Artificial Intelligence Medical Compendium

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

Showing 34,491 to 34,500 of 221,633 articles

scAgeClock: a single-cell transcriptome-based human aging clock model using gated multi-head attention neural networks.

npj aging
Aging clock models have emerged as a crucial tool for measuring biological age, with significant implications for anti-aging interventions and disease risk assessment. However, human aging clock models that offer single-cell resolution and account fo... read more 

FCM vectorization for Twitter sentimental analysis using multi stacked BiLSTM.

Scientific reports
Twitter data analysis gives valuable insights into various aspects of society, such as consumer opinions, political sentiments, brand reputation, and more. This information can help businesses and organizations make informed decisions, track the succ... read more 

Transformer augmented hybrid deep learning for explainable multi class pest classification.

Scientific reports
Agricultural pests continue to impose serious threats to global food security by causing major yield losses across diverse cropping systems, making early and accurate identification vital for effective pest management. With the growing integration of... 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 

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