Artificial Intelligence Medical Compendium

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

Showing 35,531 to 35,540 of 222,841 articles

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 

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 

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 

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 

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 

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