Artificial Intelligence Medical Compendium

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OBJECTIVE: To evaluate the utility of multimodal imaging biomarkers in papillary thyroid carcinoma (PTC), this study developed a deep learning model using ultrasound (US) and computed tomography (CT) imaging to predict central lymph node metastasis (... read more 

Passive microfluidic mixing is fundamentally constrained by the dominance of laminar flow, a limitation commonly addressed using embedded obstacles or surface modifications, often at the cost of increased fabrication complexity and hydraulic resistan... read more 

The combination of the Internet of Things (IoT), artificial intelligence (AI), and wearable biosensors is transforming healthcare by allowing continuous, real-time monitoring and more intelligent clinical decision-making. This review explores AI-driv... read more 

Adipose tissue has a central role in systemic energy balance and the pathogenesis of obesity and its sequelae1,2. In contrast to white adipose tissue, brown adipose tissue (BAT) uses energy to produce heat3. Detectable BAT in humans is associated wit... read more 

Decision-makers rely on weather forecasts to plant crops, manage wildfires, allocate water and energy and prepare for weather extremes1-3. Today, such forecasts enjoy unprecedented accuracy as far as 2 weeks thanks to steady advances in physics-based... read more 

Neuronal microexons are a highly conserved class of alternative splicing events enriched in genes with critical functions in nervous system biology1,2. Microexon splicing is often disrupted in the brains of autistic individuals, and mice with microex... read more 

Here we present MassNet, inspired by large-scale data corpora of text and images; MassNet is an artificial intelligence (AI)-ready data corpus for mass spectrometry (MS)-based proteomics. The corpus contains 1.5 billion tandem MS spectra from high-qu... read more 

BACKGROUND: Large language models (LLMs) are increasingly being explored as supportive tools in postoperative patient communication. However, their ability to recognize and appropriately manage postoperative surgical complications remains unclear. Th... read more 

OBJECTIVES: To develop and evaluate a method to predict glomerular filtration rate (GFR) from clinical renal CT. MATERIALS AND METHODS: Medical records of adult living kidney donors operated between 2013 and 2022 and patients considered for neoadjuva... read more