Attitudes Of Chinese Cancer Patients Toward The Clinical Use Of Artificial Intelligence
Received 4 August 2019
Accepted for publication 16 October 2019
Published 1 November 2019 Volume 2019:13 Pages 1867—1875
Checked for plagiarism Yes
Review by Single-blind
Peer reviewer comments 3
Editor who approved publication: Dr Naifeng Liu
Keyi Yang, Zhi Zeng, Hu Peng, Yu Jiang
Department of Head and Neck Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, People’s Republic of China
Correspondence: Yu Jiang
Department of Head and Neck Oncology, Cancer Center, West China Hospital, Sichuan University, No. 37, Guo Xue Lane, Chengdu, Sichuan 610041, People’s Republic of China
Tel/fax +86 28 85423278
Purpose: Artificial intelligence (AI) plays a substantial role in many domains, including medical fields. However, we still lack evidence to support whether or not cancer patients will accept the clinical use of AI. This research aims to assess the attitudes of Chinese cancer patients toward the clinical use of artificial intelligence in medicine (AIM), and to analyze the possible influencing factors.
Patients and methods: A questionnaire was delivered to 527 participants. Targeted people were Chinese cancer patients who were informed of their cancer diagnosis.
Results: The effective response rate was 76.3% (402/527). Most cancer patients trusted AIMs in both stages of diagnosis and treatment, and participants who had heard of AIMs were more likely to trust them in the diagnosis phase. When an AIM’s diagnosis diverged from a human doctor’ s, ethnic minorities, and those who had received traditional Chinese medicine (TCM), had never received chemotherapy, were more likely to choose “AIM”, and when an AIM’s therapeutic advice diverged from a human doctor’s, male participants, and those who had received TCM or surgery, were more likely to choose “AIM”.
Conclusion: Most Chinese cancer patients believed in the AIM to some extent. Nevertheless, most still thought that oncology physicians were more trustworthy when their opinions diverged. Participants’ gender, race, treatment received, and AIM related knowledge might influence their attitudes toward the AIM. Most participants thought AIM would assist oncology physicians in the future, while little really believed that oncology physicians would completely be replaced.
Keywords: artificial intelligence, attitude, cancer, cancer patient, clinical use, oncology
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