Machine Learning and Artificial Intelligence in Clinical Medicine
A section of Journal of Clinical Medicine (ISSN 2077-0383).
Section Information
The Machine Learning and Artificial Intelligence in Clinical Medicine section publishes rigorously reviewed original research articles, comprehensive reviews, and informed perspectives focused on the application of advanced computational techniques within clinical practice. This section provides a multidisciplinary forum that connects clinicians, data scientists, and engineers to foster the responsible and effective integration of machine learning (ML) and artificial intelligence (AI), with the aim of enhancing patient outcomes and advancing medical knowledge.
In summary, this section aims to foster the translation of cutting-edge ML and AI research into tangible clinical benefits, ensuring that technological innovation aligns with the principles of patient safety, ethical integrity, and scientific rigor.
Subject Areas
This section invites manuscripts covering, but not limited to, the following topics:
- Clinical Applications of AI and ML: Creating and validating algorithms for diagnosing diseases, predicting outcomes, and developing treatment strategies across medical fields.
- Predictive and Personalized Medicine: Utilizing AI-based tools for risk assessment, patient-specific modelling, and targeted therapies.
- Medical Imaging and Signal Processing: Applying deep learning and other computational methods to image segmentation, classification, and analysis in areas such as radiology, pathology, and cardiology.
- Clinical Decision Support Systems: Incorporating AI models into clinical practices, with attention to real-world implementation and their effects on patient care.
- Digital Health and Wearable Technologies: AI solutions for remote monitoring, telemedicine, and ongoing health assessments.
Editorial Board
Special Issues
Following special issues within this section are currently open for submissions:
- Applications of Artificial Intelligence and Digital Therapeutics in Clinical Medicine: 2nd Edition (Deadline: 20 July 2026)
- Clinical and Laboratory Applications of Artificial Intelligence in Haematology (Deadline: 30 July 2026)
- Advancing Ultrasound Techniques with Artificial Intelligence in Clinical Research (Deadline: 20 October 2026)
- The Use of Artificial Intelligence in Cancer Research, Diagnosis, and Care (Deadline: 30 November 2026)
- Advancing Personalized and Precision Medicine with Large Language Models (Deadline: 20 December 2026)
- Clinical Applications of Artificial Intelligence and Machine Learning in Diagnosis and Therapy (Deadline: 20 December 2026)
- Digital Innovations in Obstetrics and Gynecology: Artificial Intelligence, Diagnostic Advances, Minimally Invasive Surgery, and Clinical Decision-Making (Deadline: 20 March 2027)
- Advances in AI-Powered Brain Screening and Clinical Neuroscience (Deadline: 20 April 2027)
- Artificial Intelligence and Machine Learning in Cardiovascular Disease: Diagnosis, Risk Stratification, and Prognosis (Deadline: 15 May 2027)
