Artificial Intelligence in Epidemiological Diagnostics: Advances and Applications
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Machine Learning and Artificial Intelligence in Diagnostics".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 8
Special Issue Editor
2. Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou University, Lanzhou 730000, China
Interests: advancing artificial intelligence in healthcare epidemiology; AI-enhanced tools for disease detection and classification; integration of AI in evidence-based guideline development; leveraging machine learning for predictive modeling and decision support in population health; AI applications in traditional Chinese medicine evidence evaluation and integration
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial Intelligence (AI) is revolutionizing epidemiological diagnostics by enabling innovative approaches to disease detection, classification, and population-level monitoring. This Special Issue focuses on AI technologies in epidemiological diagnostics addressing complex public health challenges. AI-powered tools enhance large-scale health data interpretation, facilitating early detection, real-time monitoring, and predictive modeling for more accurate diagnostic outcomes.
AI transforms diagnostic evidence synthesis by automating systematic reviews and improving evidence-based guideline development with greater efficiency. We explore AI-driven diagnostic biomarker discovery and validation, along with machine learning models for population-level risk stratification and screening optimization. This Special Issue examines AI-designed peptides and antimicrobial peptides for diagnostic applications. Advanced algorithms now create novel peptide sequences with enhanced pathogen specificity, offering innovative tools for disease surveillance and antimicrobial resistance monitoring. These AI-optimized peptides serve as alternatives to traditional diagnostic antibodies, with improved stability, cost-effectiveness, and accuracy for epidemic preparedness. Central applications include automated disease screening, outbreak detection, diagnostic imaging analysis, and health risk assessment. We welcome research on AI in telemedicine and remote monitoring systems for resource-limited settings. We also explore AI in traditional medicine diagnostics, integrating traditional approaches with modern practices.
We invite contributions on methodological advancements, diagnostic accuracy studies, and applications addressing health disparities and resource optimization, highlighting AI's potential in epidemiological diagnostics and public health surveillance.
Dr. Jinhui Tian
Guest Editor
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 100 words) can be sent to the Editorial Office for announcement on this website.
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.
Keywords
- artificial intelligence in diagnostic epidemiology
- machine learning for diagnostic screening
- predictive diagnostic modeling
- automated diagnostic evidence synthesis
- AI-designed peptides for diagnostics
- antimicrobial peptide diagnostics
- AI peptide engineering for pathogen detection
- AI-driven population health diagnostics
- diagnostic health informatics
- digital diagnostic epidemiology
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