Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 228,014 articles

Deep learning models for osteonecrosis of the femoral head on MRI: a systematic review and meta-analysis of diagnostic performance, staging accuracy, and external generalizability.

Skeletal radiology
OBJECTIVES: To evaluate the diagnostic and prognostic performance of deep learning models for osteonecrosis of the femoral head (ONFH) on MRI, including detection, staging, and collapse prediction. METHODS: This prospectively registered search was co... read more 

The influence of kinematic parameters of side-foot kick on classification of ball direction in football penalty kicks using machine learning and SHAP analysis techniques.

Sports biomechanics
This study investigated how kinematic features could be used to predict soccer penalty kicks, using machine learning to improve goalkeeper anticipation. Fifteen right-foot-dominant male players participated in standardised assessments, with the goal ... read more 

Preoperative Prediction of Ductal Carcinoma In Situ Upstaging Using Machine Learning-Based Peritumoral Breast MRI Radiomics.

Journal of magnetic resonance imaging : JMRI
BACKGROUND: A subset of biopsy-confirmed ductal carcinoma in situ (DCIS) cases can be upstaged to invasive breast cancer at surgery. Preoperative identification of upstaging risk is essential for treatment planning. PURPOSE: To develop clinical and b... read more 

A review of FDG-PET biomarker analysis methods in Parkinson's disease.

Journal of Parkinson's disease
Despite well-established clinical diagnostic criteria for Parkinson's disease (PD), challenges remain in early-stage diagnosis, differentiating atypical parkinsonism disorders, and understanding of underlying disease mechanisms. Neuroimaging, particu... read more 

Recent Advances in the Application and Development of Coordinated Radiopharmaceuticals.

Handbook of experimental pharmacology
The 177Lu complexes, 177Lu-DOTATATE and 177Lu-PSMA-617, have recently been approved by the FDA to treat neuroendocrine tumors and metastatic prostate cancer, respectively. In this chapter, we systematically introduce the classification of radioactive... read more 

Deep learning models for osteonecrosis of the femoral head on MRI: a systematic review and meta-analysis of diagnostic performance, staging accuracy, and external generalizability.

Skeletal radiology
OBJECTIVES: To evaluate the diagnostic and prognostic performance of deep learning models for osteonecrosis of the femoral head (ONFH) on MRI, including detection, staging, and collapse prediction. METHODS: This prospectively registered search was co... read more 

Deep learning models for osteonecrosis of the femoral head on MRI: a systematic review and meta-analysis of diagnostic performance, staging accuracy, and external generalizability.

Skeletal radiology
OBJECTIVES: To evaluate the diagnostic and prognostic performance of deep learning models for osteonecrosis of the femoral head (ONFH) on MRI, including detection, staging, and collapse prediction. METHODS: This prospectively registered search was co... read more 

Quality assessment of radiographs through AI-driven feedback: A randomized comparative study on radiographer response in lateral knee radiographs.

Radiography (London, England : 1995)
INTRODUCTION: High-quality radiographic positioning is essential for accurate diagnosis in knee imaging. Although artificial intelligence (AI) can assess image quality with high accuracy, its influence on radiographers' clinical decision-making remai... read more 

Determining Acute-Phase Biomarkers for Mild Traumatic Brain Injury Through Exploratory Data Analysis: A Preliminary Report.

Molecular neurobiology
The purpose of this study is to identify acute-phase serum biomarkers for mild traumatic brain injury (mTBI) within 24 h of trauma and evaluate their discriminatory value versus orthopedic trauma and healthy status using a leakage-safe machine-learni... read more 

HPRT1 drives mitochondrial metabolic reprogramming and immunosuppressive microenvironment in oral squamous cell carcinoma.

Apoptosis : an international journal on programmed cell death
Mitochondrial metabolic reprogramming is a hallmark of tumor progression, yet its gene-level determinants in oral squamous cell carcinoma (OSCC) remain poorly defined. Here, we integrated multi-omics analyses, machine learning, and experimental valid... read more