Artificial Intelligence in Medicine: Shaping the Future of Healthcare
A special issue of Medicina (ISSN 1648-9144).
Deadline for manuscript submissions: 20 June 2026 | Viewed by 1545
Special Issue Editors
2. Research Centre of Timisoara Institute of Cardiovascular Diseases, "Victor Babes" University of Medicine and Pharmacy, 300041 Timisoara, Romania.
Interests: preventive medicine; cardiology; AI; evidence based medicine
Special Issues, Collections and Topics in MDPI journals
2. Center of Advanced Research in Cardiology and Hemostasology, "Victor Babesș” University of Medicine and Pharmacy, Eftimie Murgu Sq. No. 2, 300041 Timisșoara, Romania
Interests: cardiovascular diseases; artificial intelligence; preventive medicine
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) has rapidly become a cornerstone of innovation in contemporary medicine, enabling advances that extend from diagnostic imaging to drug discovery and personalized therapeutics. By leveraging large-scale biomedical data and sophisticated algorithms, AI holds the promise of enhancing clinical decision-making, improving efficiency, and fostering more precise and preventive healthcare. This Special Issue is dedicated to advancing scholarly discourse on AI in medicine, showcasing both frontier research and critical perspectives on its integration into healthcare systems.
The origins of AI in medicine can be traced to early expert systems such as MYCIN in the 1970s, which attempted to support physicians in diagnosing bacterial infections. While pioneering, these systems were limited in scope and adaptability. Subsequent progress in machine learning and deep neural networks has catalyzed more impactful applications. Notable milestones include IBM’s Watson for Oncology, which demonstrated the potential of AI-assisted clinical decision support, and DeepMind’s AlphaFold, which revolutionized protein structure prediction with direct implications for drug development. Similarly, AI-driven diagnostic models in ophthalmology and radiology have achieved performance on par with human experts.
This Special Issue aims to provide a platform for interdisciplinary engagement on the methodological, clinical, and societal dimensions of AI in medicine. Its scope extends to algorithmic innovation, translational studies, and evaluations of medical-related ethical, regulatory, and policy challenges. A central objective is to bridge the gap between technical development and clinical application, thereby fostering responsible adoption of AI technologies.
Contributions will spotlight AI-enabled diagnostics in radiology and pathology, predictive models for disease onset and progression, natural language processing applied to electronic health records, machine-based learning, and digital twin technologies. Advances in generative AI for drug discovery, as exemplified by recent computational approaches to molecular design, represent another frontier of considerable promise.
We welcome original research articles and systematic reviews addressing applications of AI across diverse clinical domains. Submissions exploring implementation frameworks, clinical validation, scalability, and interdisciplinary collaboration are encouraged. Equally vital are contributions examining medical ethics and regulatory issues, including machine-based learning, data governance, and transparency in AI-assisted care.
Dr. Nilima Rajpal Kundnani
Prof. Dr. Daniel Florin Lighezan
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Medicina is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- artificial intelligence
- machine learning
- diagnostic imaging
- clinical decision support systems
- precision medicine
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