Artificial Intelligence Medical Compendium

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

Showing 6,291 to 6,300 of 205,745 articles

Beyond Anxiety: Rethinking the Psychological Drivers of Nurses' Readiness for Medical Artificial Intelligence.

Journal of evaluation in clinical practice Jun 1, 2026
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Assessing the Reliability, Accuracy, and Relevance of Artificial Intelligence Speech Recognition for Clinical Documentation: A Scoping Review.

Journal of evaluation in clinical practice Jun 1, 2026
BACKGROUND: Background Clinical documentation is a major contributor to clinician workload and burnout, with physicians spending more than half of their workday on electronic health record (EHR) tasks. Artificial intelligence (AI)-based speech recogn... read more 

CEUS-Based Microvascular Invasion Predictor in HCC: Improving Prognostic Stratification Following Thermal Ablation.

Liver international : official journal of the International Association for the Study of the Liver Jun 1, 2026
BACKGROUND & AIMS: Microvascular invasion (MVI) critically impacts hepatocellular carcinoma (HCC) management. We aimed to develop and validate a deep learning model integrating contrast-enhanced ultrasound (CEUS) and clinical features for assessing M... 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 Jun 1, 2026
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 

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 

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 

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 

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 

Causal Effect Estimation With TMLE: Handling Missing Data and Near Violations of Positivity.

Biometrical journal. Biometrische Zeitschrift Jun 1, 2026
We evaluate the performance of targeted maximum likelihood estimation (TMLE) for estimating the average treatment effect in missing data scenarios under varying levels of positivity violations. We employ model- and design-based simulations, with the ... read more 

The DeepJoint Algorithm: An Innovative Approach for Studying the Longitudinal Evolution of Quantitative Mammographic Density and Its Association With Screen-Detected Breast Cancer Risk.

Biometrical journal. Biometrische Zeitschrift Jun 1, 2026
High mammographic density is a well-known risk factor for breast cancer and reduces the sensitivity of mammography-based screening. While automated machine and deep learning-based methods provide more consistent and precise measurements compared to s... read more 
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