Artificial Intelligence Medical Compendium

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

Showing 18,541 to 18,550 of 214,544 articles

Editorial Commentary: Traveling to A New Dimension in Anterior Cruciate Ligament Injury Risk Stratification: Holistic 3-Dimensional Knee Phenotyping via Automated Artificial Intelligence Pipelines.

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association
Morphologic risk stratification for anterior cruciate ligament injury has historically relied upon isolated two-dimensional radiographic parameters (e.g., posterior tibial slope, notch width, lateral femoral condyle ratio, etc.). Although informative... read more 

Increasing Urban OH Levels in China over the Past Decade.

Environmental science & technology
Hydroxyl radical (OH) is the main atmospheric oxidant; therefore, changes in OH concentration are critical for the evolution of atmospheric oxidizing capacity during this century. By constructing a machine learning-based prediction model integrated w... read more 

Development and Validation of a Diffusion-weighted Imaging-only Deep Learning Model for the Detection of Supratentorial Acute Ischemic Infarcts: A Retrospective Diagnostic Accuracy Study.

Annals of African medicine
BACKGROUND: Acute ischemic stroke is a leading cause of death and long-term disability worldwide, with a disproportionately increasing burden in low- and middle-income countries. Diffusion-weighted imaging (DWI) is the most sensitive magnetic resonan... read more 

A Comparative Readability Analysis of Artificial Intelligence-Generated and Evidence-based Medical Content on the Diagnosis and Management of Multiple Sclerosis.

Annals of African medicine
INTRODUCTION: Multiple sclerosis (MS) is a complex neurological disorder requiring effective patient education. With the increasing use of artificial intelligence (AI) in healthcare, evaluating the readability of AI-generated content compared to evid... read more 

Generative AI for ECG Interpretation Education: Impact on Nursing, Student Performance, and AI Model Accuracy.

Nurse educator
BACKGROUND: Electrocardiogram (ECG) interpretation is a critical yet challenging skill for nurses. Generative artificial intelligence (AI) offers potential for personalized, adaptive learning. PURPOSE: The aim was to evaluate the effectiveness, accur... read more 

From static structures to dynamic landscapes: Generative artificial intelligence for protein conformational dynamics.

Current opinion in structural biology
Protein function emerges from ensembles of interconverting conformations, presenting challenges beyond static structure prediction. Although recent advances in generative artificial intelligence (AI) have transformed native-fold prediction, capturing... read more 

Artificial intelligence-driven integration of multi-biofluid omics and clinical phenotype enables stratification of endometrial cancer.

Cell reports. Medicine
Endometrial cancer (EC) incidence is rising, yet current diagnostics lack precision and scalability. We develop an artificial intelligence (AI)-based platform integrating multi-biofluid omics and clinical data for EC stratification. Using two indepen... read more 

Efficacy of short-course bevacizumab for brain tumor radiation necrosis with a volumetric analysis.

World neurosurgery
PURPOSE: Radiation necrosis (RN) is a challenging complication of cranial irradiation, often requiring corticosteroids for management. This study evaluates the clinical and radiologic efficacy of a short-course bevacizumab (BEV) regimen for brain tum... read more 

Mitigating hallucinations in synthesized clinical texts to improve multimodal deep learning for dermatology.

Journal of biomedical informatics
OBJECTIVE: Despite recent advancements in the development of foundation models and multimodal (MM) architectures in dermatology, their translation to clinical practice remains limited by the scarcity of large-scale multimodal (MM) datasets, as most p... read more 

Crotonylation: A Novel Layer of the Epigenetic Landscape in Disease.

Cancer letters
Crotonylation is a lysine acylation modification that links cellular metabolism to epigenetic regulation. Its rigid planar crotonyl group is specifically recognized by "readers" such as YEATS/DPF and confers strong conformational regulatory capacity ... read more