The Lancet

Development and validation of a machine-learning model to reduce futile procurements in donations after circulatory death in liver transplantation in the USA…

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
Scientific Research Publishing

Analysis of Decision Support Systems (DSS) Integration with AI Using Mobile Health (m-Health) and Wearables ()

Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...
IEEE

Multimodal Biomarker Discovery for Diabetic Retinopathy: An In-Context Learning Approach to Early Detection and Progression Monitoring

Abstract: This study proposes a deep learning approach for the diagnosis of diabetic retinopathy (DR) and diabetic macular edema (DME) through multimodal imaging analysis. DR and DME are leading ...
IEEE

Driving Industry 4.0 with Digital Twins: Enhancing Predictive Maintenance and Operational Performance Through IoT and Machine Learning

Digital Twin (DT) technology, in conjunction with Internet of Things (IoT) data, has developed as a gamechanging technology for predictive maintenance (PdM) of industrial systems. This paper presents ...