AI Medical Compendium

Bridging electron microscopy and materials analysis with an autonomous agentic platform.

Science advances Apr 1, 2026

Electron microscopy (EM) reveals atomic-scale structures that underpin catalysis, energy storage, and semiconductor reliability, yet current workflows remain fragmented across segmentation, crystallographic reconstruction, property modeling, and lite... read more

Integrating Generative AI Into Patient-Centered Clinical Decision Support: Viewpoint on Research and Practice Considerations.

Journal of medical Internet research Apr 1, 2026

There is growing interest in understanding how generative artificial intelligence (GenAI) can support patients and caregivers in making informed health care decisions, known as patient-centered clinical decision support (PC CDS). In this viewpoint, w... read more

A Conversational Platform (Okaya) for Multimodal Digital Biomarkers of Fatigue, Cognition, and Mental Health: Feasibility Observational Study.

JMIR formative research Apr 1, 2026

BACKGROUND: Collection of multimodal data (video, audio, and text) can yield digital biomarkers relevant to mental health, fatigue, and cognition. However, the feasibility and signal characteristics in operational populations remain underexplored. OB... read more

BA-Pred and RMSD-Pred: Integrated Graph Neural Network Models for Accurate Protein-Ligand Binding Affinity and Binding Pose Prediction.

Journal of chemical information and modeling Apr 1, 2026

Accurate prediction of protein-ligand bound poses and their affinities is essential in structure-based drug discovery. Here, we present an integrated deep-learning framework that disentangles the two core tasks─affinity estimation and pose evaluation... read more

Factors Influencing Universal Coverage of AI-Assisted Cervical Cancer Screening: Qualitative Study Based on the Macro Model of Health System.

Journal of medical Internet research Apr 1, 2026

BACKGROUND: Improving screening coverage is a central goal of the global strategy to eliminate cervical cancer. In resource-constrained settings, insufficient service accessibility remains a key barrier to expanding coverage. Supported by artificial ... read more

Development and Validation of Machine Learning Models for Predicting Early Cognitive Decline Using Home Sensor-Derived Behavioral Data: Sensors in-Home for Elder Wellbeing (SINEW) Cohort Study.

JMIR research protocols Apr 1, 2026

BACKGROUND: As the global population continues to age, the prevalence of geriatric conditions, including dementia and frailty, is also increasing. Early identification of individuals at an elevated risk of these conditions, such as those presenting w... read more

The Patient Monitoring Roundtable as Catalyst for Health Care Innovation: Case Study.

Journal of participatory medicine Apr 1, 2026

BACKGROUND: In the field of patient monitoring, there often remains a gap between clinical needs and the monitoring technologies available from industry. To conquer this, the Patient Monitoring Roundtable (PMRT) live event series offers a sustainable... read more

A comparative approach on classification of medical condition drug reviews using multiple traditional and neural network-based models.

Computer methods in biomechanics and biomedical engineering Apr 1, 2026

This paper uses national language processing techniques to perform sentiment analysis, classifying user-written drug reviews for pain, depression, and birth control. Six machine learning (ML)-based models are employed for analysis, including neural n... read more

FLASH: Energy-Efficient FPGA Acceleration via Linear Approximation and Streamlined Two-Stage Pipeline Architectures for Quantized CNN-Transformer Hybrid Networks.

IEEE transactions on neural networks and learning systems Apr 1, 2026

Hybrid Vision Transformers (HybridViTs), which integrate convolutional neural networks (CNNs) with Transformer blocks, offer both local and global feature extraction capabilities, achieving high performance across a range of computer vision tasks. Ho... read more

Rethinking Skeleton-based Action Recognition from Action-class Prediction Distribution Perspective.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Apr 1, 2026

Action recognition has long been a fundamental and compelling problem in the field of computer vision. However, one aspect that has been overlooked so far is that current action recognition approaches often produce an unfavourable multi-peaked distri... read more

Artificial Intelligence Medical Compendium