Artificial Intelligence Medical Compendium

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

Showing 5,231 to 5,240 of 204,381 articles

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

Journal of the American Medical Informatics Association : JAMIA Jun 1, 2026
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 

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

International journal of psychology : Journal international de psychologie Jun 1, 2026
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 

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 Jun 1, 2026
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 

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

Journal of the American Medical Informatics Association : JAMIA Jun 1, 2026
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 

A novel and accurate EEG emotion classification model based on multiple attention local binary patterns.

BMC medicine Jun 1, 2026
BACKGROUND: Electroencephalography (EEG) signals play a crucial role in understanding brain activity because they provide useful information about real emotions and intentions. Many machine learning models have been used for automatic EEG-based emoti... read more 

CCDC6, a ferroptosis-related gene, modulates stemness features of pancreatic cancer cells in vitro.

BMC cancer Jun 1, 2026
OBJECTIVE: Pancreatic cancer (PC) poses a significant threat to patient quality of life. Ferroptosis, a novel form of non-apoptotic cell death, is implicated in pancreatic tumorigenesis and therapy resistance. This study aims to identify key ferropto... read more 

Predicting depressive symptoms among Chinese college students using recurrent neural networks with longitudinal data.

Scientific reports Jun 1, 2026
College students face a higher risk of depression than their non-college peers. However, the predictors of depressive symptoms among college students and their relative importance remain inconclusive. This study aimed to develop predictive models for... read more 

Correction to: Integrating transcriptomics, network pharmacology, and GraphBAN neural networks to identify biomarkers and regulatory mechanisms of classical traditional Chinese medicine formulations in ulcerative colitis.

Naunyn-Schmiedeberg's archives of pharmacology Jun 1, 2026
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Deep learning for automatic segmentation of the inferior alveolar nerve using a hybrid CNN-transformer framework.

Scientific reports Jun 1, 2026
Accurate identification of the inferior alveolar nerve (IAN) is essential for preventing nerve injury during dental and maxillofacial procedures such as tooth extraction, implant placement, and orthognathic surgery. However, manual annotation of the ... read more 

Assessing Delay Patterns in Diagnosis and Care Among Breast Cancer Patients in Ethiopia.

Cancer reports (Hoboken, N.J.) Jun 1, 2026
BACKGROUND: In Ethiopia, breast cancer patients often present with advanced-stage disease, leading to high mortality. This study aimed to quantify diagnostic and treatment intervals and identify their association with stage at presentation. AIM: The ... read more 
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