Artificial Intelligence Medical Compendium

The performance of many facial recognition (FR) algorithms is adversely affected in uncontrolled settings due to diverse facial expressions, lighting changes, occlusions, and image noise. This poses a significant challenge in developing a reliable an... read more 

Multiple myeloma (MM) is an incurable hematologic neoplasm with heterogeneous prognosis. Within the bone marrow microenvironment, macrophage polarization (MP) contributes to immune remodeling and may influence disease progression, yet MP-related prog... read more 

Artificial Intelligence (AI) has drastically enhanced healthcare diagnostics with automated disease detection, predictive analytics, and intelligent systems for clinical decision support. Nevertheless, the black-box nature of deep learning models ham... read more 

BACKGROUND: Risk scores aim to predict 30-day heart failure (HF) readmissions. PROJECT RATIONALE: Current models, including Epic's Risk of Unplanned Readmission for a 30-Day Event, demonstrate modest to moderate discriminatory ability (area under the... read more 

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