Artificial Intelligence Medical Compendium

OBJECTIVE: To develop and evaluate a machine learning framework that detects intravenous contrast and distinguishes eight granular renal contrast phases on abdominal computed tomography (CT) scans to improve renal assessment. PATIENTS AND METHODS: Th... read more 

The artificial intelligence (AI) revolution has already begun. AI scribes are charting. Chatbots are offering limited psychotherapy services. Researchers are trying to use AI to improve suicide risk prediction, psychiatric diagnosis, medication manag... read more 

OBJECTIVE: To evaluate whether an artificial intelligence-based national virtual triage and care referral (VTCR) service in Australia improved care acuity level alignment, increased patient engagement of telemedicine services, and reduced emergency d... read more 

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OBJECTIVE: The purpose of this study is to develop an automated model to assist in the detection of substructural injuries of the triangular fibrocartilage complex (TFCC), thereby reducing the reliance on subjective assessment. METHODS: This retrospe... read more 

PURPOSE: To develop a self-supervised scan-specific deep learning framework for reconstructing accelerated multiparametric quantitative MRI (qMRI). METHODS: We propose REFINE-MORE (REference-Free Implicit NEural representation with MOdel REinforcemen... read more 

PURPOSE: To develop a deep learning (DL) denoising method to enhance high-resolution carotid vessel wall MRI quality acquired using a standard head-and-neck clinical coil. METHODS: Fifty-five scans were performed as part of an ongoing multicenter stu... read more 

Cardiovascular disease (CVD) risk prediction models for the general population may not provide accurate predictions in individuals with bipolar disorder (BD) who have elevated risks of cardiometabolic conditions and premature mortality. Therefore, we... read more 

Understanding the genetic basis of phenotypic differences across species has been a longstanding goal of evolutionary biology since Darwin. While a recent proliferation of mammalian genomes has provided an unprecedented inventory of sequence differen... read more 

INTRODUCTION AND AIMS: Artificial intelligence (AI) has rapidly transformed dental imaging by enabling automated detection, diagnosis, and analysis of various dental conditions. However, a comprehensive synthesis of United States Food and Drug Admini... read more