The future of robotic surgery for inflammatory bowel diseases

Gul, Fahad; Kazmi, Syed Naqash Haider; Abbas, Khawar; Saeed, Sajeel; Basit, Jawad

doi:10.1016/j.amsu.2022.104476

Cited by 1 publication

(2 citation statements)

References 7 publications

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“…Currently, robotic surgery is becoming an efficient and precise complement to, and potentially a future replacement for, minimally invasive surgery. There is growing evidence indicating that surgical robots have significant advantages over minimally invasive techniques such as laparoscopic surgery, including better patient safety, reduced surgical complications, and shortened prognosis [ 34 ]. In 2020, Hota et al investigated the differences in perioperative and treatment outcomes between open, laparoscopic, and robotic surgeries for treating CD [ 35 ].…”

Section: Ai In the Treatment Of Ibdmentioning

confidence: 99%

“…They selected a database containing data from 5,158 patients with CD, utilized Convolutional point transformer (CPT) codes to determine the procedures used for patient ileal resection, compared the incidence of anastomotic fistula between the three surgical approaches, and applied multivariate analysis to derive a 95% confidence interval for the dominance ratio. They found that robotic surgery was a non-inferior treatment for both colonic resection in UC recipients and ileostomy in CD patients [ 34 , 35 ].…”

Section: Ai In the Treatment Of Ibdmentioning

confidence: 99%

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Artificial Intelligence in Inflammatory Bowel Disease Endoscopy: Advanced Development and New Horizons

Chang

Wang

Sun

et al. 2023

Gastroenterology Research and Practice

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Inflammatory bowel disease (IBD) is a complex chronic immune disease with two subtypes: Crohn’s disease and ulcerative colitis. Considering the differences in pathogenesis, etiology, clinical presentation, and response to therapy among patients, gastroenterologists mainly rely on endoscopy to diagnose and treat IBD during clinical practice. However, as exemplified by the increasingly comprehensive ulcerative colitis endoscopic scoring system, the endoscopic diagnosis, evaluation, and treatment of IBD still rely on the subjective manipulation and judgment of endoscopists. In recent years, the use of artificial intelligence (AI) has grown substantially in various medical fields, and an increasing number of studies have investigated the use of this emerging technology in the field of gastroenterology. Clinical applications of AI have focused on IBD pathogenesis, etiology, diagnosis, and patient prognosis. Large-scale datasets offer tremendous utility in the development of novel tools to address the unmet clinical and practice needs for treating patients with IBD. However, significant differences among AI methodologies, datasets, and clinical findings limit the incorporation of AI technology into clinical practice. In this review, we discuss practical AI applications in the diagnosis of IBD via gastroenteroscopy and speculate regarding a future in which AI technology provides value for the diagnosis and treatment of IBD patients.

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Section: Ai In the Treatment Of Ibdmentioning

confidence: 99%

Section: Ai In the Treatment Of Ibdmentioning

confidence: 99%