AI Medical Compendium

The answer lies within: Detecting Trojans from DNNs' inherent characteristics.

Neural networks : the official journal of the International Neural Network Society Jan 10, 2026

Deep neural networks (DNNs) are vulnerable to Trojan attacks, where adversaries implant Trojans that cause DNNs to misbehave when encountering specific triggers. Detecting Trojans in DNNs is crucial to mitigate potential safety risks. Traditional met... read more

AI assisted, mentor-guided narrative review writing task for medical students, a novel educational strategy to enhance research and academic writing.

Medical teacher Jan 10, 2026

INTRODUCTION: The integration of artificial intelligence (AI) tools into medical education presents new opportunities for enhancing students' research skills and scientific writing. However, concerns remain about the potential for cognitive disengage... read more

Unlocking the potential of Artificial Intelligence: A guideline for deployment.

Physiotherapy Jan 10, 2026

The rapid development of Artificial Intelligence technology and digital tools is becoming pivotal to advancing healthcare. AI technology has demonstrated significant capabilities as a clinical decision support tool, extracting actionable data from fr... read more

Performance of Seven Large Language Models on Anatomy Examination Questions.

Clinical anatomy (New York, N.Y.) Jan 10, 2026

Artificial intelligence is among the most rapidly developing branches of technology. It has proven to be a helpful tool in various fields, including medicine. Significant advances in the development of new language models prompt an evaluation of thei... read more

A Novel Acetylcholine Nanosensor for Single Vesicle Storage and Sub-Quantal Exocytosis in Living Neurons and Organoids.

Angewandte Chemie (International ed. in English) Jan 10, 2026

Acetylcholine (ACh) is a critical neurotransmitter that regulates diverse physiological functions, such as cognition and muscle contraction, through synaptic transmission. However, in situ quantitative chemical analysis of single-vesicle storage and ... read more

Utilizing Machine Learning for Predicting PrEP Use Status Among Sexual and Gender Minority Young Adults.

Prevention science : the official journal of the Society for Prevention Research Jan 10, 2026

Pre-exposure prophylaxis (PrEP) is a highly effective biomedical prevention tool for HIV yet remains underutilized among key populations, particularly among young sexual and gender minorities (SGM). Recognizing the popularity of specific dating and s... read more

Realizing Cocktail Effects in Catalytic High-Entropy Metal-Organic Frameworks (HEMOFs) via Predictive Density of State Calculations.

Angewandte Chemie (International ed. in English) Jan 10, 2026

High-entropy materials, particularly high-entropy metal-organic frameworks (HEMOFs), represent a promising class of catalysts amenable to imparting superior activity via harnessing cocktail effects. However, optimal leveraging of these effects remain... read more

Preliminary insights into artificial intelligence guided dosing in hypertension and diabetes: challenges and lessons learnt in a pilot feasibility study.

JAMIA open Jan 10, 2026

OBJECTIVE: CURATE.AI is an artificial intelligence platform enabling personalised drug dosing. Aims:1) Determine the feasibility of using CURATE.AI in the outpatient setting.2) Compare the consistency of CURATE.AI recommendations derived from differe... read more

Quantifying the effect of Behaviour Self-Regulation on well-being through causal analysis: A methodological framework for longitudinal health data.

Journal of biomedical informatics Jan 10, 2026

Understanding the drivers of well-being from longitudinal behavioural data is a fundamental challenge in biomedical informatics, where traditional analyses often conflate correlation with causation. This paper presents a rigorous application of causa... read more

Automating prostate biopsy guidance: A robust CNN approach for non-rigid 3D/3D MR-TRUS image registration.

Computers in biology and medicine Jan 10, 2026

Fusing transrectal ultrasound (TRUS) and magnetic resonance (MR) images has significantly improved the accuracy of prostate cancer detection during targeted biopsies. However, automatic MR-TRUS registration remains challenging due to the large anatom... read more

Artificial Intelligence Medical Compendium