{
  "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.\n\nMethods: 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.\n\nResults: 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.\n\nConclusions: 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.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Urology, Hertfordshire and Bedfordshire Urological Cancer Centre, Lister Hospital, East and North Hertfordshire NHS Trust, United Kingdom",
    "School of Clinical Medicine, University of Cambridge, United Kingdom",
    "Department of Surgery, Chesterfield Royal Hospital NHS Foundation Trust, United Kingdom",
    "University College London Medical School, University College London, United Kingdom",
    "Department of Urology, The James Cook University Hospital, United Kingdom",
    "Department of Targeted Intervention, Division of Surgery and Interventional Science, University College London, United Kingdom",
    "Division of Clinical Medicine, School of Medicine & Population Health, University of Sheffield, United Kingdom",
    "Department of Urology, Asian institute of Nephrology and Urology, India",
    "Hertfordshire Medical School, University of Hertfordshire, United Kingdom"
  ],
  "article_type": "review article",
  "arxiv": null,
  "author_total": 14,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Matthew Feyissa",
      "orcid": "0009-0001-2135-3169"
    },
    {
      "affs": [
        0
      ],
      "name": "Yama Baheer"
    },
    {
      "affs": [
        1
      ],
      "name": "Buraq Ahmed",
      "orcid": "0009-0001-4351-9510"
    },
    {
      "affs": [
        0
      ],
      "name": "Natacha Rosa"
    },
    {
      "affs": [
        2
      ],
      "name": "Shiv Dubey"
    },
    {
      "affs": [
        3
      ],
      "name": "Karthig Thillaivasan"
    },
    {
      "affs": [
        0
      ],
      "name": "Yiannis Philippou"
    },
    {
      "affs": [
        0
      ],
      "name": "Rakan Odeh"
    },
    {
      "affs": [
        4
      ],
      "name": "Muheilan Muheilan"
    },
    {
      "affs": [
        5
      ],
      "name": "Pramit Khetrapal"
    },
    {
      "affs": [
        6
      ],
      "name": "James WF Catto"
    },
    {
      "affs": [
        5
      ],
      "name": "John D Kelly"
    },
    {
      "affs": [
        7
      ],
      "name": "Mallikarjuna Chiruvella"
    },
    {
      "affs": [
        0,
        8
      ],
      "name": "Nikhil Vasdev"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/22pzzte75db7t.bib",
  "cited_by": 0,
  "doi": "10.1177/03000605261485388",
  "fulltext_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13724876/",
  "id": "22pzzte75db7t",
  "issns": [
    "0300-0605",
    "1473-2300"
  ],
  "landing_url": "https://doi.org/10.1177/03000605261485388",
  "language": "en",
  "licence": "CC-BY-NC-4.0",
  "licence_label": "CC BY-NC 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "Meta-Analysis and Systematic Review"
    ],
    [
      "openalex",
      "2746|Enhanced Recovery After Surgery"
    ]
  ],
  "openalex": "W7213471101",
  "pdf_url": null,
  "pmcid": "PMC13724876",
  "pmid": "42750161",
  "published": "2026-09-16",
  "publisher": "SAGE Publications",
  "ris": "https://research.draconitic.com/paper/22pzzte75db7t.ris",
  "sources": [
    {
      "first_seen": "2026-11-04T12:23:22Z",
      "native_id": "PMC13724876",
      "source": "pmc",
      "url": "https://doi.org/10.1177/03000605261485388"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2746|Enhanced Recovery After Surgery",
      "subfield": "surgery"
    }
  ],
  "title": "The use of artificial intelligence and wearable devices in enhanced recovery after surgery pathways following radical cystectomy: A systematic review",
  "title_text": "The use of artificial intelligence and wearable devices in enhanced recovery after surgery pathways following radical cystectomy: A systematic review",
  "type": "peer-reviewed",
  "updated_at": "2026-11-05T12:21:34Z",
  "url": "https://research.draconitic.com/paper/22pzzte75db7t",
  "venue": "The Journal of International Medical Research",
  "versions": []
}