RARPKB: A knowledge-guide decision support platform for personalized robot-assisted surgery in prostate cancer

Jiakun Li; Tong Tang; Erman Wu; Jing Zhao; Hui Zong; Rongrong Wu; Weizhe Feng; Ke Zhang; Dongyue Wang; Yawen Qin; Zheng Shen; Yi Qin; Shumin Ren; Chaoying Zhan; Lu Yang; Qiang Wei; Bairong Shen

doi:10.1097/JS9.0000000000001290

RARPKB: A knowledge-guide decision support platform for personalized robot-assisted surgery in prostate cancer

Int J Surg. 2024 Mar 18. doi: 10.1097/JS9.0000000000001290. Online ahead of print.

Authors

Jiakun Li^{1

2}, Tong Tang^{2

3}, Erman Wu², Jing Zhao², Hui Zong², Rongrong Wu², Weizhe Feng², Ke Zhang^{2

4}, Dongyue Wang⁵, Yawen Qin⁶, Zheng Shen⁷, Yi Qin², Shumin Ren^{2

3}, Chaoying Zhan², Lu Yang¹, Qiang Wei¹, Bairong Shen²

Affiliations

¹ Department of Urology, West China Hospital, Sichuan University, Chengdu, China.
² Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
³ Department of Computer Science and Information Technologies, Elviña Campus, University of A Coruña, A Coruña, Spain.
⁴ Chengdu Aixam Medical Technology Co., Ltd, Chengdu, China.
⁵ Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, China.
⁶ Clinical Medical College, Southwest Medical University, Luzhou, Sichuan Province, China.
⁷ Soochow University, Suzhou, China.

PMID: 38498357
DOI: 10.1097/JS9.0000000000001290

Abstract

Background: Robot-assisted radical prostatectomy (RARP) has emerged as a pivotal surgical intervention for the treatment of prostate cancer. However, the complexity of clinical cases, heterogeneity of prostate cancer, and limitations in physician expertise pose challenges to rational decision-making in RARP. To address these challenges, we aimed to organize the knowledge of previously complex cohorts and establish an online platform named the RARP Knowledge Base (RARPKB) to provide reference evidence for personalized treatment plans.

Materials and methods: PubMed searches over the past two decades were conducted to identify publications describing RARP. We collected, classified, and structured surgical details, patient information, surgical data, and various statistical results from the literature. A knowledge-guided decision-support tool was established using MySQL, DataTable, ECharts, and JavaScript. ChatGPT-4 and two assessment scales were used to validate and compare the platform.

Results: The platform comprised 583 studies, 1589 cohorts, 1 911 968 patients, and 11 986 records, resulting in 54 834 data entries. The knowledge-guided decision support tool provide personalized surgical plan recommendations and potential complications on the basis of patients' baseline and surgical information. Compared with ChatGPT-4, RARPKB outperformed in authenticity (100% versus [vs.] 73%), matching (100% vs. 53%), personalized recommendations (100% vs. 20%), matching of patients (100% vs. 0%), and personalized recommendations for complications (100% vs. 20%). Post-use, the average System Usability Scale score was 88.88±15.03, and the Net Promoter Score of RARPKB was 85. The knowledge base is available at http://rarpkb.bioinf.org.cn.

Conclusions: We introduced the pioneering RARPKB, the first knowledge base for robot-assisted surgery, with an emphasis on prostate cancer. RARPKB can assist in personalized and complex surgical planning for prostate cancer to improve its efficacy. RARPKB provides a reference for the future applications of artificial intelligence in clinical practice.