The use of artificial intelligence and wearable devices in enhanced recovery after surgery pathways following radical cystectomy: A systematic review
9 affiliations
- 1Department of Urology, Hertfordshire and Bedfordshire Urological Cancer Centre, Lister Hospital, East and North Hertfordshire NHS Trust, United Kingdom
- 2School of Clinical Medicine, University of Cambridge, United Kingdom
- 3Department of Surgery, Chesterfield Royal Hospital NHS Foundation Trust, United Kingdom
- 4University College London Medical School, University College London, United Kingdom
- 5Department of Urology, The James Cook University Hospital, United Kingdom
- 6Department of Targeted Intervention, Division of Surgery and Interventional Science, University College London, United Kingdom
- 7Division of Clinical Medicine, School of Medicine & Population Health, University of Sheffield, United Kingdom
- 8Department of Urology, Asian institute of Nephrology and Urology, India
- 9Hertfordshire Medical School, University of Hertfordshire, United Kingdom
Abstract
Objective: Radical cystectomy is associated with relatively high rates of 90-day complications (58%–66%) and readmission (40%). The increasing availability of wearable devices, such as Fitbit devices, Misfit trackers and SenseWear armbands, may offer opportunities to improve postoperative outcomes. This review aimed to explore the roles of wearable devices and artificial intelligence in the perioperative care of patients undergoing radical cystectomy.
Methods: A systematic review (PROSPERO: CRD420261279062) was conducted to investigate the role of wearable devices and artificial intelligence in enhanced recovery protocols following radical cystectomy. A total of 1031 studies were identified from 5 databases, of which 42 underwent full-text screening. Following final eligibility assessment, eight studies were included in the systematic review. Extracted postoperative outcomes included step count, length of stay, readmission, discharge location, body mass index, functional measures and postoperative complications.
Results: Seven studies investigated wearable devices, whereas one study examined the use of artificial intelligence to assess the association between body composition and postoperative complications. Preliminary evidence suggested that wearable devices improve postoperative physical activity and step counts; however, the significance of these associations varied substantially across studies. Evidence regarding artificial intelligence was limited to preoperative planning but indicated potential for identifying patients at high or low risk of complications following radical cystectomy.
Conclusions: Preliminary evidence suggests that wearable devices and artificial intelligence provide useful information to support postoperative recovery. However, the limited number of studies precludes firm conclusions. Randomised trials using standardised parameters are needed to establish the roles of wearable devices and artificial intelligence before their clinical integration into established enhanced recovery after surgery protocols.
Related
- Does Timing Matter? Perioperative Outcomes and Quality of Life After Early Versus Delayed Radical Cystectomy Following BCG Therapy
- Generative Artificial Intelligence Models in Breast Cancer Diagnosis: A Systematic Review
- Utility of Artificial Intelligence in Detecting Lymph Node Metastasis in Oral Cancer: A Systematic Review
- External validation of artificial intelligence-guided electrocardiogram (AI-ECG) in detecting asymptomatic left ventricular dysfunction: A systematic review and meta-analysis
- Artificial intelligence-based tongue image analysis for non-invasive screening of gastric cancer, precancerous lesions, and related gastrointestinal disorders: a systematic review
BibTeX
@article{feyissa2026artificial,
title = {{The use of artificial intelligence and wearable devices in enhanced recovery after surgery pathways following radical cystectomy: A systematic review}},
author = {Matthew Feyissa and Yama Baheer and Buraq Ahmed and Natacha Rosa and Shiv Dubey and Karthig Thillaivasan and Yiannis Philippou and Rakan Odeh and Muheilan Muheilan and Pramit Khetrapal and James WF Catto and John D Kelly and Mallikarjuna Chiruvella and Nikhil Vasdev},
journal = {The Journal of International Medical Research},
year = {2026},
month = sep,
doi = {10.1177/03000605261485388},
url = {https://doi.org/10.1177/03000605261485388},
note = {CC BY-NC 4.0},
}
RIS
TY - JOUR
TI - The use of artificial intelligence and wearable devices in enhanced recovery after surgery pathways following radical cystectomy: A systematic review
AU - Matthew Feyissa
AU - Yama Baheer
AU - Buraq Ahmed
AU - Natacha Rosa
AU - Shiv Dubey
AU - Karthig Thillaivasan
AU - Yiannis Philippou
AU - Rakan Odeh
AU - Muheilan Muheilan
AU - Pramit Khetrapal
AU - James WF Catto
AU - John D Kelly
AU - Mallikarjuna Chiruvella
AU - Nikhil Vasdev
PY - 2026
DA - 2026/09/16
JO - The Journal of International Medical Research
DO - 10.1177/03000605261485388
UR - https://doi.org/10.1177/03000605261485388
AB - Objective: Radical cystectomy is associated with relatively high rates of 90-day complications (58%–66%) and readmission (40%). The increasing availability of wearable devices, such as Fitbit devices, Misfit trackers and SenseWear armbands, may offer opportunities to improve postoperative outcomes. This review aimed to explore the roles of wearable devices and artificial intelligence in the perioperative care of patients undergoing radical cystectomy. Methods: A systematic review (PROSPERO: CRD420261279062) was conducted to investigate the role of wearable devices and artificial intelligence in enhanced recovery protocols following radical cystectomy. A total of 1031 studies were identified from 5 databases, of which 42 underwent full-text screening. Following final eligibility assessment, eight studies were included in the systematic review. Extracted postoperative outcomes included step count, length of stay, readmission, discharge location, body mass index, functional measures and postoperative complications. Results: Seven studies investigated wearable devices, whereas one study examined the use of artificial intelligence to assess the association between body composition and postoperative complications. Preliminary evidence suggested that wearable devices improve postoperative physical activity and step counts; however, the significance of these associations varied substantially across studies. Evidence regarding artificial intelligence was limited to preoperative planning but indicated potential for identifying patients at high or low risk of complications following radical cystectomy. Conclusions: Preliminary evidence suggests that wearable devices and artificial intelligence provide useful information to support postoperative recovery. However, the limited number of studies precludes firm conclusions. Randomised trials using standardised parameters are needed to establish the roles of wearable devices and artificial intelligence before their clinical integration into established enhanced recovery after surgery protocols.
SN - 0300-0605
SN - 1473-2300
ER -