Artificial Intelligence Medical Compendium

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

Showing 7,981 to 7,990 of 207,819 articles

A benchmarking of genomic selection models for predicting grain-yield related traits using haplotype-based and genome-wide association study-based markers in rice.

The plant genome
Rice (Oryza sativa) is an important staple food, feeding more than half of the global population. A feasible improvement of rice yield is necessary to meet the ever-growing food demands. Genomic selection (GS), as an advanced breeding technique, enab... read more 

Med.ai ASK: an agentic system for biomedical question answering.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Intelligent agent-driven research co-pilots, leveraging advances in generative AI, are transforming how scientists access biomedical knowledge. This paper presents Med.ai ASK, an agentic question-answering system designed to address biomed... read more 

Is one run enough? Reproducibility of flagship large language models across temperature and reasoning settings in biomedical text processing.

Journal of the American Medical Informatics Association : JAMIA
BACKGROUND: To quantify run-to-run reproducibility of Gemini 3 Flash Preview and GPT-5.2 for trial-success classification across temperature and reasoning/thinking settings and determine whether single-run reporting suffices. MATERIALS AND METHODS: W... read more 

Exploring Student Perceptions of Generative AI Therapists and Their Benefits and Challenges in Schools.

International journal of psychology : Journal international de psychologie
This study investigates secondary school students' perceptions of generative AI (GenAI) as virtual mental health therapists within educational settings. Leveraging data from the written reflections of 69 Hong Kong secondary school students engaged in... read more 

A critical evaluation of generative query expansion on biomedical literature retrieval.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: To evaluate the effectiveness of generative query expansion for biomedical literature retrieval. MATERIALS AND METHODS: We thoroughly examined eight generative query expansion methods using three large language models across five datasets ... read more 

Using Machine Learning to Analyze the Predictors of Life Satisfaction: Focus on Lifestyle Attitudes and Psychological Factors.

International journal of methods in psychiatric research
OBJECTIVES: Life satisfaction is an essential indicator of quality of life, and enhancing it can contribute to individual well-being strategies. Because it is a complex concept, a comprehensive approach is needed to address it effectively. Machine le... read more 

GWAS and genomic prediction of crown rust resistance in the southern US elite oat (Avena sativa L.) germplasm.

The plant genome
Crown rust (CR), caused by Puccinia coronata f. sp. avenae, is a major constraint to oat (Avena sativa L.) production in the southern United States. We dissected the genetic architecture of CR resistance and assessed genomic prediction in 234 winter ... read more 

How to Teach Generative Artificial Intelligence in Undergraduate Medical Education.

The clinical teacher
Generative artificial intelligence (AI) refers to computational systems capable of analysing data, recognising patterns and generating outputs that may support decisions. In healthcare, AI has the potential to improve diagnostic accuracy and provide ... read more 

Unraveling the Dynamics of Oxytocin in Hypothalamic Neurons.

Traffic (Copenhagen, Denmark)
Oxytocin plays a critical role in social behavior and maternal physiology, yet the intracellular dynamics of oxytocin-containing vesicles in neurons remain poorly characterized. Here, we combine experimental data from live cell imaging of oxytocin-co... read more 

Harnessing Artificial Intelligence to Counter Microbial Immune Evasion Strategies.

Clinical laboratory
BACKGROUND: Microbial pathogens deploy sophisticated mechanisms to evade host immune responses, complicating the development of effective therapeutics. Artificial intelligence (AI) offers innovative tools to analyze complex host-pathogen interactions... read more