Artificial Intelligence Medical Compendium

Computed tomography (CT) is one of the most widely used imaging modalities in clinical practice. While profound for disease diagnosis, the extensive use of CT has contributed to the major part of population-based radiation dose, raising public concer... read more 

The extraordinary progress of strategies coupling ab initio calculations and machine learning (ML) has opened the door for both fast and accurate chemical/physical property predictions and for the virtual design of materials. However, these technique... read more 

PURPOSE OF REVIEW: Detection of positive surgical margins during radical prostatectomy is critical to minimizing the risk of prostate cancer recurrence. This review deals with established methods, recent advances in real-time intraoperative technolog... read more 

PURPOSE: To assess the quality of Chat Generative Pre-Trained Transformer-4 Omni (ChatGPT-4o) responses to questions submitted by patients through Epic MyChart. DESIGN: Retrospective cross-sectional study. PARTICIPANTS: One hundred sixty-five patient... read more 

PURPOSE: To objectively identify subclinical keratoconus (SKC) from a large sample of healthy and keratoconus (KC) patients via a data-driven framework on corneal imaging data from an anterior-segment OCT (AS-OCT) device (MS-39, CSO Italia). DESIGN: ... read more 

PURPOSE: AlphaMissense is a newer deep learning-based variant predictor that evaluates the structural consequences of missense variants, the most common pathogenic variant type in inherited retinal diseases (IRDs). This study evaluates the diagnostic... read more 

AIMS: To develop and evaluate a deep learning model for immediate and accurate diagnosis of acute heart failure(HF) using standard 12-lead electrocardiogram(ECG) waveforms collected from a large cohort of patients. METHODS AND RESULTS: We retrospecti... read more 

OBJECTIVE: Patients with tetraplegia experience significant limitations in upper extremity function, restricting the performance of activities of daily living. Herein, we evaluated the effects of upper extremity training using an exoskeleton robot de... read more 

The widespread use of quaternary ammonium compounds (QACs), intensified by the COVID-19 pandemic, has led to their increasing presence in aquatic environments, thereby demanding effective treatment strategies for shock loads from industrial discharge... read more 

BACKGROUND AND OBJECTIVE: Accurate prediction of overall survival (OS) in patients with small cell lung cancer (SCLC) is crucial for personalized treatment. This study aimed to create a three-dimensional (3D) automatic segmentation model for identify... read more