Dinesh Visva Gunasekeran

Applications of digital health for public health responses to COVID-19: a systematic scoping review of artificial intelligence, telehealth and related technologies

2021 · 283 Zit. · npj Digital Medicine

Acceptance and Perception of Artificial Intelligence Usability in Eye Care (APPRAISE) for Ophthalmologists: A Multinational Perspective

2022 · 54 Zit. · Frontiers in Medicine

The next generation of healthcare ecosystem in the metaverse

2023 · 50 Zit. · Biomedical Journal

Development and testing of a multi-lingual Natural Language Processing-based deep learning system in 10 languages for COVID-19 pandemic crisis: A multi-center study

2023 · 36 Zit. · Frontiers in Public Health

Considerations for Artificial Intelligence Real-World Implementation in Ophthalmology: Providers' and Patients' Perspectives

2021 · 28 Zit. · Asia-Pacific Journal of Ophthalmology

An artificial intelligence and blockchain technology-based data management framework for multicenter randomized controlled trials

2025 · 4 Zit. · Science Bulletin

Regulations for the development of deep technology applications in healthcare urgently needed to prevent abuse of vulnerable patients

2018 · 4 Zit. · BMJ Innovations

Regulation of clinical Artificial Intelligence (AI) in the Age of Agents: Unconfined Non-Deterministic Clinical Software (UNDCS) systems for healthcare

2026 · 1 Zit. · npj Digital Medicine

PRIMARY-AI: outcomes-based standards to safeguard primary care in the AI era

2026 · 0 Zit. · Nature Medicine

CLINICAL IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE (AI) IN OPHTHALMOLOGY

2024 · 0 Zit. · National University of Singapore

A Unified Strategy for an Agentic Artificial Intelligence (AI)-assisted Clinical Decision Support (CDS) System for Primary Care: A Mixed-Method Study in Singapore (Preprint)

2025 · 0 Zit.