AI Medical Compendium

Dual elastography ultrasound for classifying metabolic dysfunction-associated steatotic liver disease: a cross-sectional study within a prospective cohort.

Hepatology international Feb 5, 2026

BACKGROUND: The binary diagnostic approach does not reflect the entire spectrum of metabolic dysfunction associated steatotic liver disease (MASLD. We used an elastography technology, dual elastography ultrasound (DEUS), to discriminate the different... read more

Prediction of remission in cushing's disease using artificial intelligence: A systematic review and meta-analysis.

Neurosurgical review Feb 5, 2026

AI-augmented decision-making in face matching: comparing concurrent and non-concurrent advice presentation.

Cognitive research: principles and implications Feb 5, 2026

A primary aim of human-AI teaming is to achieve better collaborative performance than either can achieve alone. Despite considerable efforts in this direction, issues such as overreliance of users on decision aids continue to be a challenge which pre... read more

Evaluating guideline adherence in LLM studies using LLMs.

Japanese journal of radiology Feb 5, 2026

PURPOSE: To evaluate the capability of large language models (LLM), specifically GPT-4 and o1, in assessing adherence to the MI-CLEAR-LLM checklist in previously published studies. MATERIALS AND METHODS: A total of 159 medical research articles relat... read more

Conscience, Care, and Code: Moral Theology, AI, and Ethical Decision-Making at the Thresholds of Life.

Journal of religion and health Feb 5, 2026

Healthcare decisions at the beginning and end of life pose enduring moral challenges that are increasingly intensified by the integration of artificial intelligence (AI) into clinical practice. This article examines these challenges through a moral-t... read more

Large Language Models and Otolaryngology: A Review.

JAMA otolaryngology-- head & neck surgery Feb 5, 2026

IMPORTANCE: Large language models (LLMs), a rapidly advancing domain of artificial intelligence (AI), are poised to transform administrative, clinical, and research paradigms. Although adoption across medicine has accelerated, otolaryngology represen... read more

General-Purpose Models for the Chemical Sciences: LLMs and Beyond.

Chemical reviews Feb 5, 2026

Data-driven techniques have a large potential to transform and accelerate the chemical sciences. However, chemical sciences also pose the unique challenge of very diverse, small, fuzzy data sets that are difficult to leverage in conventional machine ... read more

A review of the use of finite element simulation and machine learning techniques in the morphological analysis of breast tissue.

Computer methods in biomechanics and biomedical engineering Feb 5, 2026

With the advancement of modern medicine and engineering, breast deformation analysis has become increasingly important in the fields such as cosmetic surgery, reconstructive surgery, sports biomechanics, and health-related research. The morphological... read more

Evaluation of deliverable dose-mimicking automated volumetric arc radiation therapy planning for stage III non-small cell lung cancer patients: comparison with a commercial DVH-predicted automated planning system.

Journal of radiation research Feb 5, 2026

This study aimed to evaluate the clinical validity of a dose-mimicking automated planning for volumetric-modulated arc therapy (VMAT) in patients with stage III non-small cell lung cancer (NSCLC), through direct comparison with a commercial dose volu... read more

Controversies in Computer-Assisted Detection in Colonoscopy.

Digestion Feb 5, 2026

BACKGROUND: Artificial intelligence (AI) applications in endoscopy, particularly computer-aided detection (CADe), have shown consistent benefit in randomized controlled trials (RCTs), with improvements in adenoma detection rate (ADR) and reductions i... read more

Artificial Intelligence Medical Compendium