Artificial Intelligence Medical Compendium

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

Showing 4,741 to 4,750 of 203,854 articles

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 

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

Biometrical journal. Biometrische Zeitschrift
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
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 

Input Layer Regularization and Automated Regularization Hyperparameter Tuning for Myelin Water Estimation Using Deep Learning.

NMR in biomedicine
We present a deep learning framework that combines classical regularization and data preprocessing to improve estimation of the myelin water fraction (MWF) in the brain from magnetic resonance relaxometry data. The proposed method is developed within... read more 

Prediction of Skeletal Muscle Mass Measured by Bioelectrical Impedance Analysis in Older Adults Using Anthropometric Data.

Australasian journal on ageing
OBJECTIVE: Accurate estimation of skeletal muscle mass is a key component in the screening for sarcopenia. Anthropometric parameters provide a non-invasive, cost-effective alternative, yet their predictive capability can be enhanced with machine lear... read more 

Digital Health in Midwifery Practice: A Qualitative Review of Midwives' Experiences and Perceptions.

International nursing review
AIM: To synthesize qualitative evidence on midwives' experiences and perceptions regarding the use of digital health technologies in clinical maternity care. BACKGROUND: Although digital health technologies are rapidly transforming maternity care, th... read more 

A Cross-Disease Microglial Transcriptional Program Characterizes Neurodegeneration and Highlights SPP1 as a Biomarker.

Glia
Microglial cells are key players in maintaining brain homeostasis and responding to pathological conditions. Their multifaceted roles in health and disease have garnered significant attention in the context of neurodegeneration. In recent years, sing... read more