Artificial Intelligence Medical Compendium

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

Showing 39,281 to 39,290 of 223,737 articles

Machine Learning for Designing Perovskites and Perovskite-Inspired Solar Materials: Emerging Opportunities and Challenges.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
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 

The Impact of Evaluation Strategy on Sepsis Prediction Model Performance Metrics in Intensive Care Data: Retrospective Cohort Study.

Journal of medical Internet research
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 and radiomics in bladder cancer MRI: a scoping review of applications, performance, and barriers to clinical translation.

Abdominal radiology (New York)
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 

Deep learning reconstruction enables accelerated T2-weighted MRI for rectal cancer staging: a prospective study of diagnostic consistency across NEX value reduction.

Abdominal radiology (New York)
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 

Automatic framework for evaluating osteoarthritic cartilage severity: high-resolution cartilage thickness mapping and scoring.

European radiology
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 

Ethical AI innovation in healthcare and sustainable development in Bangladesh.

Journal of health organization and management
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 

Best fast MRI protocols for the knee: advantages and limitations.

Skeletal radiology
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 

Revealing the therapeutic potential of Laminaria japonica polysaccharides against cataract: evidence from transcriptomics, network pharmacology, and in vivo experiments.

International ophthalmology
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 

Machine learning approached a 14-item shortened version of the Positive And Negative Sleep Appraisal Measure (PANSAM-14).

Sleep & breathing = Schlaf & Atmung
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 

Building and Validating an Explainable Machine Learning Model for Predicting Health-Promoting Behaviors in Older Adults: A Multicenter Study.

Prevention science : the official journal of the Society for Prevention Research
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