This study will evaluate the utility of ChatGPT in recommending treatment plans for patients with gastrointestinal cancers, using both retrospective and prospective data.
The medical records of over 1,200 patients with gastrointestinal cancers will be collected retrospectively from participating hospitals. This data will be split into an exploratory dataset (n=200) and a validation dataset (n\>=1,000). Within the exploratory dataset, various prompt methods will be used to determine the treatment plans suggested by ChatGPT. Additionally, several clinicians of varied seniority levels will provide their treatment recommendations. For the validation dataset, ChatGPT's suggestions for treatment plans will undergo both qualitative and quantitative assessments by a multidisciplinary consultation (MDT) team. The recommendations from ChatGPT will then be compared with those from the clinicians. Furthermore, this study will incorporate a prospective dataset comprising 400 participants with gastrointestinal cancers. The participants will be randomly allocated to either a control group (n=200) or a ChatGPT-Assisted group (n=200). In the control group, treatment plan recommendations will solely be provided by the clinicians and will guide subsequent treatments. In the ChatGPT-Assisted group, initial treatment plan recommendations will be independently proposed by both ChatGPT and the clinicians. Based on ChatGPT's suggestions, clinicians might selectively adjust their initial plans. Participants will then receive treatments as per these refined plans. Within the ChatGPT-Assisted group, the treatment plans of the initial 100 participants will be evaluated to determine the percentage of patients whose treatment plans are influenced by ChatGPT. Subsequently, the proportion of participants in the entire ChatGPT-Assisted group with treatment plans modified by ChatGPT will be calculated. The study will further monitor the 3-year progression-free survival (PFS) and the 5-year overall survival (OS) rates, contrasting the outcomes between the control and ChatGPT-assisted groups.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
SINGLE
Enrollment
400
In this approach, clinicians do not employ any technological assistance and rely solely on their professional expertise and experience to formulate treatment plans for participants.
In this approach, clinicians utilize the ChatGPT technological tool, formulating treatment plans for participants based on its suggestions and their own professional expertise.
City of Hope
Duarte, California, United States
NOT_YET_RECRUITINGJiangmen Central Hospital
Jiangmen, Guangdong, China
RECRUITINGThe Fifth Affiliated Hospital of Sun Yat-sen University
Zhuhai, Guangdong, China
Influence Rate of ChatGPT on Treatment Plans
The percentage of the initial 100 participants and the overall participants in the ChatGPT-Assisted group whose treatment plans are adjusted by clinicians after consulting with ChatGPT.
Time frame: Within 24 hours after the treatment plan is determined from the onset of study participation.
3-year Progression-Free Survival (PFS) Rate
Percentage of participants without disease progression over a period of 3 years from the start of treatment.
Time frame: 3 years
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Zhuhai People's Hospital
Zhuhai, Guangdong, China
RECRUITINGPeking University Cancer Hospital (Inner Mongolia Campus)
Hohhot, Inner Mongolia, China
RECRUITINGUniversity Hospital Magdeburg
Magdeburg, Saxony-Anhalt, Germany
NOT_YET_RECRUITINGSan Raffaele University Hospital, Italy
Milan, Italy
NOT_YET_RECRUITING