AI Medical Compendium

Explainable AI Approaches in Federated Learning: Systematic Review.

JMIR AI Feb 3, 2026

BACKGROUND: Artificial intelligence (AI) has, in the recent past, experienced a rebirth with the growth of generative AI systems such as ChatGPT and Bard. These systems are trained with billions of parameters and have enabled widespread accessibility... read more

Behavioral Dynamics of AI Trust and Health Care Delays Among Adults: Integrated Cross-Sectional Survey and Agent-Based Modeling Study.

Journal of medical Internet research Feb 3, 2026

BACKGROUND: While artificial intelligence (AI) holds significant promise for health care, excessive trust in these tools may unintentionally delay patients from seeking professional care, particularly among patients with chronic illnesses. However, t... read more

An Explanation User Interface for Artificial Intelligence-Supported Mechanical Ventilation Optimization for Clinicians: User-Centered Design and Formative Usability Study.

JMIR formative research Feb 3, 2026

BACKGROUND: The integration of artificial intelligence (AI) into clinical decision support systems (CDSSs) for mechanical ventilation in intensive care units (ICUs) holds great potential. However, the lack of transparency and explainability hinders t... read more

Assessing the Feasibility, Usability, Acceptability, and Efficacy of an AI Chatbot for Sleep Promotion: Quasi-Experimental Study.

JMIR formative research Feb 3, 2026

BACKGROUND: Poor sleep is a concerning public health problem in the United States. Previous sleep interventions often face barriers such as high costs, limited accessibility, and low user engagement. Recent advancements in artificial intelligence (AI... read more

Association and Agreement of Contact-Based Smartphone Photoplethysmography Compared With Electrocardiography: Protocol for a Systematic Review and Meta-Analysis.

JMIR research protocols Feb 3, 2026

BACKGROUND: Mobile health (mHealth), leveraging mobile devices for health measurement and promotion, is rapidly growing. Smartphone cameras can perform photoplethysmography (PPG) to estimate pulse rate (PR) and other features of the cardiac cycle. Ho... read more

A Lightweight Depthwise Separable Convolution and Channel Attention Based GRU Network for Multichannel EEG Seizure Detection.

Biomedical physics & engineering express Feb 3, 2026

Epilepsy is the fourth most common neurological disorder, and seizures significantly impact quality of life of affected individuals. Electroencephalography (EEG) based seizure detection has emerged as a critical research area to improve the diagnosis... read more

CCE-Net: A Lightweight Context Contrast Enhancement Network and Its Application in Medical Image Segmentation.

Biomedical physics & engineering express Feb 3, 2026

Efficient and accurate image segmentation models play a vital role in medical image segmentation, however, high computational cost of traditional models limits clinical deployment. Based on pyramid visual transformers and convolutional neural network... read more

DBFANet: a dual-branch feature alignment network for automated detection of breast cancer bone metastasis.

Physics in medicine and biology Feb 3, 2026

Bone scan imaging for the detection of bone metastasis of breast cancer has been widely adopted; however, noise, anatomy superimposition, and small size for early lesions will severely affect its prediction performance. In this work, we propose a new... read more

A rapid and accurate guanidine CEST imaging in ischemic stroke using a machine learning approach.

Physics in medicine and biology Feb 3, 2026

OBJECTIVE: Rapid and accurate mapping of brain tissue pH is crucial for early diagnosis and management of ischemic stroke. Amide proton transfer (APT) imaging has been used for this purpose but suffers from hypointense contrast and low signal intensi... read more

Prenatal Stress Detection from Electrocardiography Using Self-Supervised Deep Learning: Development and External Validation

arXiv Feb 3, 2026

Prenatal psychological stress affects 15-25% of pregnancies and increases risks of preterm birth, low birth weight, and adverse neurodevelopmental outcomes. Current screening relies on subjective questionnaires (PSS-10), limiting continuous monitorin... read more

Quantitative Methods cs.LG

Artificial Intelligence Medical Compendium