HONeYBEE: enabling scalable multimodal AI in oncology through foundation model-driven embeddings

Artificial intelligence in oncology: promise, peril, and the future of patient–physician interaction

Artificial intelligence (AI) is increasingly embedded in oncology. While initial technical evaluations emphasize diagnostic accuracy and efficiency, the impact on patient–physician interaction (PPI)—the foundation of

Healthcare practitioners’ acceptance of using telehealth in the Kingdom of Saudi Arabia: an application of the unified theory of acceptance and use of technology model

IntroductionTelehealth offers several advantages over traditional in-person clinic visits. Despite its potential benefits, some barriers affect the optimal use of telehealth. Understanding healthcare practitioners’ (HCPs)

Correction: Exploring health professionals’ views on the depiction of conversational agents as health professionals: a qualitative descriptive study

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Generative AI in clinical (2020–2025): a mini-review of applications, emerging trends, and clinical challenges

Generative artificial intelligence (G-AI) has moved from proof-of-concept demonstrations to practical tools that augment radiology, dermatology, genetics, drug discovery, and electronic-health-record analysis. This mini-review synthesizes

Can human connection amplify digital health outcomes? Familial involvement in a mobile health app

npj Digital Medicine, Published online: 03 November 2025; doi:10.1038/s41746-025-02037-8 In “A Randomized Controlled Trial of Mobile Intervention Using Health Support Bubbles to Prevent Social Frailty”,