Artificial Intelligence Medical Compendium

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

Showing 27,631 to 27,640 of 218,939 articles

AI-Supported Learning Platforms for Students With Developmental Disabilities: A SWOT Analysis Approach.

Journal of intellectual disability research : JIDR
BACKGROUND: This study examines the evolving role of Artificial Intelligence (AI) in developmental disability education, focusing on the shift from diagnosis-centred approaches to inclusive, learning-oriented paradigms grounded in STS, UDL and TPACK ... read more 

What next for ice-sheet bed measurements?

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Subglacial topography and basal conditions form critical controls on ice-sheet dynamics and ice-flow pathways. These controls modulate basal shear stress, affect grounding-line stability and allow the potential for marine ice-sheet instability. Deep ... read more 

New high-resolution subglacial bed topography and coastal bathymetry of the Antarctic and Greenland Ice Sheets.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
The description of the bed topography under the Greenland and Antarctic Ice Sheets has greatly improved over the past decade through new field campaigns and mapping techniques, leading to BedMachine, a high-resolution gridded bed map widely used by t... read more 

Harnessing machine learning to improve ice sheet bed mapping.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Airborne radio-echo sounding (RES) surveys are currently the primary method of measuring ice sheet thickness to derive subglacial topography, which underpins modelling efforts to improve projections of sea-level rise. However, the scientific impact o... read more 

A community vision for next-generation bed mapping in Antarctica.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Antarctic bed mapping underpins our understanding of ice-sheet stability, grounding-line retreat and future sea-level rise. Detailed geomorphological and geophysical knowledge, integrated with geological characteristics, reveals long-term processes s... read more 

Agentic Artificial Intelligence in Dermatology.

International journal of dermatology
read more 

AI-assisted semi-automated segmentation for tooth volume analysis in postmortem CT imaging: evaluation of forensic applicability.

International journal of computerized dentistry
OBJECTIVES: This study investigates whether tooth volume measurements derived from postmortem computed tomography (PMCT) can provide discriminatory information relevant for forensic identification or demographic profiling. In particular, it evaluates... read more 

Empowering Patients and Clinicians: LLMs in Hypertension Care: A Scoping Review.

Hypertension (Dallas, Tex. : 1979)
Large language models have emerged as potential tools to support hypertension care, including diagnosis, treatment decision-making, and patient education. However, evidence regarding their validity, performance, and clinical applicability remains lim... read more 

Exploring schizophrenia-associated image-derived digital phenotypes in dual-energy X-ray densitometer scans of non-dominant distal forearm: An explainable machine-learning framework.

Psychiatry research
Schizophrenia remains diagnosed primarily through clinical assessment, which motivates the researchers to search for quantifiable digital phenotypes. Prior studies suggest that skeletal differences are associated with schizophrenia, leading us to exp... read more 

Integrating multi-omics data for enhanced prognosis prediction in gastric cancer post-neoadjuvant therapy.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
BACKGROUND: Neoadjuvant therapy is crucial for locally advanced gastric cancer (LAGC), yet response varies significantly. Traditional models based on clinicopathological features often lack precision. This study aimed to develop and validate a compre... read more