Artificial Intelligence Medical Compendium

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

Showing 33,591 to 33,600 of 221,422 articles

Comparison of adhesion scoring performance between humans and large language models in experimental rat laparotomy.

Laboratory animals
This study compared the macroscopic adhesion scoring performance of large language models (LLMs: ChatGPT-o3, ChatGPT-5, Gemini-2.5 Pro) with that of novice veterinary surgeons, using expert consensus as the reference. Eighty standardized postoperativ... read more 

Predicting Melanoma Impact on the Swedish Healthcare System from the Adult Population Using Machine Learning on Registry Data.

Acta dermato-venereologica
Melanoma incidence has increased in Western countries over the past 50 years, leading to significant healthcare costs. In Sweden, comprehensive healthcare registries enable large-scale prediction studies using machine learning. Several machine learni... read more 

Artificial Intelligence in Medical Education: Curriculum Design, Assessment Models, and Educational Infrastructure Across Undergraduate and Residency Training - A Narrative Review.

Turk Kardiyoloji Dernegi arsivi : Turk Kardiyoloji Derneginin yayin organidir
Artificial intelligence (AI) is rapidly becoming an integral part of everyday clinical practice, including cardiology and cardiovascular surgery. As AI increasingly influences diagnostic and therapeutic decisions, physicians are expected to interact ... read more 

Digital SERS Nanoprobe Immunoassay With Single-Particle Sensing Resolution for Detection of Pancreatic Cancer Biomarkers From Clinical Blood Samples.

Small methods
Surface-enhanced Raman scattering (SERS) nanoprobe-based immunoassay is an emerging liquid biopsy modality for the detection of blood biomarkers. However, quantitative detection of blood biomarkers using SERS nanoprobe immunoassays remains challengin... read more 

GatorST: A Versatile Contrastive Meta-Learning Framework for Spatial Transcriptomic Data Analysis.

Small methods
Recent advances in spatial transcriptomics (ST) have revolutionized the understanding of cellular functions by providing gene expression profiles with rich spatial context. Effectively learning spatial representations is essential for downstream anal... read more 

EXPRESS: Static and dynamic perspective on brain activity and functional connectivity alternations in the comorbidity of chronic pain and depression: An fMRI study in rats.

Molecular pain
BACKGROUND: Clinically, chronic pain and depression often coexist in multiple diseases and reciprocally reinforce each other, which greatly escalates the difficulty of treatment. The alteration in neural networks underlying the chronic pain/depressio... read more 

AI-Derived LA Volume Index, LA/RA and LA/LV Volume Ratios From Coronary Artery Calcium Scans Predict Long-Term Atrial Fibrillation and Stroke.

Stroke
BACKGROUND: The AI-CVD initiative aims to extract actionable insights from coronary artery calcium (CAC) scans beyond the traditional CAC score. Although AI-derived cardiac chamber volumes predict atrial fibrillation (AF) and stroke, the long-term pr... read more 

Designing aperiodic metamaterials using mechanical neural networks.

Materials horizons
Designing aperiodic metamaterials that accurately achieve multiple behaviours is often not possible due to the enormity of the complex factors that need to be considered. Here we introduce a design approach that uses mechanical neural networks (MNNs)... read more 

Association Between Breast Arterial Calcifications and Increased Cardiovascular Risk: A Canadian Perspective on Clinical Implications and the Potential Role in Preventive Care.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
Breast arterial calcifications (BAC) are associated with increased cardiovascular risk and have been correlated with other methods of cardiovascular risk stratification. BAC are present in 12% to 43% of patients who undergo screening mammography, wit... read more