Artificial Intelligence Medical Compendium

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

Showing 46,031 to 46,040 of 224,055 articles

Image quality restoration in 15-s breath-hold PET using a diffusion-based neural network.

Medical physics
BACKGROUND: Breath-hold PET imaging helps reduce respiratory motion artifacts in thoracoabdominal scans. However, its clinical application is limited by the short acquisition time, which results in significant image noise and poor lesion detectabilit... read more 

ZENIA: Development of an AI-driven nutrition app to support immune health: An EAACI task force report.

Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology
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Simultaneous synthesis of perfusion and ventilation images from CT using a dual-decoder residual attention network for lung disease diagnosis.

Journal of applied clinical medical physics
BACKGROUND: Deep learning algorithms can synthesize pulmonary functional images from CT images. However, previous studies have only been able to predict either ventilation or perfusion from CT, limiting the holistic evaluation of lung function. PURPO... read more 

Simulation-free spine palliative radiotherapy enabled by AI-adapted diagnostic CT.

Medical physics
BACKGROUND: Radiotherapy planning traditionally requires a dedicated simulation CT (sCT), which can introduce delays in initiating treatment. This is particularly impactful in spinal palliative care, where timely treatment is often important for symp... read more 

Quantitative Dual-Energy CT in Abdominal Imaging: Technical Considerations and Emerging Clinical Applications.

Radiographics : a review publication of the Radiological Society of North America, Inc
Dual-energy CT (DECT) has increased the diagnostic capabilities of CT in abdominal imaging, overcoming many of the limitations of conventional CT by leveraging information about radiation beam energy and material composition to generate multiple data... read more 

Conventional and Emerging MRI Biomarkers of Multiple Sclerosis.

Radiographics : a review publication of the Radiological Society of North America, Inc
MRI plays a central role in the diagnosis and management of multiple sclerosis (MS), and the 2017 revised McDonald criteria have improved the sensitivity and accuracy for early diagnosis. While these criteria have been validated and improve patient o... read more 

Quantitative Histological Insights Into Sudden Arrhythmic Death Syndrome: Findings From a Forensic Autopsy Cohort.

APMIS : acta pathologica, microbiologica, et immunologica Scandinavica
Sudden arrhythmic death syndrome (SADS) is a major cause of sudden cardiac death in young individuals, characterized by structurally normal hearts and negative toxicology. Although guidelines recommend family screening, phenotyping remains challengin... read more 

Evaluating Open-Source Solutions for Computerized Inference of Infant Facial Affect.

Developmental science
Infant affect is often expressed through facial expressions, making this modality a key source of insight into the child's well-being and social functioning. Computational inference of infant affect could critically assist both researchers and clinic... read more