Artificial Intelligence Medical Compendium

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

Showing 33,481 to 33,490 of 221,422 articles

Renewable energy-based drying of medicinal plants: enhancing efficiency, phytochemical retention, and quality.

Journal of the science of food and agriculture Apr 9, 2026
Drying of medicinal plants and spices (MPS) is a critical post-harvest operation for extending shelf life and preserving bioactive compounds, sensory attributes, and nutritional value. However, most industrial drying practices remain heavily dependen... read more 

One Size Might Not Fit All: A Tailored Approach to Psychological Intergroup Interventions.

Personality & social psychology bulletin Apr 9, 2026
Despite growing efforts to improve intergroup relations, the effectiveness of psychological intergroup interventions is often limited. We argue this modest impact stems from a one-size-fits-all approach that overlooks targeted outcomes and individual... read more 

Toward a foundational brain model of intelligence.

Current opinion in neurobiology Apr 9, 2026
Foundation models, that are pre-trained by massive data then serve as the core of various systems fine-tuned to accomplish a range of specific tasks, have begun to be deployed in Neuroscience. Here I consider how this new approach may go beyond input... read more 

Predicting hepatocellular carcinoma in people with hepatitis B: a comparison between Cox proportional hazard and machine learning models.

Journal of epidemiology and population health Apr 9, 2026
BACKGROUND AND AIM: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related death worldwide, with chronic hepatitis B virus (HBV) infection being a major risk factor. To date, existing predictive scores of HCC are mainly based on traditio... read more 

Machine learning for early detection and prediction of sepsis: explainability and key sepsis biomarkers representation-A systematic review.

International journal of medical informatics Apr 9, 2026
OBJECTIVE: To systematically review machine learning-based sepsis prediction studies, examining model explainability and the extent to which explanations reflect key sepsis biomarkers. DATA SOURCES: Following the PRISMA guidelines, we reviewed the ti... read more 

Artificial intelligence for metabolic dysfunction-associated steatotic liver disease diagnosis: A systematic review.

Computers in biology and medicine Apr 9, 2026
Metabolic dysfunction-associated steatotic liver disease (MASLD) poses significant diagnostic challenges. We conducted a systematic review of artificial intelligence (AI) applications in MASLD diagnosis, focusing on predictive modeling, screening, im... read more 

AI unleashed: A meta-analysis transforming radiological insights in diagnosing abdominal infections.

Computers in biology and medicine Apr 9, 2026
INTRODUCTION: Artificial intelligence (AI)-based imaging modalities are next-generation diagnostic devices for abdominal infections that promise to provide enhanced diagnostic speed and accuracy. This systematic review and meta-analysis critically an... read more 

Dual-model deep learning for Alzheimer's prognostication.

Computers in biology and medicine Apr 9, 2026
Disease-modifying therapies for Alzheimer's disease demand precise timing decisions, yet current predictive models require longitudinal clinical observations and provide no uncertainty quantification-rendering them impractical at the critical first-v... read more 

A novel consistency-guided and pseudo labeled training for weakly-semi-supervised medical image segmentation.

Computers in biology and medicine Apr 9, 2026
Medical image segmentation is crucial for disease diagnosis but is often hindered by the scarcity of annotated data, which is time-consuming and expensive to acquire. To address this challenge, this paper proposes a novel semi-supervised learning fra... read more 

Occlusion-activated autonomous piezoelectric implants for adaptive prevention of peri-implantitis.

Nature communications Apr 9, 2026
More than one-third of the global population suffers from dental defects, with osseointegrated implants being the gold-standard intervention; yet, their long-term functional performance is hindered by peri-implantitis. Here, we present an autonomous ... read more 
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