Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 69,321 to 69,330 of 233,923 articles
Automated quality assurance of imaging dose and protocol adherence in computed tomography radiotherapy planning using TotalSegmentator-based segmentation.
Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]
Nov 28, 2025
PURPOSE: Computed tomography (CT) scans are vital for radiotherapy planning, providing essential data for dose calculations. This study retrospectively evaluated imaging doses, scan lengths, and protocol adherence to support imaging optimization and ... read more
Reply to the Letter to the Editor: Rethinking the clinical utility of machine learning for CTEPH severity.
European radiology
Nov 28, 2025
Artificial Intelligence in Pediatric Surgery: From Diagnostics and Preoperative Planning to Risk Stratification: A Comprehensive Review of Current Applications.
European journal of pediatric surgery : official journal of Austrian Association of Pediatric Surgery ... [et al] = Zeitschrift fur Kinderchirurgie
Nov 28, 2025
OBJECTIVE: Artificial intelligence (AI) is increasingly explored in pediatric surgical care, yet its translation into diagnostics and preoperative planning lags behind adult surgery. Unlike prior reviews, this study provides a comprehensive synthesis... read more
Persistence of Proliferating Neural Progenitors in the Adult Human Hippocampus: New Evidence from snRNA-seq and Machine Learning Integration.
Neuroscience bulletin
Nov 28, 2025
Electromyography Signal Classification With Artificial Intelligence for Detection of Neuromuscular Disorders Using a Large Clinically-Acquired Database.
Muscle & nerve
Nov 28, 2025
INTRODUCTION/AIMS: Artificial intelligence (AI) has shown potential in analyzing electromyography (EMG) signals, but clinical applicability remains limited by studies based on small, curated datasets, and variable accuracy. This study evaluated AI pe... read more
Quantitative descriptive analysis and electronic nose combined with machine learning methods to quickly predict consumer preference for Cheddar cheese.
Journal of dairy science
Nov 28, 2025
Consumer preference for Cheddar cheese is influenced by its aroma characteristics, with aroma serving as a key sensory attribute determining consumer acceptance. This study innovatively integrates quantitative descriptive analysis (QDA) with electron... read more
Mapping Knowledge Landscapes and Emerging Trends in Contrast-Enhanced Ultrasound for Breast Cancer: A Bibliometric and Visualization Analysis.
Ultrasound in medicine & biology
Nov 28, 2025
Breast cancer remains a leading threat to women's health worldwide and reducing mortality hinges on early detection. Contrast-enhanced ultrasound (CEUS), an emerging technique for blood-pool imaging, enables assessment of microvascular perfusion in b... read more
KLRB1 and IL12RB1 are pretherapeutic predictors of time to relapse in patients with psoriasis treated with IL-17 blockade.
Journal of the American Academy of Dermatology
Nov 28, 2025
BACKGROUND: Relapse of psoriasis after the cessation of treatment remains an unresolved clinical challenge. OBJECTIVE: To identify predictors of risk of relapse in patients with psoriasis treated by interleukin (IL) 17 blockade (ixekizumab) and to in... read more
Advancing carbon-neutral wastewater treatment: Artificial intelligence-driven strategies for emission mitigation and process optimization.
Environmental research
Nov 28, 2025
With the urgent global demand for greenhouse gas (GHG) emission mitigation, the wastewater treatment sector, which is responsible for 1-2 % of global carbon emissions, has become a critical focus for innovation. However, reducing GHG emission involve... read more
Viral traits from deep mutational scanning and socio-demographic context predict SARS-CoV-2 lineage fitness across diverse countries.
International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases
Nov 28, 2025
OBJECTIVES: To assess the joint effects of SARS-CoV-2 viral traits (ACE2 binding, immune escape, and cell entry) and socio-demographic context on viral lineage fitness across countries and to develop predictive models of lineage fitness using these f... read more
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- Machine Learning 32655
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- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1395
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- IEEE transactions on neural networks and learning systems 927
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