Cher Heng Tan

Machine learning in medicine: what clinicians should know

2021 · 78 Zit. · Singapore Medical Journal

Artificial Intelligence and Radiology in Singapore: Championing a New Age of Augmented Imaging for Unsurpassed Patient Care

2019 · 18 Zit. · Annals of the Academy of Medicine Singapore

Harnessing artificial intelligence in radiology to augment population health

2023 · 17 Zit. · Frontiers in Medical Technology

Artificial intelligence innovation in healthcare: Relevance of reporting guidelines for clinical translation from bench to bedside

2023 · 7 Zit. · Annals of the Academy of Medicine Singapore

Position Statements of the Emerging Trends Committee of the Asian Oceanian Society of Radiology on the Adoption and Implementation of Artificial Intelligence for Radiology

2024 · 7 Zit. · Korean Journal of Radiology

It is Time to Incorporate Artificial Intelligence in Radiology Residency Programs

2023 · 5 Zit. · Korean Journal of Radiology

Deep Neural Network Augments Performance of Junior Residents in Diagnosing COVID-19 Pneumonia on Chest Radiographs

2023 · 4 Zit. · Diagnostics

Clinical use cases in artificial intelligence: current trends and future opportunities

2024 · 3 Zit. · Singapore Medical Journal

Regulating, implementing and evaluating AI in Singapore healthcare: AI governance roundtable’s view

2025 · 2 Zit. · Annals of the Academy of Medicine Singapore

Access and Reimbursement for Artificial Intelligence in Radiology: A Singapore Perspective

2025 · 1 Zit. · Korean Journal of Radiology

Response to “The Value of Non-Clinical Applications of Artificial Intelligence in Radiology Should Be Noted”

2024 · 0 Zit. · Korean Journal of Radiology