Artificial Intelligence Medical Compendium

Convolutional neural networks (CNNs) can predict patient-specific radiation dose distributions, but their generalization to unseen beam geometries and anatomical sites remains challenging. Five CNN models (standard U-Net, U-Net++, U-Net3+, Attention ... read more 

Small extracellular vesicles (sEVs) are promising biomarkers for early cancer diagnosis. Herein, a new machine learning-assisted photoelectrochemical (PEC) biosensor is developed for the highly sensitive detection of plasma sEVs, based on the termina... read more 

Artificial intelligence (AI) platforms are becoming increasingly prevalent in healthcare. Unlike previous technologies, AI has the capability to perform tasks previously considered uniquely human including synthesizing historical information and data... read more 

Single-frame fringe pattern analysis in digital holographic interferometry (DHI) is essential for precision phase measurement under dynamic conditions. Recent advances in deep learning within optical metrology are transforming the reconstruction para... read more 

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Safflower is an Asteraceae oilseed crop valued for its high-quality unsaturated fatty acids (≈90% oleic and linoleic acids), natural floral pigments, and diverse bioactive compounds. These attributes underpin its applications in functional foods, nut... read more 

The current gold standard treatment for Hoarding Disorder (HD) is cognitive behavioral therapy (CBT). However, typical symptom reduction is 25% and only about one third of individuals achieve a clinically meaningful response. We used machine learning... read more 

Quantum materials offer a powerful platform for exploring emergent condensed matter phenomena and developing functional devices, owing to their tunable electronic structures, quasiparticle excitations and collective quantum effects. Layered superlatt... read more 

BACKGROUND: Mental health disorders are associated with substantial morbidity and death in cardiovascular disease, yet their role in perioperative risk stratification remains unclear in patients undergoing cardiothoracic surgery. We evaluated how men... read more 

Endometriosis affects approximately one in 10 women and people assigned female at birth of reproductive age, yet diagnosis is still delayed by years, historically because confirmation required laparoscopy. This review synthesizes which non-invasive t... read more