Evaluating ChatGPT as an adjunct for the multidisciplinary tumor board decision-making in primary breast cancer cases

被引:66
作者
Lukac, Stefan [1 ]
Dayan, Davut [1 ]
Fink, Visnja [1 ]
Leinert, Elena [1 ]
Hartkopf, Andreas [1 ]
Veselinovic, Kristina [1 ]
Janni, Wolfgang [1 ]
Rack, Brigitte [1 ]
Pfister, Kerstin [1 ]
Heitmeir, Benedikt [1 ]
Ebner, Florian [1 ,2 ]
机构
[1] Univ Hosp Ulm, Dept Gynecol & Obstet, Prittwitzstr 43, D-89075 Ulm, Germany
[2] Gynakol Gemeinschaftspraxis Freising & Moosburg, Munich, Germany
关键词
Artificial intelligence; Breast cancer; Multidisciplinary tumor board; ChatGPT; ARTIFICIAL-INTELLIGENCE; AGREEMENT; IMPACT;
D O I
10.1007/s00404-023-07130-5
中图分类号
R71 [妇产科学];
学科分类号
100211 ;
摘要
BackgroundAs the available information about breast cancer is growing every day, the decision-making process for the therapy is getting more complex. ChatGPT as a transformer-based language model possesses the ability to write scientific articles and pass medical exams. But is it able to support the multidisciplinary tumor board (MDT) in the planning of the therapy of patients with breast cancer?Material and MethodsWe performed a pilot study on 10 consecutive cases of breast cancer patients discussed in MDT at our department in January 2023. Included were patients with a primary diagnosis of early breast cancer. The recommendation of MDT was compared with the recommendation of the ChatGPT for particular patients and the clinical score of the agreement was calculated.ResultsResults showed that ChatGPT provided mostly general answers regarding chemotherapy, breast surgery, radiation therapy, chemotherapy, and antibody therapy. It was able to identify risk factors for hereditary breast cancer and point out the elderly patient indicated for chemotherapy to evaluate the cost/benefit effect. ChatGPT wrongly identified the patient with Her2 1 + and 2 + (FISH negative) as in need of therapy with an antibody and called endocrine therapy "hormonal treatment".ConclusionsSupport of artificial intelligence by finding individualized and personalized therapy for our patients in the time of rapidly expanding amount of information is looking for the ways in the clinical routine. ChatGPT has the potential to find its spot in clinical medicine, but the current version is not able to provide specific recommendations for the therapy of patients with primary breast cancer.
引用
收藏
页码:1831 / 1844
页数:14
相关论文
共 26 条
[11]   Artificial intelligence and lung cancer treatment decision: agreement with recommendation of multidisciplinary tumor board [J].
Kim, Min-Seok ;
Park, Ha-Young ;
Kho, Bo-Gun ;
Park, Cheol-Kyu ;
Oh, In-Jae ;
Kim, Young-Chul ;
Kim, Seok ;
Yun, Ju-Sik ;
Song, Sang-Yun ;
Na, Kook-Joo ;
Jeong, Jae-Uk ;
Yoon, Mee Sun ;
Ahn, Sung-Ja ;
Yoo, Su Woong ;
Kang, Sae-Ryung ;
Kwon, Seong Young ;
Bom, Hee-Seung ;
Jang, Woo-Youl ;
Kim, In-Young ;
Lee, Jong-Eun ;
Jeong, Won-Gi ;
Kim, Yun-Hyeon ;
Lee, Taebum ;
Choi, Yoo-Duk .
TRANSLATIONAL LUNG CANCER RESEARCH, 2020, 9 (03) :507-514
[12]  
Kung TH, 2023, PLOS Digit Health, V2, DOI DOI 10.1371/JOURNALPDIG.0000198
[13]   The Impact of Age on Quality of Life in Breast Cancer Patients Receiving Adjuvant Chemotherapy: A Comparative Analysis From the Prospective Multicenter Randomized ADEBAR trial [J].
Leinert, Elena ;
Singer, Susanne ;
Janni, Wolfgang ;
Harbeck, Nadia ;
Weissenbacher, Tobias ;
Rack, Brigitte ;
Augustin, Doris ;
Wischnik, Arthur ;
Kiechle, Marion ;
Ettl, Johannes ;
Fink, Visnja ;
Schwentner, Lukas ;
Eichler, Martin .
CLINICAL BREAST CANCER, 2017, 17 (02) :100-106
[14]  
Lukac S., 2023, Age of the patient as a prognosis and therapy-relevant factor in early breast cancer
[15]   Multidisciplinary Tumor Board Smart Virtual Assistant in Locally Advanced Cervical Cancer: A Proof of Concept [J].
Macchia, Gabriella ;
Ferrandina, Gabriella ;
Patarnello, Stefano ;
Autorino, Rosa ;
Masciocchi, Carlotta ;
Pisapia, Vincenzo ;
Calvani, Cristina ;
Iacomini, Chiara ;
Cesario, Alfredo ;
Boldrini, Luca ;
Gui, Benedetta ;
Rufini, Vittoria ;
Gambacorta, Maria Antonietta ;
Scambia, Giovanni ;
Valentini, Vincenzo .
FRONTIERS IN ONCOLOGY, 2022, 11
[16]   International evaluation of an AI system for breast cancer screening [J].
McKinney, Scott Mayer ;
Sieniek, Marcin ;
Godbole, Varun ;
Godwin, Jonathan ;
Antropova, Natasha ;
Ashrafian, Hutan ;
Back, Trevor ;
Chesus, Mary ;
Corrado, Greg C. ;
Darzi, Ara ;
Etemadi, Mozziyar ;
Garcia-Vicente, Florencia ;
Gilbert, Fiona J. ;
Halling-Brown, Mark ;
Hassabis, Demis ;
Jansen, Sunny ;
Karthikesalingam, Alan ;
Kelly, Christopher J. ;
King, Dominic ;
Ledsam, Joseph R. ;
Melnick, David ;
Mostofi, Hormuz ;
Peng, Lily ;
Reicher, Joshua Jay ;
Romera-Paredes, Bernardino ;
Sidebottom, Richard ;
Suleyman, Mustafa ;
Tse, Daniel ;
Young, Kenneth C. ;
De Fauw, Jeffrey ;
Shetty, Shravya .
NATURE, 2020, 577 (7788) :89-+
[17]   Trastuzumab Deruxtecan in Previously Treated HER2-Low Advanced Breast Cancer [J].
Modi, Shanu ;
Jacot, William ;
Yamashita, Toshinari ;
Sohn, Joohyuk ;
Vidal, Maria ;
Tokunaga, Eriko ;
Tsurutani, Junji ;
Ueno, Naoto T. ;
Prat, Aleix ;
Chae, Yee Soo ;
Lee, Keun Seok ;
Niikura, Naoki ;
Park, Yeon Hee ;
Xu, Binghe ;
Wang, Xiaojia ;
Gil-Gil, Miguel ;
Li, Wei ;
Pierga, Jean-Yves ;
Im, Seock-Ah ;
Moore, Halle C. F. ;
Rugo, Hope S. ;
Yerushalmi, Rinat ;
Zagouri, Flora ;
Gombos, Andrea ;
Kim, Sung-Bae ;
Liu, Qiang ;
Luo, Ting ;
Saura, Cristina ;
Schmid, Peter ;
Sun, Tao ;
Gambhire, Dhiraj ;
Yung, Lotus ;
Wang, Yibin ;
Singh, Jasmeet ;
Vitazka, Patrik ;
Meinhardt, Gerold ;
Harbeck, Nadia ;
Cameron, David A. .
NEW ENGLAND JOURNAL OF MEDICINE, 2022, 387 (01) :9-20
[18]  
openai, OP AI INTR CHATGPT
[19]   The Systematic Review of Artificial Intelligence Applications in Breast Cancer Diagnosis [J].
Ozsahin, Dilber Uzun ;
Emegano, Declan Ikechukwu ;
Uzun, Berna ;
Ozsahin, Ilker .
DIAGNOSTICS, 2023, 13 (01)
[20]  
Rao Arya, 2023, medRxiv, DOI 10.1101/2023.02.02.23285399