Where healthcare is really using AI in 2025 shows focus on ambient speech, revenue cycle, and administrative tasks ...

The IAEA has launched a six-month global webinar series on artificial intelligence in radiation medicine, drawing over 3200 registrants worldwide to navigate the evolving landscape of artificial ...

Objectives In response to a critical shortage of skilled workforce, Ethiopia has scaled up its health professional education (HPE) by increasing the number of training institutions and student ...

Abstract: Disentangled representation learning aims at obtaining an independent latent representation without supervisory signals. However, the independence of a representation does not guarantee ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Healthcare AI moved beyond the pilot phase in 2025. From saving hundreds of lives to reducing costs by $20 million to more than $100 million annually, health systems started experiencing measurable ...

Abstract: Concept-cognitive learning (CCL) is a paradigm that simulates human concept learning by processing given cues through specific cognitive models. However, existing CCL models face significant ...

Mid-Atlantic Permanente Medical Group shows how trusted data and technology can turn value-based care into better outcomes, lower costs and less burnout.