Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 200,546 articles

G.AI: an AI-driven platform for phenotype standardization, variant interpretation and structured clinical reporting in rare disease genomic diagnosis.

Journal of translational medicine Jun 6, 2026
BACKGROUND: The diagnosis of rare diseases increasingly relies on the interpretation of high-throughput next-generation sequencing (NGS) data. As sequencing volume expands, the analytical burden grows substantially, and manual workflows become increa... read more 

Mitigating hallucinations in healthcare AI: a systematic review of evidence-based strategies.

BMC health services research Jun 6, 2026
BACKGROUND: Large language models (LLMs) are increasingly integrated into healthcare applications, but their tendency to generate hallucinations-factually incorrect yet plausible outputs-poses risks to safety and trust. In clinical settings, these fa... read more 

Multiscale evaluation of metal-organic framework-based adsorbents for shipboard carbon capture: Simulation, experiment, and sustainability analysis.

Analytica chimica acta Mar 12, 2026
BACKGROUND: Shipboard carbon capture requires adsorbents capable of selectively removing CO2 from complex exhaust mixtures containing CO, NO, and SO2 under dynamically varying thermal and pressure conditions. Metal-organic frameworks (MOFs), with the... read more 

Smartwatch-derived exercise metrics as predictors of early hypertension: a prospective observational study.

BMC cardiovascular disorders Jun 8, 2026
BACKGROUND: Early identification of individuals at risk for hypertension is essential for effective cardiovascular disease. Physiological and activity metrics derived from consumer smartwatches may offer a practical, noninvasive approach to identify ... read more 

Smartwatch-derived exercise metrics as predictors of early hypertension: a prospective observational study.

BMC cardiovascular disorders Jun 8, 2026
BACKGROUND: Early identification of individuals at risk for hypertension is essential for effective cardiovascular disease. Physiological and activity metrics derived from consumer smartwatches may offer a practical, noninvasive approach to identify ... read more 

Differential association of psoas and paraspinal muscle volumes with appendicular lean mass index: AI-derived lumbar computed tomography three-dimensional volumetric indices in older Korean Women: an observational study.

Asian spine journal Jun 8, 2026
STUDY DESIGN: Retrospective cross-sectional study. PURPOSE: To investigate the relationship between sarcopenia-related markers and artificial intelligence (AI)-derived three-dimensional (3D) volumetric indices of lumbar muscles. OVERVIEW OF LITERATUR... read more 

Utilization of Heritage Manifestations in a Reminiscence Programme (App) Directed at Older Adults with and Without Neurocognitive Disorder, Employing AI: A Pilot Study in Portugal and Spain.

Journal of cross-cultural gerontology Jun 8, 2026
Cultural and intangible heritage has been part of human daily life since time immemorial, fulfils a function within the community and acts as an element of identity. Its potential as a stimulus in Reminiscence Therapy (RT), however, has been scarcely... read more 

A tissue-informed deep learning-based method for positron range correction in preclinical [Formula: see text]Ga PET imaging.

EJNMMI physics Jun 7, 2026
PURPOSE: Positron range (PR) limits spatial resolution and quantitative accuracy in PET imaging, particularly for high-energy positron-emitting radionuclides such as [Formula: see text]Ga. This study proposes a deep learning-based approach using 3D r... read more 

Usability of an Artificial Intelligence-Enhanced Multispectral Imaging Tool for Burn Assessment: A Multi-Centre Retrospective Heuristic Evaluation.

Journal of burn care & research : official publication of the American Burn Association Jun 7, 2026
Accurate burn depth assessment remains difficult. AI-enhanced multispectral imaging (AI-MSI) offers objective, image-based predictions, but evidence on day-to-day usability is limited. The aim of this study is to evaluate the usability of an AI-MSI d... read more 

Integrative single-cell and spatial transcriptomics analysis reveals a baicalein-responsive 10-gene signature for non-small cell lung cancer.

Translational oncology Jun 7, 2026
BACKGROUND: Non‑small cell lung cancer (NSCLC) remains a leading cause of cancer‑related mortality worldwide. Baicalein, a natural flavonoid, has shown anti‑cancer activity but its molecular targets and cell‑type‑specific effects in the tumor microen... read more 
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