Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 230,507 articles

Traveling brain waves support flexible storage of human working memory

bioRxiv
Human working memory enables us to temporarily store and flexibly utilize information. It is thought that there are two distinct neural mechanisms by which information is retained in working memory: persistent firing of working memory-relevant neuron... read more 

Enhancing the Role of Digital Health Navigators With Lived Experience: AI-Assisted Conavigation for Safety, Support, and Engagement.

Psychiatric services (Washington, D.C.)
As artificial intelligence (AI) expands across mental health services, questions arise about whether it can replace digital health navigators (DHNs), including those with lived experience. The DHN role generally resists automation because lived exper... read more 

AI Model Predicts Cancer Development, Diagnoses Tumors.

Cancer discovery
The new AI model Oncoformer can predict whether patients are likely to develop cancer within the next year, diagnose existing tumors, forecast responses to treatments, and stage tumors. The model makes conclusions and predictions from electronic heal... read more 

Epitaxial Growth of Metal-Organic Framework Thin-Film Scintillators for Temperature-Adaptive, High-Resolution X-Ray Imaging.

Advanced materials (Deerfield Beach, Fla.)
Solution-processed scintillators are attractive for large-area X-ray imaging. However, their performance in thin-film architectures is constrained by low effective density, severe light scattering, and insufficient thermal stability. Here, we report ... read more 

Glabridin and Glabrene from Glycyrrhiza glabra L. as Natural Co-operative Modulators of the Human Serotonin Transporter: Evidence from Docking, Molecular Simulations and Machine-Learning QSAR Models.

Neurochemistry international
Serotonin transporter (SERT), encoded by SLC6A4, is a key regulator of serotonergic neurotransmission and a primary target for selective serotonin reuptake inhibitors (SSRIs). Dysregulation of SERT is implicated in neuropsychiatric and neurodevelopme... read more 

Single-component imaging and ultrasound-based tools for the assessment of fracture risk.

Nature reviews. Rheumatology
Emerging imaging and computational technologies are reshaping how osteoporosis and low bone mass are assessed. Dual-energy X-ray absorptiometry (DXA) is key for the operational definition of osteoporosis, but advances in single-component tools such a... read more 

Attentional control predicts procrastination through cognitive reappraisal: Behavioral mediation and connectome-based predictive modeling evidences.

Biological psychology
Theories and empirical studies have consistently shown a negative association between attentional control and procrastination. However, the cognitive and neural basis underlying this association remain unclear. To address these questions, we integrat... read more 

Deep Learning-Based Detection of Radiolucent Jaw Lesions on Panoramic Radiographs: A Comparative Study.

Journal of stomatology, oral and maxillofacial surgery
This retrospective study aimed to compare the performance of different deep learning-based object detection models for detecting radiolucent jaw lesions on panoramic radiographs. A total of 600 panoramic radiographs showing radiolucent jaw lesions we... read more 

Global Research Trends in Surgical Management of Facial Paralysis: A Bibliometric Analysis.

Facial plastic surgery : FPS
INTRODUCTION: The surgical treatment strategies of facial paralysis are diversified, and the existing research lacks systematic integration of global research trends and core hotspots. Objectives & Hypotheses: The purpose of this study is to sort out... read more 

Deep Learning-Enabled Automated B-mode Segmentation for Regional Cerebral Perfusion Assessment in Neonates Using Ultrafast Power Doppler.

Ultrasound in medicine & biology
Cerebral perfusion disturbances contribute to neonatal brain injury, and ultrafast power Doppler can quantify regional cerebral blood volume but relies on manual segmentation that limits clinical use. We developed and validated a U-Net model for auto... read more