Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 171,430 articles

Integrated single-cell and clinical transcriptomic analysis identifies blunted glycolytic activation as a hallmark of maladaptive repair in renal ischemia-reperfusion.

Renal failure Aug 28, 2025
Acute kidney injury (AKI) is a common and increases risk of chronic kidney disease (CKD). While mitochondrial dysfunction drives maladaptive repair, the role of glycolysis in renal recovery remains unclear. Here, we integrated single-cell transcripto... read more 
Humans Machine Learning Kidney Transplantation Acute Kidney Injury Gene Expression Profiling Female Mice Transcriptome Animals Glycolysis Single-Cell Analysis Male Kidney Renal Insufficiency, Chronic Disease Models, Animal Reperfusion Injury

Parallel trade-offs in human cognition and neural networks: The dynamic interplay between in-context and in-weight learning.

Proceedings of the National Academy of Sciences of the United States of America Aug 28, 2025
Human learning embodies a striking duality: Sometimes, we can rapidly infer and compose logical rules, benefiting from structured curricula (e.g., in formal education), while other times, we rely on an incremental approach or trial-and-error, learnin... read more 
Memory, Short-Term Neural Networks, Computer Nerve Net Humans Learning Cognition

Echoes in AI: Quantifying lack of plot diversity in LLM outputs.

Proceedings of the National Academy of Sciences of the United States of America Aug 28, 2025
With rapid advances in large language models (LLMs), there has been an increasing application of LLMs in creative content ideation and generation. A critical question emerges: can current LLMs provide ideas that are diverse enough to truly bolster co... read more 
Artificial Intelligence Humans Language Creativity

From correlation to causation: unraveling the role of long non-coding RNAs in COVID-19 pathogenesis.

Virology journal Aug 28, 2025
Heydari et al. present an intriguing study examining the role of three long non-coding RNAs (lncRNAs)-H19, taurine upregulated gene 1 (TUG1), and colorectal neoplasia differentially expressed (CRNDE)-in the context of Coronavirus Disease 2019 (COVID-... read more 
Humans SARS-CoV-2 COVID-19 RNA, Long Noncoding Biomarkers

Nasopharyngeal cancer adaptive radiotherapy with CBCT-derived synthetic CT: deep learning-based auto-segmentation precision and dose calculation consistency on a C-Arm linac.

Radiation oncology (London, England) Aug 28, 2025
BACKGROUND: To evaluate the precision of automated segmentation facilitated by deep learning (DL) and dose calculation in adaptive radiotherapy (ART) for nasopharyngeal cancer (NPC), leveraging synthetic CT (sCT) images derived from cone-beam CT (CBC... read more 
Particle Accelerators Nasopharyngeal Neoplasms Radiotherapy, Image-Guided Middle Aged Deep Learning Cone-Beam Computed Tomography Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Female Radiotherapy, Intensity-Modulated Adult Humans Male Retrospective Studies

Machine learning in predicting preoperative intra-aortic balloon pump use in patients undergoing coronary artery bypass grafting.

Journal of cardiothoracic surgery Aug 28, 2025
BACKGROUND: Intra-aortic balloon pump (IABP) implantation in the perioperative period of cardiac surgery is an auxiliary treatment for cardiogenic shock. However, there is a lack of effective prediction models for preoperative IABP implantation. read more 
Humans Machine Learning Risk Factors Aged Male Algorithms Retrospective Studies Female Preoperative Care Shock, Cardiogenic Intra-Aortic Balloon Pumping Coronary Artery Disease Preoperative Period Coronary Artery Bypass Middle Aged ROC Curve

Enhancing real-time heading estimation for pedestrian navigation via deep learning and smartphone embedded sensors.

Scientific reports Aug 28, 2025
The accurate smartphone-based pedestrian navigation significantly depends on the precise heading estimation. However, heading estimation is still a challenging problem in most pedestrian navigation applications because of the bias of low-cost smartph... read more 
Smartphone Walking Pedestrians Humans Neural Networks, Computer Deep Learning

Explainable deep learning algorithm for distinguishing IVIG-Resistant Kawasaki disease in Shandong peninsula, China.

BMC pediatrics Aug 28, 2025
BACKGROUND: Intravenous immunoglobulin (IVIG) resistance of Kawasaki disease (KD) patients have a heightened risk of coronary artery lesions. We aimed to explore the predictive factors of IVIG resistance of KD from Shandong Peninsula in China, and es... read more 
Drug Resistance Child, Preschool Retrospective Studies Infant Humans Female Mucocutaneous Lymph Node Syndrome Deep Learning Algorithms Immunoglobulins, Intravenous Male China

Generalizing machine learning models from clinical free text.

Scientific reports Aug 28, 2025
To assess strategies for enhancing the generalizability of healthcare artificial intelligence models, we analyzed the impact of preprocessing approaches applied to medical free text, compared single- versus multiple-institution data models, and evalu... read more 
Neural Networks, Computer Machine Learning Current Procedural Terminology Humans

Evaluating ChatGPT's Utility in Biologic Therapy for Systemic Lupus Erythematosus: Comparative Study of ChatGPT and Google Web Search.

JMIR formative research Aug 28, 2025
BACKGROUND: Systemic lupus erythematosus (SLE) is a life-threatening, multisystem autoimmune disease. Biologic therapy is a promising treatment for SLE. However, public understanding of this therapy is still insufficient, and the quality of related i... read more 
Generative Artificial Intelligence Humans Biological Therapy Lupus Erythematosus, Systemic Search Engine Artificial Intelligence Internet
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