Artificial Intelligence Medical Compendium

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

Showing 72,061 to 72,070 of 235,116 articles

How are school psychologists using artificial intelligence in 2024? A descriptive study.

School psychology (Washington, D.C.)
Artificial intelligence (AI) is becoming increasingly integrated into professional settings, yet little is known about its use in school psychology. As AI technologies continue to evolve, understanding how school psychologists are incorporating them ... read more 

Comparison of machine learning and deep learning models in manual strength prediction using anthropometric variables.

International journal of occupational safety and ergonomics : JOSE
Objective. This study evaluated the predictive performance of machine learning and deep learning models in estimating manual strength in men and women using anthropometric variables. Methods. Anthropometric and strength data were collected from 382 p... read more 

Democratizing AI in Healthcare with Open Medical Inference (OMI): Protocols, Data Exchange, and AI Integration.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin
The integration of artificial intelligence (AI) into healthcare is transforming clinical decision-making, patient outcomes, and workflows. AI inference, applying trained models to new data, is central to this evolution, with cloud-based infrastructur... read more 

Development and validation of a prognostic model and risk calculator for the estimation of bipolar-spectrum disorder risk in hospitalised adolescents with non-psychotic/non-bipolar mental disorders.

Molecular psychiatry
We aimed to develop and validate a risk estimation model for developing bipolar-spectrum disorders (BSD) in psychiatrically hospitalized adolescents based on clinical characteristics, including putatively prodromal symptoms. Adolescent inpatients (ag... read more 

Evaluation of Context-Aware Prompting Techniques for Classification of Tumor Response Categories in Radiology Reports Using Large Language Model.

Journal of imaging informatics in medicine
Radiology reports are essential for medical decision-making, providing crucial data for diagnosing diseases, devising treatment plans, and monitoring disease progression. While large language models (LLMs) have shown promise in processing free-text r... read more 

Optimized T1-weighted MP-RAGE MRI of the brain at 0.55 T using variable flip angle coherent gradient echo imaging and deep learning reconstruction.

Magnetic resonance in medicine
PURPOSE: To propose and evaluate an optimized MP-RAGE protocol for rapid T1-weighted imaging of the brain at 0.55 T. METHODS: Incoherent and coherent steady state free precession (SSFP) RAGE kernels with constant and variable excitation angles were i... read more 

Artificial Intelligence Deep Learning Ultrasound Discrimination of Cosmetic Fillers: A Multicenter Study.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
OBJECTIVES: Despite the growing use of artificial intelligence (AI) in medicine, imaging, and dermatology, to date, there is no information on the use of AI for discriminating cosmetic fillers on ultrasound (US). METHODS: An international collaborati... read more 

Development of a High-Performance Ultrasound Prediction Model for the Diagnosis of Endometrial Cancer: An Interpretable XGBoost Algorithm Utilizing SHAP Analysis.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
OBJECTIVES: To develop and validate an ultrasonography-based machine learning (ML) model for predicting malignant endometrial and cavitary lesions. METHODS: This retrospective study was conducted on patients with pathologically confirmed results foll... read more 

MicroRNA biomarkers in psoriasis.

Clinica chimica acta; international journal of clinical chemistry
Psoriasis, a T-helper mediated chronic inflammatory autoimmune skin disease, has significant socioeconomic burden worldwide. Unfortunately, its etiology and underlying pathophysiology remains unclear. Although several biologics have substantially imp... read more 

Integrated chemometric and machine learning approaches to study the properties of pure and adulterated edible oils.

Talanta
The adulteration of pure edible oils, particularly with cost-effective oils like palm oil, has become a significant concern due to its detrimental impact on oil quality and human health. This study examines how palm oil adulteration affects the diele... read more