AI for Precision Diagnostics: Enhancing Accuracy, Accessibility, and Outcomes

Dear Colleagues,

Artificial Intelligence (AI) has emerged as a transformative force in precision diagnostics, reshaping how diseases are detected, classified, and monitored. From radiology and pathology to biosensing and wearable health devices, AI-driven systems are enabling faster, more accurate, and accessible diagnostic solutions. Despite significant advances, challenges remain in ensuring model interpretability, generalization, and integration into clinical practice, particularly in resource-constrained healthcare settings. This Special Issue seeks to highlight the latest developments and practical applications of AI that enhance diagnostic precision while promoting equity and global accessibility.

This Special Issue aims to bring together cutting-edge research and reviews that explore the application of AI and machine learning to diagnostic decision-making, imaging analysis, biosensor integration, and digital health solutions. In alignment with the scope of Diagnostics, the issue focuses on translating algorithmic intelligence into clinically actionable, patient-centered outcomes. We particularly welcome works addressing explainable AI, multimodal data fusion, deployment of low-cost smart diagnostic systems, federated learning, and equitable healthcare solutions targeting both primary and home healthcare, suitable for point-of-care and telemedicine applications.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

• AI in medical imaging and radiology;
• Deep learning and transfer learning for precision diagnostics;
• AI-powered biosensors, wearable diagnostic systems, robotics, automation, and smart health devices;
• Explainable and trustworthy AI in clinical decision support;
• Multimodal data fusion for disease prediction and monitoring;
• AI-driven point-of-care and remote diagnostic tools;
• Digital twin and simulation models in personalized healthcare;
• Federated and privacy-preserving learning in diagnostics;
• Generative AI for data augmentation and diagnostic enhancement;
• Bioinformatics applications in diagnostics and personalized medicine;
• Ethical, regulatory, and accessibility challenges in AI-based healthcare;
• Accessible, affordable, and sustainable healthcare solutions for home healthcare.

We look forward to receiving your contributions.

Dr. Shereen Afifi
Dr. Mirza Mansoor Baig
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. Diagnostics is an international peer-reviewed open access semimonthly 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 2600 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.

• precision diagnostics
• medical imaging and radiology
• machine learning, deep learning, and transformers
• biosensors and wearable health devices
• explainable AI
• point-of-care and remote diagnostic systems
• digital health
• edge AI and computing
• bioinformatics
• personalized medicine and health
• healthcare accessibility