Artificial Intelligence Medical Compendium

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

Showing 54,911 to 54,920 of 226,183 articles

The Stability Mechanism of Borophene Edges.

Inorganic chemistry
The edges of two-dimensional (2D) materials are pivotal to both their intrinsic properties and their growth mechanisms. As one of the most isomer-abundant 2D materials, borophene's edges remain underexplored. Herein, we systematically investigate the... read more 

Ethical and Bioethical Issues in Physical Therapy: A Systematic Scoping Review.

Physical therapy
IMPORTANCE: Ethical and bioethical issues are central to the identity and practice of physical therapy. A comprehensive overview of how these issues are addressed in the literature is essential for advancing education, clinical practice, and professi... read more 

Forecasting Local Surges in COVID-19 Hospitalizations through Adaptive Decision Tree Classifiers.

Medical decision making : an international journal of the Society for Medical Decision Making
IntroductionDuring the COVID-19 pandemic, many communities across the United States experienced surges in hospitalizations, which strained the local hospital capacity. Some risk metrics, such as the Center for Disease Control and Prevention's (CDC's)... read more 

Hematologic markers and machine learning in predicting placenta accreta: A case-control study.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
OBJECTIVE: This study aims to enhance antenatal detection of placenta accreta spectrum (PAS) and predict severe hemorrhage at delivery using machine learning by evaluating the association between antenatal hematologic index trends across trimesters, ... read more 

Legume Rotations and Conservation Tillage in Synergy: Yield Gains, Carbon Sequestration, and Climate Resilience.

Plant, cell & environment
Leguminous crop rotation (LC) and conservation tillage (CT) are nature-based solutions to mitigate climate change. Previous studies have shown significant variations in crop productivity and soil organic carbon (SOC) under LC and CT, largely influenc... read more 

Identification of dyes on fabric exposed to lake and ocean water using near-infrared excitation Raman spectroscopy.

Analytical methods : advancing methods and applications
Forensic analysis of dyes present on fabric can provide a wealth of information about the relationship between the suspect and a crime scene. Such analysis requires analytical approaches that provide confirmatory information about the chemical struct... read more 

Exploring Real-Time Tracking of Vocal Fold Polyps in Video-Stroboscopy Using Deep Learning.

The Laryngoscope
OBJECTIVE: To develop and evaluate a deep learning object detection system for identifying vocal fold polyps in stroboscopic video frames using You Only Look Once (YOLO), and to assess the added benefit of temporal tracking on detection performance. ... read more 

SH3BP5L triggers the RAB11A-regulated integrin recycling network implicated in breast cancer metastasis.

The Journal of clinical investigation
Metastatic progression in aggressive breast cancer (BC) depends on a tightly controlled vesicular recycling network regulated by RAB11, a small guanosine triphosphate enzyme (GTPase). In a cohort of more than 1,000 patients with BC, we identified SH3... read more 

Fibroblast Transcriptomics in Molecular Diagnostics of a Comprehensive Dystonia Cohort.

Annals of neurology
OBJECTIVE: Genomic sequencing leaves >50% of dystonia-affected individuals without a diagnosis. Where DNA-oriented approaches remain insufficient, integrating multiomics is essential to advance genome interpretation. Herein, we incorporated RNA seque... read more 

Risk Factors for Postoperative Delirium in Nonintensive Care Unit Patients: Machine Learning Approach.

Computers, informatics, nursing : CIN
Postoperative delirium is a frequent and serious complication lacking effective prediction tools for general ward patients. This study aimed to identify postoperative delirium risk factors in non-ICU patients using machine learning. A retrospective a... read more