Clinical Scorecard: Analysis of Bibliometric Trends in the Use of Artificial Intelligence in Gastrointestinal Surgery Over the Past Decade
At a Glance
Category
Detail
Condition
Gastrointestinal surgical diseases including colorectal and gastric cancers
Key Mechanisms
Application of artificial intelligence (AI) technologies such as deep learning and convolutional neural networks to improve diagnosis, surgical assistance, and risk prediction
Target Population
Patients undergoing gastrointestinal surgery, particularly colorectal and gastric cancer surgeries
Care Setting
Surgical and perioperative care settings including minimally invasive and robotic-assisted surgery environments
Key Highlights
Minimally invasive and robotic surgeries have improved patient outcomes by reducing incision size, postoperative pain, infection risk, and hospital stay duration.
AI enhances diagnostic accuracy in gastrointestinal endoscopy and endoscopic ultrasound, improving lesion detection and assessment.
Bibliometric analysis reveals growing research interest and identifies hotspots and future trends in AI applications within gastrointestinal surgery.
Guideline-Based Recommendations
Diagnosis
Utilize AI-driven deep learning algorithms to improve diagnostic accuracy of gastrointestinal endoscopic lesions.
Incorporate AI to increase sensitivity and accuracy of endoscopic ultrasound evaluations.
Management
Adopt minimally invasive and robotic-assisted surgical techniques enhanced by AI for improved surgical precision and safety.
Implement Enhanced Recovery After Surgery (ERAS) protocols as preferred postoperative treatment strategies in colorectal surgery.
Monitoring & Follow-up
Leverage AI for personalized prediction of postoperative complications and recurrence risk to guide perioperative management.
Risks
Recognize that preoperative diagnostics are subject to clinician expertise and potential biases, which AI can help mitigate.
Ensure comprehensive and scientifically informed integration of AI tools to avoid overreliance on technology without clinical context.
Patient & Prescribing Data
Patients undergoing gastrointestinal surgeries, especially for colorectal and gastric cancers
AI-assisted surgical systems like the da Vinci robot improve surgical completion rates and reduce conversion to open surgery, enhancing patient safety and recovery.
Clinical Best Practices
Combine AI technologies with established surgical techniques to optimize diagnostic and therapeutic outcomes.
Maintain multidisciplinary collaboration to integrate AI insights with clinical expertise throughout the perioperative period.
Use bibliometric data to stay informed on emerging AI research trends and evidence-based applications in gastrointestinal surgery.
