Artificial Intelligence Medical Compendium

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

Showing 18,811 to 18,820 of 214,544 articles

Revisiting the Molecular Roadmap for Sugar Crops: Genome Reading, Trait Writing and Variety Redesigning.

Plant biotechnology journal
Sugar crops, including but not limited to sugarcane, sugar beet, sweet sorghum and stevia, are major sources of sugar production in the world. However, conventional breeding approaches, limited by long breeding cycles, low efficiency and restricted c... read more 

Adverse Pregnancy Outcomes in Women With Immune Abnormalities: Machine Learning Model Development and Validation Using First-Trimester Sonographic Features.

JMIR medical informatics
BACKGROUND: The maintenance and progression of pregnancy rely on immune homeostasis at the maternal-fetal interface. However, pregnancy complicated by autoimmune abnormalities can disrupt this balance and significantly increase the risk of adverse pr... read more 

Clinical Implementation of AI for Pulmonary Embolism Detection in over 30,000 CT Pulmonary Angiography Examinations.

Radiology. Artificial intelligence
Purpose To quantify postimplementation concordance between a U.S. Food and Drug Administration-cleared artificial intelligence (AI) tool and AI-informed radiologists for pulmonary embolism (PE) detection on CT pulmonary angiography (CTPA), with real-... read more 

Artificial Intelligence for Digital Breast Tomosynthesis Screening with and without prior Examinations in BreastScreen Norway.

Radiology. Artificial intelligence
Purpose To evaluate the performance of an artificial intelligence (AI) model for digital breast tomosynthesis (DBT) with and without prior screening examinations, using independent double reading by radiologists as the reference standard. Materials a... read more 

A Book Review of 'Handbook of Children and Screens: Digital Media, Development, and Well-Being From Birth Through Adolescence' Edited by Dimitri A. Christakis and Laurent Hale.

Clinical child psychology and psychiatry
Dimitri A. Christakis and Lauren Hale's Handbook of Children and Screens (2025) examines the complex relationship between digital media use and children's cognitive, physical, mental, and social development. Drawing on interdisciplinary research from... read more 

ECG Signatures and Long-Term Ischemic Stroke Risk: A Deep Learning Analysis of 200,000 Patients.

Journal of the American College of Cardiology
BACKGROUND: Scalable risk stratification for ischemic stroke remains an unmet need. OBJECTIVES: In this study, the authors sought to assess whether deep learning of 12-lead electrocardiograms (ECGs) can estimate longitudinal ischemic stroke risk and ... read more 

ECG-Based Stroke Risk Prediction: Considerations for Clinical Application.

Journal of the American College of Cardiology
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From EM to AI: Multiscale imaging of the secretory pathway with insights from plant cells.

Journal of microscopy
The secretory pathway is a central and evolutionarily conserved feature of eukaryotic cells, responsible for protein and lipid trafficking, membrane biogenesis, signalling, and cellular homeostasis. Its complexity, dynamic behaviour, and nanoscale or... read more 

A systematic review of machine learning techniques for real-time speech and noise classification in hearing aids.

Disability and rehabilitation. Assistive technology
Introduction: Hearing loss significantly impairs speech comprehension in noisy environments, creating major communication challenges for individuals with hearing impairment. Modern hearing aids increasingly rely on intelligent systems capable of real... read more 

Carbonic anhydrase under the computational lens: a review of advances, challenges, and future directions.

Journal of molecular modeling
CONTEXT: Carbonic anhydrases (CAs) are zinc metalloenzymes responsible for the catalysis of the reversible hydration of carbon dioxide and play pivotal roles in many physiological and pathological processes. The complexity of CA isoforms with distinc... read more