Artificial Intelligence Medical Compendium

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

Showing 29,401 to 29,410 of 219,931 articles

The future of follow-up: technology-enabled medical and developmental follow-up care for NICU graduates.

Journal of perinatology : official journal of the California Perinatal Association
Premature infants are at higher risk of long-term clinical and developmental sequelae compared to their term counterparts. Specialized, multidisciplinary follow-up care for patients who are discharged from the neonatal intensive care unit is essentia... read more 

Accuracy in spinal level determination, including transitional vertebrae: an ASReview supported systematic review.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
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Particle peak velocity prediction based on risk-oriented hybrid ensemble learning.

Scientific reports
In blasting engineering, accurate prediction of peak particle velocity (PPV) is essential to ensuring the safety of surrounding structures. In machine-learning-based PPV prediction, symmetric loss functions (e.g. MSE) are commonly adopted as optimisa... read more 

Interpretable machine learning for river salinity dynamics in arid basins.

Scientific reports
Managing salinity in arid rivers is impeded by sparse monitoring, relying on low-frequency grab samples that miss hydrological event dynamics. Here, interpretable machine learning is applied to a 50-year monthly archive (1968-2018; Discharge, major i... read more 

Enhanced YOLOv8 for efficient road damage detection with spatial-channel reconstruction and multi-scale attention.

Scientific reports
Accurate and efficient detection of road damage is essential for maintaining road safety and supporting intelligent transportation systems. While recent approaches leverage deep learning-based object detection frameworks, they often struggle with hig... read more 

Large language model-assisted radiology reporting in a single-radiologist implementation: a retrospective cohort study interpreted through a UTAUT lens.

Abdominal radiology (New York)
BACKGROUND: Radiologist burnout affects approximately 40% of US radiologists. Large language models (LLMs) may improve workflow efficiency, but real-world implementation data are limited. OBJECTIVE: To evaluate the impact of an LLM-assisted workflow ... read more 

Cerebral Vasospasm Detection and Delayed Cerebral Ischemia Prediction after Aneurysmal Subarachnoid Hemorrhage: A Scoping Review.

Neurocritical care
BACKGROUND/OBJECTIVE: Aneurysmal subarachnoid hemorrhage (aSAH) is complicated by angiographic cerebral vasospasm and delayed cerebral ischemia (DCI), distinct entities with different reference standards and surveillance targets. We mapped the eviden... read more 

Three-dimensional visualization of arrhythmogenic substrate in mouse hearts using panoramic optical mapping and micro-computed tomography.

Nature cardiovascular research
Electrical and structural remodeling of the heart can contribute to the development of cardiac arrhythmias. Ex vivo optical mapping has been used to visualize cardiac electrophysiological properties, activation and phase maps to further elucidate the... read more