Artificial Intelligence Medical Compendium

BACKGROUND: Detection of clinically significant prostate cancer (csPCa) within PI-RADS category 3 lesions remains a major diagnostic challenge. PURPOSE: To develop and validate a biparametric MRI (bpMRI)-based habitat analysis model integrating deep ... read more 

BACKGROUND: Oral health is vital for children's overall well-being. Parents play a critical role in shaping children's oral health through preventive care behaviors and treatment adherence. Although prior studies have focused on parents as reliable p... read more 

BACKGROUND: Artificial intelligence (AI) has great potential for surgical skill training and assessment. However, the heterogeneity of AI models for suturing and knot-tying skills assessment has limited their transformation to educational practice. O... read more 

OBJECTIVES: This study aimed to explore pediatric oncology nurses' perspectives on the integration of artificial intelligence (AI) into pediatric oncology care, focusing on its potential advantages, implementation challenges, and ethical consideratio... read more 

OBJECTIVE: To develop explainable machine learning models for predicting the risk of early postoperative recurrence and distant metastasis in patients with early-onset colorectal cancer. METHODS: Patients with early-onset colorectal cancer who underw... read more 

BACKGROUND: As rectal cancer management evolves, the multidisciplinary committee becomes increasingly important in integrating expertise to optimize patient outcomes. Current artificial intelligence large language models have demonstrated preliminary... read more 

OBJECTIVE: Perfluorooctanoic Acid (PFOA), widely recognized as an enduring environmental pollutant, is associated with immune system disruption and potential cancer-causing effects. Epidemiological findings show that serum power is significantly asso... read more 

BACKGROUND: Manipulation under anesthesia (MUA) is a commonly performed procedure to address postoperative stiffness after total knee arthroplasty (TKA), yet optimal timing, motion thresholds, and outcome expectations remain poorly defined due to lim... read more 

Patients with atrial fibrillation (AF) following transcatheter aortic valve replacement (TAVR) remain at risk of ischemic stroke (IS) and bleeding. However, traditional risk scores provide modest predictions of IS and bleeding in these patients. We a... read more 

We evaluate the added value of integrating validated Low-Cost Sensor (LCS) data into a Machine Learning (ML) framework for providing surface PM2.5 estimates over Central Europe at 1 km spatial resolution. The synergistic ML-based S-MESH (Satellite an... read more