Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 1 to 10 of 223,469 articles

Development of a Machine Learning Algorithm for Differential Diagnosis Between Primary Immune Thrombocytopenia and Connective Tissue Disease-Related Thrombocytopenia in Pediatric Patients.

Journal of clinical laboratory analysis
BACKGROUND: To develop a machine learning model for early differentiation of primary immune thrombocytopenia (pITP) from connective tissue disease-related thrombocytopenia (CTD-TP) in children presenting with thrombocytopenia. METHOD: A retrospective... read more 

Federated learning for multi-institutional AI in healthcare via digital pathology.

Biomedizinische Technik. Biomedical engineering
The integration of artificial intelligence (AI) in digital pathology has shown significant promise in advancing cancer diagnostics, grading, and treatment response prediction. However, widespread development and deployment of robust AI models face cr... read more 

Guideline-Based Evaluation of Five Generative Artificial Intelligence Chatbot Platforms for Clinician-Oriented Questions on Open Temporomandibular Joint Surgery.

Journal of stomatology, oral and maxillofacial surgery
OBJECTIVE: To compare the quality and readability of responses from five generative artificial intelligence chatbot platforms to clinician-oriented questions on open temporomandibular joint (TMJ) surgery against guideline-based reference answers. MAT... read more 

Toward harmonized reporting of Alzheimer's disease biomarkers in clinical practice.

Clinical chemistry and laboratory medicine
Cerebrospinal fluid biomarkers, and more recently blood-based biomarkers, are playing a pivotal role in reshaping the clinical management of neurodegenerative diseases, supporting early detection, biological diagnosis, patient stratification, prognos... read more 

History taking: the foundation of diagnostic excellence.

Diagnosis (Berlin, Germany)
Medical history taking serves a critical role in improving diagnostic safety and patient outcomes. Despite advances in technology, a patient's medical history remains the cornerstone of accurate diagnosis, often yielding diagnoses before tests are pe... read more 

Cross-layer semantic alignment and context enhancement network for medical image segmentation.

Biomedical physics & engineering express
Medical image segmentation aims to accurately delineate organs, tissues, or lesion regions from complex medical images. However, existing hybrid models based on Transformers and convolutional neural networks (CNNs) still suffer from limitations in lo... read more 

Vibe coding for ophthalmologists.

Current opinion in ophthalmology
PURPOSE OF REVIEW: Recent advances in large language models (LLMs) have given rise to 'vibe coding', a conversational approach to software development in which users describe desired functionality in natural language and collaborate with an LLM agent... read more 

Artificial intelligence-guided engineering of precision ocular therapeutics.

Current opinion in ophthalmology
PURPOSE OF REVIEW: This review surveys recent advances in artificial intelligence-guided small molecule discovery and gene therapy, with a focus on generative and foundation models, and their translational applications to ophthalmic therapeutics. REC... read more 

Advances in New Approach Methodologies at FDA's Division of Applied Regulatory Science.

Clinical pharmacology and therapeutics
New Approach Methodologies (NAMs) represent a paradigm shift in drug development and regulatory science, offering human-relevant alternatives to traditional preclinical models. This mini-review highlights recent advances in NAM development, validatio... read more 

Toward a future role for liver biopsy in HCC: literature evidence and survey-based perspectives from Korean experts.

Journal of liver cancer
The role of liver biopsy in hepatocellular carcinoma (HCC) is being re-evaluated in the era of precision oncology and biomarker-driven systemic therapy. Although histopathological examination remains the diagnostic gold standard, HCC is unique among ... read more