AI-driven patient support: Evaluating the effectiveness of ChatGPT-4 in addressing queries about ovarian cancer compared with healthcare professionals in gynecologic oncology.
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| Title: | AI-driven patient support: Evaluating the effectiveness of ChatGPT-4 in addressing queries about ovarian cancer compared with healthcare professionals in gynecologic oncology. |
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| Authors: | Chou HH; Department of Obstetrics and Gynecology, Linkou Branch, Chang Gung Memorial Hospital, Tao-Yuan, Taiwan.; School of Medicine, National Tsing Hua University, Hsinchu, Taiwan., Chen YH; School of Nursing, College of Medicine, Chang Gung University, Tao-Yuan, Taiwan., Lin CT; Nursing Department, Linkou Branch, Chang Gung Memorial Hospital, Tao-Yuan, Taiwan., Chang HT; Bachelor Program in Artificial Intelligence, Chang Gung University, Taoyuan 333, Tao-Yuan, Taiwan.; Department of Computer Science and Information Engineering, Chang Gung University, Taoyuan 333, Tao-Yuan, Taiwan.; Department of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital, Taoyuan 333, Tao-Yuan, Taiwan., Wu AC; Department of Computer Science and Information Engineering, Chang Gung University, Taoyuan 333, Tao-Yuan, Taiwan., Tsai JL; School of Nursing, College of Medicine, Chang Gung University, Tao-Yuan, Taiwan., Chen HW; School of Nursing, College of Medicine, Chang Gung University, Tao-Yuan, Taiwan., Hsu CC; Department of Computer Science and Information Engineering, Chang Gung University, Taoyuan 333, Tao-Yuan, Taiwan., Liu SY; School of Nursing, College of Medicine, Chang Gung University, Tao-Yuan, Taiwan., Lee JT; School of Nursing, College of Medicine, Chang Gung University, Tao-Yuan, Taiwan. jtlee@gap.cgu.edu.tw.; Nursing Department, Linkou Branch, Chang Gung Memorial Hospital, Tao-Yuan, Taiwan. jtlee@gap.cgu.edu.tw. |
| Source: | Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer [Support Care Cancer] 2025 Apr 01; Vol. 33 (4), pp. 337. Date of Electronic Publication: 2025 Apr 01. |
| Publication Type: | Journal Article; Comparative Study |
| Journal Info: | Publisher: Springer International Country of Publication: Germany NLM ID: 9302957 Publication Model: Electronic Cited Medium: Internet ISSN: 1433-7339 (Electronic) Linking ISSN: 09414355 NLM ISO Abbreviation: Support Care Cancer Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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