Artificial Intelligence Medical Compendium

PURPOSE: This work proposes a novel self-supervised noise-adaptive image denoising framework, called Repetition to Repetition (Rep2Rep) learning, for low-field ( < $$ < $$ 1T) MRI applications. METHODS: Rep2Rep learning extends the Noise2Noise fram... read more 

Alcohol abuse is a risk factor for atraumatic fractures. Our previous work using a non-human primate model of voluntary ethanol consumption showed that chronic ethanol intake for 6 months to 2.5 years decreased global bone turnover and tibial cortica... read more 

Accurate forecasting of dissolved oxygen (DO) is crucial for maintaining biological treatment and minimizing energy consumption in wastewater systems. This challenge is acute in rural stabilization ponds, where DO responds nonlinearly to nutrient flu... read more 

PURPOSE: Abdominopelvic soft-tissue sarcomas (AP-STS) are selectively treated with radiation therapy (RT) followed by surgery. We investigated dosimetric factors predictive of acute and long-term gastrointestinal (GI) toxicities in patients treated w... read more 

BACKGROUND: Major adverse cardiovascular events (MACE)-cardiovascular (CV) death, nonfatal myocardial infarction (MI), and nonfatal stroke-are highly relevant clinical outcomes. In global randomized trials, medical records review by a physician clini... read more 

BACKGROUND AND OBJECTIVE: Electroencephalography (EEG) is a crucial tool for monitoring recovery in patients with disorders of consciousness (DOC) after therapeutic interventions. It helps in identifying the neural correlates and in guiding the devel... read more 

PURPOSE: To utilize a machine learning model for employing ultra-widefield fundus photograph (UWFFP) as a surrogate marker for ultra-widefield fluorescein angiography (UWFFA) in detecting posterior segment inflammation. DESIGN: An evaluation of techn... read more 

BACKGROUND: Artificial intelligence applied to electrocardiograms (ECG-AI) offers a scalable approach to identify individuals at risk for heart failure (HF) and guide preventive interventions. OBJECTIVES: The purpose of this study was to assess wheth... read more 

BACKGROUND: Distal radial fractures (DRFs) are some of the most common pediatric injuries, often involving the physis. Diagnostic accuracy can be challenging for physicians unfamiliar with managing pediatric injuries, with misdiagnosis rates reported... read more 

Honey adulteration with low-cost syrups like glucose syrup (GS), rice syrup (RS), and high-fructose corn syrup (HFCS) remains a global concern. National laboratories require fast, non-destructive methods to ensure honey authenticity. This study emplo... read more