Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 35,801 to 35,810 of 223,137 articles

Decipher-MR: a vision-language foundation model for 3D MRI representations.

NPJ digital medicine
Magnetic Resonance Imaging is a critical imaging modality in clinical diagnosis and research, yet its complexity and heterogeneity hinder scalable, generalizable machine learning. Although foundation models have revolutionized language and vision tas... read more 

Application of machine learning algorithm for predicting acute malnutrition among under 5 children in east Africa using recent DHS.

Scientific reports
Acute malnutrition remains a critical public health challenge across East Africa, contributing substantially to under-five morbidity and mortality. Early identification of at-risk children using predictive models could enhance timely intervention. Th... read more 

Real-world benchmarking and validation of foundation model transformers for endometrial cancer subtyping from histopathology.

NPJ precision oncology
We benchmarked histopathology foundation encoders paired with attention-based multiple instance learning (MIL) against convolutional neural networks (CNNs) to assess their robustness for endometrial cancer molecular classification (MMR-deficient, p53... read more 

Data-driven flood susceptibility assessment using hybrid machine learning and optimization techniques: case of the Sedrata Watershed, NE Algeria.

Scientific reports
Flooding is one of the most disastrous natural hazards around the globe, causing enormous ecological and socio-economic losses; therefore, reliable assessment tools are required for informed risk management. This research proposes a hybrid flood susc... read more 

Ultrasound synthetic aperture imaging with SpecularNet for enhanced needle visualization.

Journal of medical ultrasonics (2001)
PURPOSE: Ultrasound imaging has been routinely used for needle guidance due to its real-time capability and cost-efficiency. However, conventional ultrasound with fixed-angle transmission often suffers from reduced visualization of oblique needles wh... read more 

Representation Transfer via Invariant Input-driven Continuous Attractors for Fast Domain Adaptation.

Communications biology
Conventional end-to-end deep neural networks often degrade under domain shifts and require costly retraining when deployed in unpredictable, noisy environments. Inspired by biological brains, we propose a modular framework where each module is a recu... read more 

Machine learning model for multi-factor risk prediction in airport construction under non-stop operations.

Scientific reports
Airport construction under non-stop operations presents unique safety challenges due to complex multi-factor interactions that traditional qualitative methods cannot adequately address. To address this, a study was conducted on 412 construction event... read more