Telemedicine Applications for Cancer Rehabilitation: Scoping Review.
Patricia Goncalves Leite RoccoChristian Mahony Reátegui-RiveraJoseph FinkelsteinPublished in: JMIR cancer (2024)
Telerehabilitation for patients with cancer is beneficial and feasible, with diverse approaches in study design, technologies, exercises, and outcomes. Future research should focus on developing standardized methodologies, incorporating objective measures, and exploring emerging technologies like virtual reality, wearable or noncontact sensors, and artificial intelligence to optimize telerehabilitation interventions. Addressing these areas can enhance clinical practice and improve outcomes for remote rehabilitation with patients.
Keyphrases
- artificial intelligence
- virtual reality
- machine learning
- clinical practice
- end stage renal disease
- big data
- deep learning
- ejection fraction
- newly diagnosed
- physical activity
- papillary thyroid
- prognostic factors
- peritoneal dialysis
- heart rate
- blood pressure
- metabolic syndrome
- young adults
- body composition
- patient reported
- high intensity
- skeletal muscle
- childhood cancer
- lymph node metastasis