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Felicity Jane Pool

National University of Singapore (NUS)

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A Multi-Reader Multi-Case Study Comparing Mammographic Breast Cancer Detection Rates on Mammograms by Resident and Consultant Radiologists in Singapore with and Without the Use of AI Assistance

Number of pages: 17 Posted: 21 Dec 2023
Serene Goh, Hao Du, Loon Ying Tan, Edward Seah, Wai Keat Lau, Alvin Hong Zhi Ng, Shi Wei Desmond Lim, Han Yang Ong, Samuel Lau, Yi Liang Tan, Mun Sze Khaw, Chee Woei Yap, Douglas Hui, Wei Chuan Tan, Siti Rozana Binti Haziz, Khoo Vanessa Meihui, Shuliang Ge, Felicity Jane Pool, Yun Song Choo, Wang Yi, Pooja Jagmohan, Premilla Gopinathan Pillay, Mikael Hartman and Mengling Feng
National University of Singapore (NUS), National University of Singapore (NUS), National University of Singapore (NUS), National University of Singapore (NUS), National University of Singapore (NUS), National University of Singapore (NUS), National University of Singapore (NUS), National University of Singapore (NUS), National University of Singapore (NUS), National University of Singapore (NUS), National University of Singapore (NUS), National University of Singapore (NUS), National University of Singapore (NUS), National University of Singapore (NUS), National University of Singapore (NUS), National University of Singapore (NUS), National University of Singapore (NUS), National University of Singapore (NUS), National University of Singapore (NUS), National University of Singapore (NUS), National University of Singapore (NUS), National University of Singapore (NUS), National University of Singapore (NUS) and National University of Singapore (NUS) - Saw Swee Hock School of Public Health
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Artificial intelligence, Mammography, Breast cancer detection, Digital health, Radiology training, residents