Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 211,462 articles

Integrative single-cell and spatial transcriptomics combined with machine learning to discover complement-associated biomarkers in temporal lobe epilepsy with hippocampal sclerosis.

Functional & integrative genomics
Temporal lobe epilepsy with hippocampal sclerosis (TLE-HS) poses significant challenges in therapeutic management. While studies have demonstrated seizure-induced alterations in peripheral immune molecules, the complement system, a central component ... read more 

Explainable Machine-Learning Model for Predicting Severe Obstructive Sleep Apnea in Patients Undergoing Metabolic Bariatric Surgery.

Obesity surgery
BACKGROUND: Severe obstructive sleep apnea (SOSA) is associated with an increased risk of perioperative complications in patients undergoing metabolic bariatric surgery. However, polysomnography-based screening remains limited by poor accessibility a... read more 

Bouncing back from stress: objective markers of expressive flexibility and resilience in emergency healthcare workers using computer vision.

NPP - digital psychiatry and neuroscience
Healthcare workers (HCWs) in emergency departments face significant mental health risk due to chronic stressors and repeated trauma, yet symptom underreporting and bias in self-reports hinder accurate assessments. Expressive flexibility, the ability ... read more 

Hybrid Response Surface-Machine Learning Optimization of Doxorubicin-Loaded Chitosan Nanoparticles.

ACS applied bio materials
Chitosan nanoparticles (CS NPs) are widely explored for drug delivery due to their biocompatibility, biodegradability, and favorable cationic surface properties; however, formulation optimization is often limited by one-factor-at-a-time (OFAT) and tr... read more 

Letter to the Editor Re: "Deep learning models for lumbar spinal stenosis on MRI: model comparison and clinical benchmarking" by Lee et al. (Eur Spine J [2026] 35:548-558. DOI: 10.1007/s00586-025-09443-2).

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
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Machine learning-enhanced 3GPP channel modeling for 5G networks: A vendor-calibrated framework with cross-scenario validation.

PloS one
Accurate channel characterization across diverse propagation environments is foundational to 5G network planning, yet existing machine learning approaches rarely integrate standardized 3GPP frameworks with vendor-specific equipment parameters. This s... read more 

Comparison of Super-Resolution Deep-Learning Reconstruction and Hybrid Iterative Reconstruction for Coronary Stent Assessment on CTA: A Prospective Multicenter Study.

AJR. American journal of roentgenology
Background: Conventional deep-learning reconstruction (DLR) CT methods provide noise reduction but limited improvements in spatial resolution. Objective: To compare a novel super-resolution DLR (SR-DLR) algorithm and a hybrid iterative reconstruction... read more 

Automated comet assay analysis using YOLOv5-based deep learning.

Technology and health care : official journal of the European Society for Engineering and Medicine
BackgroundThe comet assay is a sensitive and widely used technique for assessing DNA damage at the single-cell level. Despite its advantages, traditional manual scoring methods remain time-consuming, subjective and limited in scalability, posing chal... read more 

Predicting preoperative lymph node metastasis of hilar cholangiocarcinoma based on deep learning radiomics.

The ultrasound journal
BACKGROUND: The objective of this study was to evaluate whether deep learning radiomic (DLR) models utilizing B-mode ultrasound (BUS) and contrast-enhanced ultrasound (CEUS) could improve the preoperative prediction of lymph node metastasis (LNM) in ... read more 

Current and Novel Biomarkers for Diagnosis and Subtyping of Primary Aldosteronism.

Hypertension (Dallas, Tex. : 1979)
Primary aldosteronism is a common and potentially curable cause of secondary hypertension, yet it remains substantially underdiagnosed. Current diagnostic pathways rely on the aldosterone-to-renin ratio, confirmatory tests, and subtype classification... read more