Assessing cancer pain using machine learning and telemedicine

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study focuses on improving pain management in cancer patients through the integration of telemedicine and machine learning. Patients diagnosed with advanced cancer will be monitored at home by the Early Palliative Care team, utilizing various clinical assessment tools and a mobile application for data collection. The study aims to develop algorithms for automatic pain recognition, enhancing the quality of life and treatment adherence for patients experiencing cancer pain. The project is structured into three work packages, including IT infrastructure development, patient data collection, and algorithm development.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* Patients aged \> 18 years
* Home care patients diagnosed with advanced cancer disease and life expectancy ≤ 1 year
* Patients receiving treatment for cancer pain
* Patients who have given their consent

Exclusion Criteria:

* Patients aged \< 18 years
* Willingness to sign the informed consent form (unable to read or write)
* Cognitive deficit (e.g. Alzheimer disease or senile dementia)

Where it's running

• National Cancer Institute of Naples
  Naples, Campania, Italy Recruiting
• A.O.U. Federico II
  Naples, Campania, Italy Not yet recruiting

Study contacts

• Principal investigator: Marco Cascella, MD — Anesthesia and Pain Medicine. Istituto Nazionale Tumori - IRCCS Fondazione Pascale - Napoli, Italy
• Study coordinator: Marco Cascella, MD
• Email: m.cascella@istitutotumori.na.it
• Phone: +39 0815903508

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Other studies for the same condition or treatment. Recruiting studies are listed first.

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.