Artificial Intelligence Medical Compendium

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

Showing 45,991 to 46,000 of 224,055 articles

Cancer-associated fibroblasts are associated with CD8+ T cell depletion and poor prognosis in colorectal adenocarcinoma: a multi-omics and machine learning analysis.

The journal of pathology. Clinical research Mar 1, 2026
Fibroblastic proliferation in various tumor microenvironments influences cancer survival through complex interactions with diverse immune responses. This study investigated the impact of histologically unique activated cancer-associated fibroblasts (... read more 

Advancing Personalized Strategies for Obesity Prevention Through Biologically and Behaviorally Tailored Interventions: The Strategic Framework for the BETTER4U Initiative.

Obesity reviews : an official journal of the International Association for the Study of Obesity Mar 1, 2026
The BETTER4U project (Preventing Obesity through Biologically and bEhaviorally Tailored inTERventions for You) is a Horizon Europe initiative (GAP 101080117) dedicated to advancing our understanding of the multifaceted etiology of obesity. The projec... read more 

Artificial Intelligence for Predicting Clinical Outcomes in Interventional Pain Medicine for Spine Disorders: A Systematic Review.

Pain practice : the official journal of World Institute of Pain Mar 1, 2026
OBJECTIVES: Artificial intelligence (AI) applications are being increasingly explored in pain medicine due to AI's ability to handle multidimensional data and analyze complex, nonlinear relationships. There is a need to identify and understand the ad... read more 

Research priorities for data science and artificial intelligence in global health: an international consensus exercise.

The Lancet. Global health Mar 1, 2026
Applications of data science and artificial intelligence (AI) in global health are expanding, yet research remains fragmented and often misaligned with the needs of low-income and middle-income countries (LMICs). To address this misalignment, we cond... read more 

Failure Event Mining With Fine-Tuned Large Language Model: Case Study of Analyzing United States Nuclear Power Plant Failure Event Reports.

Risk analysis : an official publication of the Society for Risk Analysis Mar 1, 2026
Failure event narratives contain detailed and valuable information describing how failures initiate and propagate. Event causality analysis can help improve the understanding of failure physics and facilitate the use of non-failure data (e.g., near-m... read more 

Second Volume of the Special Issue on: "Artificial Intelligence for Risk Analysis and the Risks of AI".

Risk analysis : an official publication of the Society for Risk Analysis Mar 1, 2026
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A Comprehensive Risk Analysis Framework for Medical AI: A Mixed-Methods Approach.

Risk analysis : an official publication of the Society for Risk Analysis Mar 1, 2026
Artificial intelligence (AI) is set to transform traditional healthcare delivery and patient care. However, this transformation presents a range of challenges in medical AI decision-making. To address these challenges, this study aims to develop a ri... read more 

AI in Carbon Sink Trading: Using Attack Trees to Assess Low- to Medium-Risk Scenarios.

Risk analysis : an official publication of the Society for Risk Analysis Mar 1, 2026
As global climate change intensifies, carbon emission trading systems have become vital tools to reduce greenhouse gas emissions through market-based mechanisms. Carbon sink trading incentivizes emission reduction and fosters global cooperation. Rece... read more 

Region-Based Segmentation of Lymph Node Metastases in Whole-Slide Images of Colorectal Cancer: A Pilot Clinical Study.

Cancer medicine Mar 1, 2026
BACKGROUND: Digital technologies and artificial intelligence (AI) are transforming medical diagnostics, particularly in pathology. This study presented a two-stage computer vision model designed to detect colorectal cancer metastases in whole slide i... read more 

Expert-Designed Fact Sheets and AI-Based Analysis of Patient Symptoms to Combat Diagnostic Delays in Inherited Metabolic Diseases.

Journal of inherited metabolic disease Mar 1, 2026
The importance of early diagnosis of inherited metabolic diseases (IMDs) is well known, as it allows early intervention to prevent or reduce complications and improve prognosis, since many of these disorders are treatable. However, diagnosis can stil... read more 
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