Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Mar 24, 2026
The development of perovskites and perovskite-inspired materials (PIMs) is driven by the need for efficient, non-toxic and stable solar energy conversion technologies. While halide perovskites exhibit outstanding optoelectronic properties, their prac... read more
BACKGROUND: The prediction of the onset of sepsis, a life-threatening condition resulting from a dysregulated response to an infection, is one of the most common prediction tasks in intensive care-related machine learning research. To assess the perf... read more
Artificial intelligence (AI) and radiomics show significant potential to augment bladder cancer (BC) MRI but face a critical translational gap. This scoping review of 79 studies maps a rapidly growing field dominated by retrospective, single-center d... read more
OBJECTIVES: To evaluate the image quality, interpretation consistency, and scanning efficiency of deep learning-based reconstruction (DLR) algorithm (AIRâ„¢ Recon DL; GE Healthcare) compared with conventional reconstruction (ConR) in T2-weighted MRI fo... read more
OBJECTIVES: To develop and validate an automatic, scalable framework for assessing the femoro-tibial osteoarthritic cartilage severity using high-resolution cartilage thickness maps (CTh-Maps) and a CTh-Score. MATERIALS AND METHODS: The osteoarthriti... read more
Journal of health organization and management
Mar 24, 2026
PURPOSE: This study examines how artificial intelligence (AI) innovation and ethical governance influence sustainable healthcare outcomes in Bangladesh, with patient trust and perceived safety acting as mediators and digital and health literacy servi... read more
Knee MRI plays a central role in musculoskeletal diagnostics but has traditionally been associated with relatively long acquisition times. Recent technological advances have fundamentally changed this paradigm. Parallel imaging (PI), simultaneous mul... read more
OBJECTIVE: To investigate the protective effects and underlying molecular mechanisms of Laminaria japonica polysaccharides (LPs) against cataract. METHODS: An integrated strategy combining transcriptomic analysis, network pharmacology, machine learni... read more
BACKGROUND: This study aimed to develop a shortened version of the Positive And Negative Sleep Appraisal Measure (PANSAM) that accurately predicts the total score across its four subscales using a machine learning-based approach to streamline the sub... read more
Prevention science : the official journal of the Society for Prevention Research
Mar 24, 2026
Enhancing health-promoting behaviors (HPBs) in older adults is crucial for chronic disease management and healthy aging in the context of population aging. Accurate assessment of individual HPB levels can facilitate the development of personalized in... read more
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