AI Medical Compendium

Harnessing machine learning to improve ice sheet bed mapping.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences Apr 23, 2026

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 Apr 23, 2026

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 Apr 23, 2026

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

International journal of computerized dentistry Apr 23, 2026

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) Apr 23, 2026

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 Apr 23, 2026

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 Apr 23, 2026

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

Whole-genome sequencing and machine learning reveal candidate genomic features associated with Listeria monocytogenes persistence in two ice cream facilities.

International journal of food microbiology Apr 23, 2026

Listeria monocytogenes is a major foodborne pathogen responsible for listeriosis. Ice cream has emerged as an important vehicle for L. monocytogenes transmission, yet genomic data describing strain persistence in ice cream production environments in ... read more

Optimizing Timeliness of Healthcare Delivery in Diagnostic Radiology at U.S. Academic Centers.

Academic radiology Apr 23, 2026

RATIONALE AND OBJECTIVES: Timely radiology access is essential for accurate diagnosis, treatment planning, and efficient care delivery. U.S. academic health centers face distinctive pressures, including workforce shortages, complex workflows, health ... read more

Speaker Identification Using Voice Quality Features: A Psychoacoustic and Machine Learning Approach.

Journal of voice : official journal of the Voice Foundation Apr 23, 2026

OBJECTIVES: This study investigated the discriminative power of psychoacoustically derived voice quality features for closed-set speaker identification. Specifically, we aimed to evaluate the extent to which these features can distinguish individual ... read more

Artificial Intelligence Medical Compendium