Artificial Intelligence Medical Compendium

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

Showing 33,191 to 33,200 of 221,227 articles

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

Personality & social psychology bulletin
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
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
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
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
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
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
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
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
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 

Machine-learning methods for epilepsy diagnosis and therapeutic prevention: advances, setbacks, and opportunities.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
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