Artificial Intelligence Medical Compendium

Physics-Informed Kolmogorov-Arnold Networks (PIKANs) have been gaining attention as an effective counterpart to the original multilayer perceptron-based Physics-Informed Neural Networks (PINNs). Both representation models can address inverse problems... read more 

Automated seizure detection systems face significant challenges due to the limited availability of clinical EEG data, a substantial class imbalance between seizure and non-seizure recordings, considerable variability among patients, and the issue of ... read more 

INTRODUCTION: The use of Artificial Intelligence (AI) has grown dramatically in recent years. In addition to its use for data analysis, its applications have extended to manuscript writing. In this article, we analyze the policies within top neurosur... read more 

OBJECTIVE: This study aimed to explore the feasibility of a discriminative correlation filter network (DCFNet)-based algorithm for positioning inconspicuous focal liver lesions (FLLs) on conventional US by tracking surrounding anatomical landmarks (S... read more 

BACKGROUND: Asthma is the most common chronic disease in children. Suboptimal asthma control is prevalent and causes significant health care costs. Electronic health records (EHRs) contain vast data which pose a major challenge for timely and efficie... read more 

PURPOSE: To determine whether retinal neovascularization (RNV) metrics derived from single-shot widefield swept-source OCT angiography (SS-OCTA) predict subsequent vision-threatening complications in eyes with high-risk proliferative diabetic retinop... read more 

Chemical-induced urinary tract toxicity, particularly in the bladder and ureters, remains undercharacterized relative to nephrotoxicity. We present an explainable QSAR framework that predicts urinary tract toxicity of defined chemicals using mechanis... read more 

OBJECTIVE: Radiology residents require timely, personalized feedback to develop accurate image analysis and reporting skills. Increasing clinical workload often limits attendings' ability to provide guidance. This study evaluates a HIPAA-compliant Ge... read more 

BACKGROUND: Adolescent health is a worldwide concern. Previous research identified many factors of mental and physical health issues, which typically focused on a single or a few domains of predictors. METHODS: To identify the optimal predictors for ... read more 

OBJECTIVE: Previous research suggests that adolescents with BPD (aBPD) exhibit distinct neuroanatomical alterations, although methodological limitations such as low sample size, and the reliance on univariate massive statistical analyses, prevent con... read more