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Using A Google Web Search Analysis to Assess the Utility of ChatGPT in Stem Cell Therapy.
Chen, Long; Li, Hui; Su, Yiqi; Yang, Zhen; He, Zihao; Wang, Du; Li, Jiao Jiao; Xing, Dan.
Affiliation
  • Chen L; Arthritis Clinic and Research Center, Peking University People's Hospital, Peking University, Beijing, People's Republic of China.
  • Li H; Arthritis Clinic and Research Center, Peking University People's Hospital, Peking University, Beijing, People's Republic of China.
  • Su Y; Arthritis Clinic and Research Center, Peking University People's Hospital, Peking University, Beijing, People's Republic of China.
  • Yang Z; Arthritis Clinic and Research Center, Peking University People's Hospital, Peking University, Beijing, People's Republic of China.
  • He Z; Arthritis Clinic and Research Center, Peking University People's Hospital, Peking University, Beijing, People's Republic of China.
  • Wang D; Arthritis Clinic and Research Center, Peking University People's Hospital, Peking University, Beijing, People's Republic of China.
  • Li JJ; School of Biomedical Engineering, Faculty of Engineering & IT, University of Technology Sydney, Sydney, NSW, Australia.
  • Xing D; Arthritis Clinic and Research Center, Peking University People's Hospital, Peking University, Beijing, People's Republic of China.
Stem Cells Transl Med ; 13(1): 60-68, 2024 Jan 12.
Article in En | MEDLINE | ID: mdl-37936506
OBJECTIVE: Since its introduction, the use of ChatGPT has increased significantly for medically related purposes. However, current research has not captured its applications in providing information on stem cell therapy. To address this gap, the present study compared the effectiveness of ChatGPT to Google in answering medical questions related to stem cell therapy. METHODS: The search term "stem cell therapy" was used to perform a Google web search, and the top 20 frequently asked questions along with answers were recorded together with relevant website sources. Of these questions, the top 10 questions were separately entered into ChatGPT, and the answers and the sources were recorded. Then, the following statement was entered into ChatGPT: "Do a Google search with the search term 'stem cell therapy' and record 20 common questions related to the search term." After obtaining these questions, each question was separately entered into ChatGPT for an answer and source. RESULTS: A majority of the top 20 questions provided by Google were related to fact, whereas a majority of the questions provided by ChatGPT were related to policy. The answer sources used by Google were mostly drawn from medical practice, while those used by ChatGPT were mostly drawn from academic information. CONCLUSION: Compared to Google, ChatGPT exhibits stronger capabilities in promoting awareness of stem cell therapy. ChatGPT has the ability to eliminate misleading information by providing accurate and reliable answers. However, the responses provided by ChatGPT are still general in nature and cannot substitute academic sources for providing specialized knowledge.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Stem Cell Transplantation / Search Engine Language: En Journal: Stem Cells Transl Med Year: 2024 Document type: Article Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Stem Cell Transplantation / Search Engine Language: En Journal: Stem Cells Transl Med Year: 2024 Document type: Article Country of publication: