Artificial Intelligence Medical Compendium

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

Showing 68,791 to 68,800 of 233,540 articles

Development and Validation of Time-to-Event Machine Learning Models for Predicting Disease-Free Survival in Patients with Locally Advanced Colorectal Cancer: A Multicenter Cohort Study.

Annals of surgical oncology
BACKGROUND: The postoperative prognosis of locally advanced colorectal cancer (LACRC) exhibits significant heterogeneity. However, conventional models for predicting disease-free survival (DFS) often lack the necessary precision. Therefore, we aim to... read more 

A deep learning model to reduce agent dose for contrast-enhanced MRI of the cerebellopontine angle cistern.

European radiology
OBJECTIVES: To evaluate a deep learning (DL) model for reducing the agent dose of contrast-enhanced T1-weighted MRI (T1ce) of the cerebellopontine angle (CPA) cistern. MATERIALS AND METHODS: In this multicenter retrospective study, T1 and T1ce of ves... read more 

Accuracy of Cephalometric Analysis in Cleft Lip and Palate: Comparison of Manual, Artificial Intelligence-Based, and Examiner-Corrected Artificial Intelligence Approaches.

The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association
ObjectiveTo evaluate the accuracy of the artificial intelligence (AI)-powered orthodontic imaging system OrthoDx™ for cephalometric analysis in patients with cleft lip and/or palate (CLP), compared with manual semi-automated measurements obtained usi... read more 

One Hundred Years Later! The Current Utility of EEG Tools in Psychiatry: Some Insights and Perspectives.

Clinical EEG and neuroscience
ObjectiveSince the pioneering work of Hans Berger in 1929 introducing the utility of human electroencephanlography (EEG) in psychiatry, a considerable amount of work has been devoted to the identification of pathophysiological mechanisms of mental di... read more 

Nurses' ethical leadership, artificial intelligence, and moral sensitivity activation.

Nursing ethics
BackgroundWith the widespread adoption of artificial intelligence (AI) in healthcare and nursing, nurses' subjective perception of AI has become a key indicator of their professional adaptability. However, the underlying mechanisms shaping this perce... read more 

Nursing students' perceptions of gender and race in AI healthcare imagery.

Nursing ethics
BackgroundThe rapid integration of artificial intelligence (AI) into healthcare has transformed how health professionals learn, communicate, and make clinical decisions. However, AI-generated images and digital outputs often reproduce societal stereo... read more 

Predicting postrestorative facial appearance in edentulous patients using deep learning: A prospective cohort study.

The Journal of prosthetic dentistry
STATEMENT OF PROBLEM: Postrestorative facial appearance in edentulous patients remains unpredictable because of complex soft tissue dynamics, posing challenges for prosthodontic treatment planning and patient counseling. Traditional methods lack prec... read more 

From macroscopic clearance to molecular eradication: paradigm shift and future perspectives in the detecting of residual lesions after transurethral resection of bladder tumors.

Expert review of anticancer therapy
INTRODUCTION: Residual lesions after transurethral resection of bladder tumor (TURBT) are a major contributor to recurrence in bladder cancer. Advances in diagnostic technology are shifting postoperative management from conventional macroscopic evalu... read more