Artificial Intelligence Medical Compendium

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

Showing 39,251 to 39,260 of 223,737 articles

challenging synchronization-based network reconstruction from time series: a critical evaluation using Fitzhugh-Nagumo neural networks.

Biological cybernetics
The reconstruction of complex networks from time series data has become a common practice in neuroscience and dynamical systems, particularly using synchronization-based measures such as phase locking value (PLV) or correlation. However, the validity... read more 

Comparative evaluation of multimodal large language models for diagnostic accuracy in pediatric electrocardiography: a prospective comparative diagnostic accuracy study.

European journal of pediatrics
UNLABELLED: We evaluated three multimodal LLMs, ChatGPT (GPT-5.2), Gemini 3, and Microsoft Copilot, in pediatric ECG interpretation, focusing on clinically significant abnormalities and emergency arrhythmias with likelihood ratios as primary outcome ... read more 

Boosting foundation models for rare eye disease diagnosis via a multimodal text-to-image generative framework.

NPJ digital medicine
The rising prevalence of vision-threatening retinal diseases poses a significant burden on the global healthcare systems. Though deep learning (DL) techniques offer promising avenues for improving diagnostic efficiency, data scarcity and imbalance is... read more 

Integrated single-cell and bulk transcriptomic analysis identifies epithelial cell-related biomarkers and immune subtypes in focal segmental glomerulosclerosis.

International urology and nephrology
BACKGROUND: Focal segmental glomerulosclerosis (FSGS) is a major cause of nephrotic syndrome and chronic kidney disease, characterized by podocyte injury and glomerular scarring. Its heterogeneity complicates early diagnosis and treatment. METHODS: W... read more 

A MULTIMODAL STOOL RNA, FIT AND MACHINE LEARNING CONCEPT FOR DETECTION OF ADVANCED PRECANCEROUS LESIONS AND COLORECTAL CANCER.

Cancer prevention research (Philadelphia, Pa.)
Accurate and effective early detection of colorectal cancer (CRC) and advanced precancerous lesions (APLs) is still a challenge. The purpose of this study was to evaluate the clinical performance of a novel, non-invasive multimodal stool RNA test (mm... read more 

Reimagining Brain Drug Delivery: Mechanistic and Translational Advances in Carbon Nanotube Nanomedicine.

Journal of applied toxicology : JAT
Neurological and neurodegenerative disorders (NDDs) present ongoing therapeutic challenges attributed to the structural complexity of the central nervous system (CNS) and the restrictive properties of the blood-brain barrier (BBB), which inhibit the ... read more 

CT-Based Automated Segmentation and Recurrence Prediction in Chronic Subdural Hematoma: A Dual-Label Multicenter Study.

Journal of neurotrauma
Chronic subdural hematoma (CSDH) frequently recurs after burr-hole surgery, yet most prior imaging studies have focused primarily on hematoma and have not addressed the biomechanical effects of brain compression, which may play an important role in r... read more 

Harnessing the gut microbiota in extra-intestinal cancers: from causal evidence to immunotherapy strategies.

Immunotherapy
The gut microbiota (GM) has emerged as a key modulator of cancer development and therapeutic response beyond the gastrointestinal tract. In extra-intestinal cancers, GM composition influences oncogenesis, with specific microbial taxa and their metabo... read more