Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 216,088 articles

Use of Federated Learning for validating and updating privacy-preserving decentralized multi-study prognostic models in Traumatic Brain Injury

medRxiv Aug 2, 2026
Developing modern clinical prediction models (CPMs) and advanced analytics requires large datasets, often necessitating data from different studies. Privacy regulations may hinder data sharing, especially across countries. Decentralized federated dat... read more 
health informatics

Use of Federated Learning for validating and updating privacy-preserving decentralized multi-study prognostic models in Traumatic Brain Injury

medRxiv Aug 2, 2026
Developing modern clinical prediction models (CPMs) and advanced analytics requires large datasets, often necessitating data from different studies. Privacy regulations may hinder data sharing, especially across countries. Decentralized federated dat... read more 
health informatics

Artificial intelligence in forensic science: Evaluation of ChatGPT for post-mortem interval estimation and Henssge nomogram use.

Advances in clinical and experimental medicine : official organ Wroclaw Medical University Aug 3, 2026
BACKGROUND: In recent years, advancements in artificial intelligence (AI) have led to the creation of numerous large language models, including Chat Generative Pre-trained Transformer (ChatGPT), a natural language processing model developed by OpenAI... read more 

Cancer drug response and resistance: molecular mechanisms and combating strategies.

Signal transduction and targeted therapy Aug 3, 2026
Despite remarkable advances in cancer drug treatment, including chemotherapy, targeted therapy, and immunotherapy, therapeutic resistance remains a formidable clinical barrier, limiting durable responses and long-term survival. Drug resistance can be... read more 

Intron retention in health and amyotrophic lateral sclerosis.

Brain : a journal of neurology Aug 3, 2026
Intron retention (IR) is the molecular phenomenon by which introns, historically thought to represent non-coding 'junk', remain unspliced within pre-mRNA transcripts, resulting in their incorporation into the mature mRNA molecule. While the role of I... read more 

Cancer drug response and resistance: molecular mechanisms and combating strategies.

Signal transduction and targeted therapy Aug 3, 2026
Despite remarkable advances in cancer drug treatment, including chemotherapy, targeted therapy, and immunotherapy, therapeutic resistance remains a formidable clinical barrier, limiting durable responses and long-term survival. Drug resistance can be... read more 

Intron retention in health and amyotrophic lateral sclerosis.

Brain : a journal of neurology Aug 3, 2026
Intron retention (IR) is the molecular phenomenon by which introns, historically thought to represent non-coding 'junk', remain unspliced within pre-mRNA transcripts, resulting in their incorporation into the mature mRNA molecule. While the role of I... read more 

Artificial intelligence in forensic science: Evaluation of ChatGPT for post-mortem interval estimation and Henssge nomogram use.

Advances in clinical and experimental medicine : official organ Wroclaw Medical University Aug 3, 2026
BACKGROUND: In recent years, advancements in artificial intelligence (AI) have led to the creation of numerous large language models, including Chat Generative Pre-trained Transformer (ChatGPT), a natural language processing model developed by OpenAI... read more 

Prediction and critical feature analysis for coronary artery calcification progression.

Medical & biological engineering & computing Aug 3, 2026
Coronary calcification is a prevalent pathology and strong cardiovascular indicator. However, its progression drivers remain poorly defined. With limited clinical samples, it is unclear if simple traditional machine learning can effectively predict p... read more 

Prediction and critical feature analysis for coronary artery calcification progression.

Medical & biological engineering & computing Aug 3, 2026
Coronary calcification is a prevalent pathology and strong cardiovascular indicator. However, its progression drivers remain poorly defined. With limited clinical samples, it is unclear if simple traditional machine learning can effectively predict p... read more 
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