Artificial Intelligence in the Service of Medicine: From Pathological Diagnosis to Forensic Pathology
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: 31 July 2026 | Viewed by 19
Special Issue Editor
Interests: cardiovascular pathology; neuropathology; forensic pathology; histopathology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial Intelligence (AI) is reshaping modern medical diagnostics, offering unprecedented opportunities for higher accuracy, faster workflows, and deeper insights across multiple branches of pathology. This Special Issue focuses on the transformative applications of AI in both clinical pathology and forensic pathology, highlighting how intelligent systems are enhancing diagnostic precision and supporting complex case evaluations.
In pathology, AI-driven algorithms are revolutionizing tissue examination, improving image interpretation, and reducing inter-observer variability. These technologies assist pathologists in detecting subtle morphological patterns, quantifying biomarkers, and streamlining diagnostic processes.
In forensic pathology, AI is emerging as a powerful tool for analysing postmortem findings, supporting the interpretation of injury patterns, estimating time-related biological changes, and improving the consistency and objectivity of forensic assessments. By augmenting expert judgment, AI contributes to more standardized and data-driven evaluations in medicolegal death investigations.
While AI offers transformative advantages, its integration also presents challenges related to data quality, transparency, validation, and clinical acceptance. This Special Issue brings together leading researchers to explore the latest innovations, practical applications, and key considerations for implementing AI across clinical and forensic pathology.
Our goal is to illuminate how artificial intelligence can effectively support pathologists in different fields of medicine such as cardiopathology, neuropathology, and forensic settings, advancing diagnostic science and contributing to improving our understanding of disease and death.
Dr. Gelsomina Mansueto
Guest Editor
Manuscript Submission Information
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Keywords
- artificial intelligence in pathology
- digital pathology
- computational pathology
- whole-slide imaging (WSI)
- machine learning-based diagnostics
- deep learning algorithms
- pathology
- cardiopathology
- neuropathology
- forensic pathology
- postmortem imaging analysis
- biomarker detection and quantification
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