AI Medical Compendium

Virtual reality and augmented reality technology for safety training in high-risk industries: A literature review on applications, perspectives and challenges.

Work (Reading, Mass.) Feb 27, 2026

BackgroundHigh-risk industries such as construction, mining, and oil and gas consistently face significant safety challenges due to inherently hazardous operations. Traditional safety training methods prove inadequate as they cannot realistically sim... read more

A Comparative Study of Generative Artificial Intelligence Tools for Human Bone Learning.

Clinical anatomy (New York, N.Y.) Feb 27, 2026

The aim of this study was to evaluate the effectiveness of three different generative AI tools, ChatGPT-4o, Claude 3.7 Sonnet, and Gemini 2.0 Flash, with a specific focus on their accuracy and response consistency in supporting self-directed learning... read more

Predicting non-alcoholic fatty liver disease (NAFLD) using machine learning algorithms: Evidence from a large-scale community cohort in Taiwan.

Bioscience trends Feb 27, 2026

Closely associated with metabolic disorders, non-alcoholic fatty liver disease (NAFLD) substantially increases the risk of hepatocellular carcinoma. This study aimed to apply machine learning (ML) algorithms to a community-based cohort in southern Ta... read more

Artificial intelligence and large language models for interview transcription in qualitative research: competency, politeness and ethical implications.

Journal of clinical epidemiology Feb 27, 2026

Sustainable valorisation of agricultural residues into polyhydroxybutyrate and amylase using XGBoost-optimised extractive co-fermentation and its macromolecular characterization.

International journal of biological macromolecules Feb 27, 2026

As food production increases globally, the disposal of agro-waste is an additional issue. However, turning this waste into products through sustainable methods could probably reduce environmental impact. In this work, the inexpensive carbon sources r... read more

Virtual Control Groups in Nonclinical Research: A Re-analysis of 20 Studies Using Virtual Control Group Data.

Regulatory toxicology and pharmacology : RTP Feb 27, 2026

Animal models are crucial in biomedical research, particularly in pharmaceutical discovery and safety testing. Recent legislative updates and regulatory shifts, such as the FDA Modernization Act 2.0 and European Parliament Resolution 2021/2784(RSP), ... read more

'OrthoQA' semantic search and question-answering tool for orthodontic education.

Journal of dentistry Feb 27, 2026

OBJECTIVE: To develop and systematically evaluate a domain-specific retrieval-augmented question-answering system, 'OrthoQA,' for orthodontic education. METHODS: Using a retrieval-augmented generation (RAG) architecture, content from 18 orthodontic t... read more

Exploring the role of phage resistance by using label-free SERS for biochemical profiling of gram-negative pathogen Pseudomonas aeruginosa strains with machine learning approach.

Journal of microbiological methods Feb 27, 2026

Pseudomonas aeruginosa (P. aeruginosa) is an emerging gram-negative pathogen, accountable for diverse and chronic nosocomial infections, particularly in immunocompromised patients and frequently associated with multidrug resistant, posing a serious c... read more

Making authors recognize the use or non-use of artificial intelligence in peer review.

Anaesthesia, critical care & pain medicine Feb 27, 2026

Satellite-Driven Modelling of NO2 and PM2.5 Across Germany (2019-2024): A Multi-Sensor Machine-Learning Approach.

Environmental pollution (Barking, Essex : 1987) Feb 27, 2026

Mapping air pollution across space remains challenging, even in countries with dense monitoring networks. In Germany, pollutant levels can change over short distances because of traffic, land use, and meteorological conditions, while national assessm... read more

Artificial Intelligence Medical Compendium