ClinicalTrials.gov
public full text
Public Domain
Tele-homecare Service for Diabetic Foot Patients (Risk 0, Risk 1 and Risk 2 Level): Testing and Validation of Dedicated APPs and Artificial Intelligence Solutions
MY FOOT project aims at filling the gap in mobile applications by providing evidence to both involved stakeholders, that is the remote assistance from the hospital and the patient, who is directly involved in their own care strategy. In particular, the application has to motivate patients and engage them in their self-care. Interaction with the mobile phone application is in the following terms: APP elaborates data input from the patient in terms of own feeling of health status, symptoms revealed along the day, events eventually occurred, photos of the foot, including ulcer zoom (if any), APP reports back about increase / decrease in the Risk Level graph through time, maps the ulcer evolution or healing based on photos elaboration, using adequate graphs reporting time in the main axis, whilst reminds personal goals to enact care on a regular basis on the basis of the current conditions, eventually alerts the patient to contact clinicians for a visual inspection at a hospital.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Mobile based expert application for the early detection of diabetes in Kenya#938801
- Creating Linked Inpatient CGM for Kids#904671
- Assessment of a Health Informatics System on Insulin-treated Diabetic Patients#968164
- Clinical Validation of AI-Based System for Continuous Remote Monitoring of Patient Severity - Experts' Opinion#898802
- Facilitating Assessment of At-Risk Sailors Using Technology#906758
Record · ID 885016
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive