Artificial Intelligence Medical Compendium

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

Showing 68,861 to 68,870 of 233,540 articles

Biological multi-omics approaches to next-generation biomarkers in immune-related disorders and malignancies: An overview.

Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico
Cancer and autoimmune diseases are major global health challenges characterized by molecular and clinical heterogeneity. Traditional single-analyte biomarkers often lack the sensitivity and specificity required for early detection and personalized th... read more 

Estimating the heterogeneous effect of life satisfaction on mortality: A causal machine-learning approach.

Health psychology : official journal of the Division of Health Psychology, American Psychological Association
OBJECTIVE: Life satisfaction has been linked to lower mortality risk, yet the extent to which this relationship varies across population subgroups remains poorly understood. METHOD: We used a machine-learning-based causal survival forest to evaluate ... read more 

Developing a Statistical Modeling-Based Machine Learning Approach for Capturing Drug Dosing Using a Proton Pump Inhibitor Case.

Pharmacotherapy
OBJECTIVE: To develop a statistical model to capture medication dosing for proton pump inhibitors (PPIs) using structured data from electronic health records (EHR). METHODS: Medication data for PPIs was extracted from a single health care system EHR ... read more 

Metabolic and Structural Insights of Cerebellar Dysfunction in Spinocerebellar Ataxia Type 12.

Magnetic resonance in chemistry : MRC
Spinocerebellar ataxia 12 (SCA12) is a progressive degenerative neurological disorder, primarily characterized by impaired coordination and balance. To investigate the correlation between proton (1H) magnetic resonance spectroscopy (MRS) and structur... read more 

Expansion omics: from expansion microscopy to spatial omics.

Molecular systems biology
Tissue expansion, originally developed for super-resolution imaging, has become a foundation for expansion omics (ExO), a growing field that uses physical tissue expansion to enable spatially resolved omics profiling. In this perspective, we explore ... read more 

Graph-based deep learning approach for high-throughput protein-DNA interaction scoring.

Acta pharmacologica Sinica
Accurately quantifying protein-DNA interactions (PDIs) is critical for understanding biological processes and facilitating drug design. However, the inherent flexibility of nucleic acids limits the availability of experimentally determined structures... read more 

Enhancing vertebral fracture prediction using multitask deep learning computed tomography imaging of bone and muscle.

European radiology
OBJECTIVES: To develop and externally validate a computed tomography (CT)-based multitask learning model to predict fracture risk. MATERIALS AND METHODS: This study was conducted in two parts, using a multitasking learning approach. We developed a cr... read more 

Deep learning-based classification of acute scrotum using single ultrasound images.

BJU international
OBJECTIVE: To develop a deep learning model for differential diagnosis of acute scrotum using single ultrasound (US) images. PATIENTS AND METHODS: We analysed 1172 patients with acute scrotal pain evaluated by Doppler US at four hospitals. From each ... read more 

Linking fish activity and turbidity through visual and sensor data fusion and deep learning.

Marine pollution bulletin
Monitoring underwater environments is crucial for industrial applications, providing data that can be used for reporting against corporate sustainability and environmental goals. This study presents a novel approach to integrating high-resolution und... read more