use cases that showcase innovative and emerging AI-driven solutions in areas including, but not limited to, the following:
- Machine learning and deep learning applications in disease prediction;
- AI-powered diagnostics and medical imaging;
- AI in personalized medicine and drug discovery;
- Natural language processing for clinical decision support;
- Ethical, regulatory, and privacy considerations in AI-driven healthcare;
- Robotics and automation in surgery and patient care;
- AI applications in telemedicine and remote patient monitoring.
We look forward to your expert contributions to this Special Issue on the future of AI’s emergence in healthcare.
Prof. Dr. Nadeem Javaid
Guest Editor
Manuscript Submission Information
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Keywords
- artificial intelligence
- health care
- disease
- cardiovascular
- asthma
- pregnancy
- lungs
- liver
- pharmacy
- hospital
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