OBJECTIVE: Traditional survival prediction models use a patient's covariates at a single time point to estimate the time until a specific event occurs, such as death or hospital readmission. However, in many longitudinal datasets, patient covariates ... read more
OBJECTIVE: This study proposes the gingival inflammation grading model Hybrid-Frequency Self-Attention Detection Transformer (HFSA-DETR), which is based on a dual-domain spatial-frequency analysis and adaptive sparse attention mechanism. The model ai... read more
OBJECTIVES: To evaluate the performance and repeatability of different artificial intelligence chatbots (ChatGPT-4o, ChatGPT-o3 and ChatGPT-5) in generating the most optimal design for a removable partial denture framework for a given clinical case. ... read more
International journal of medical informatics
Feb 11, 2026
BACKGROUND: Patients increasingly use large language models (LLMs) for health information, yet the guideline concordance and safety of patient-facing outputs-particularly across languages-remain uncertain. We evaluated three widely used LLM platforms... read more
Background: Transcranial magnetic stimulation (TMS) is an FDA-cleared neuromodulation technique with expanding clinical applications beyond major depressive disorder. Despite increasing utilization, there has been no published, device-agnostic analys... read more
This study presents an integrated geospatial-InSAR-machine learning framework for analyzing land subsidence, assessing flood vulnerability, and projecting future relative sea-level rise (RSLR) in the Indian Sundarbans. By combining multi-temporal Sen... read more
The immune evasion that is encouraged by the tumor microenvironment (TME) is a key factor in the failure of cancer immunotherapies. This review addresses how tumor cells avoid immune surveillance, which is critically dependent on cellular and molecul... read more
BACKGROUND: Although many risk prediction models have been developed, very few undergo external validation, primarily due to issues with data access. Therefore, we implemented a reciprocal model-exchange approach to facilitate external validation and... read more
Plant genome biology is entering a new era defined by fully phased, chromosome-scale, telomere-to-telomere assemblies, enabled by the convergence of long-read sequencing technologies, improved assembly algorithms, and powerful scaffolding strategies.... read more
As the world's population ages, ensuring the safety of older adult pedestrians has become an urgent priority in transportation planning. However, most existing studies rely on global models that overlook spatial heterogeneity and fail to capture nonl... read more
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.