Background: As the population ages, more older adults are presenting for surgery. Age-related declines in physiological reserve and functional capacity can result in frailty and poor outcomes after surgery. Hence, optimizing perioperative care in older patients is imperative. Enhanced Recovery After Surgery (ERAS) pathways and Minimally Invasive Surgery (MIS) may influence surgical outcomes, but current use and impact on older adults patients is unknown. The aim of this study was to provide evidence-based recommendations on perioperative care of older adults undergoing major abdominal surgery. Methods: Expert consensus determined working definitions for key terms and metrics related to perioperative care. A systematic literature review and meta-analysis was performed using the PubMed, Embase, Cochrane Library, and Clinicaltrials.gov databases for 24 pre-defined key questions in the topic areas of prehabilitation, MIS, and ERAS in major abdominal surgery (colorectal, upper gastrointestinal (UGI), Hernia, and hepatopancreatic biliary (HPB)) to generate evidence-based recommendations following the GRADE methodology. Result: Older adults were defined as 65 years and older. Over 20,000 articles were initially retrieved from search parameters. Evidence synthesis was performed across the three topic areas from 172 studies, with meta-analyses conducted for MIS and ERAS topics. The use of MIS and ERAS was recommended for older adult patients particularly when undergoing colorectal surgery. Expert opinion recommended prehabilitation, cessation of smoking and alcohol, and correction of anemia in all colorectal, UGI, Hernia, and HPB procedures in older adults. All recommendations were conditional, with low to very low certainty of evidence, with the exception of ERAS program in colorectal surgery. Conclusions: MIS and ERAS are recommended in older adults undergoing major abdominal surgery, with evidence supporting use in colorectal surgery. Though expert opinion supported prehabilitation, there is insufficient evidence supporting use. This work has identified evidence gaps for further studies to optimize older adults undergoing major abdominal surgery.

Artificial intelligence (AI) is rapidly reshaping gastrointestinal (GI) surgery by enhancing decision-making, intraoperative performance, and postoperative management. The integration of AI-driven systems is enabling more precise, data-informed, and personalized surgical interventions. This review provides a state-of-the-art overview of AI applications in GI surgery, organized into four key domains: surgical simulation, surgical computer vision, surgical data science, and surgical robot autonomy. A comprehensive narrative review of the literature was conducted, identifying relevant studies of technological developments in this field. In the domain of surgical simulation, AI enables virtual surgical planning and patient-specific digital twins for training and preoperative strategy. Surgical computer vision leverages AI to improve intraoperative scene understanding, anatomical segmentation, and workflow recognition. Surgical data science translates multimodal surgical data into predictive analytics and real-time decision support, enhancing safety and efficiency. Finally, surgical robot autonomy explores the progressive integration of AI for intelligent assistance and autonomous functions to augment human performance in minimally invasive and robotic procedures. Surgical AI has demonstrated significant potential across different domains, fostering precision, reproducibility, and personalization in GI surgery. Nevertheless, challenges remain in data quality, model generalizability, ethical governance, and clinical validation. Continued interdisciplinary collaboration will be crucial to translating AI from promising prototypes to routine, safe, and equitable surgical practice.