Characterizing Artificial Intelligence Applications in Cancer Research: A Latent Dirichlet Allocation Analysis

Bach Xuan Tran   ^{1, 2} , PhD ;   Carl A Latkin   ² , PhD ;   Noha Sharafeldin   ^{3, 4} , PhD, MBChB ;   Katherina Nguyen   ⁵ , BA ;   Giang Thu Vu   ⁶ , MSc ;   Wilson W S Tam   ⁷ , PhD ;   Ngai-Man Cheung   ^{8, 9} , PhD ;   Huong Lan Thi Nguyen   ¹⁰ , MSc ;   Cyrus S H Ho   ¹¹ , MBBS ;   Roger C M Ho   ^{12, 13, 14} , MBBS

¹ Institute for Preventive Medicine and Public Health, Hanoi Medical University, Hanoi, Vietnam

² Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States

³ Division of Hematology & Oncology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States

⁴ Institute for Cancer Outcomes and Survivorship, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States

⁵ Department of Science, Technology, and Society, Stanford University, Palo Alto, CA, United States

⁶ Center of Excellence in Evidence-based Medicine, Nguyen Tat Thanh University, Ho Chi Minh, Vietnam

⁷ Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore

⁸ Center of Excellence in Artificial Intelligence in Medicine, Nguyen Tat Thanh University, Ho Chi Minh, Vietnam

⁹ Information Systems Technology and Design, Singapore University of Technology and Design, Singapore, Singapore

¹⁰ Institute for Global Health Innovations, Duy Tan University, Da Nang, Vietnam

¹¹ Department of Psychological Medicine, National University Hospital, Singapore, Singapore

¹² Center of Excellence in Behavior Medicine, Nguyen Tat Thanh University, Ho Chi Minh, Vietnam

¹³ Institute for Health Innovation and Technology, National University of Singapore, Singapore, Singapore

¹⁴ Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore