Artificial Intelligence-assisted Ultrasound Diagnosis of Musculoskeletal Injuries. (ECO-IA)

November 6, 2026 updated by: Jorge Velazquez, Universidad Pontificia de Salamanca

Artificial Intelligence-assisted Ultrasound Diagnosis of Musculoskeletal Injuries for Physiotherapy, Traumatology and Orthopaedic Practice (ECO-IA).

The proposal combines clinical research in physiotherapy, traumatology and orthopaedics with artificial intelligence, computer vision and health-data science.

Study Overview

Status

Not yet recruiting

Conditions

Detailed Description

ECO-IA is submitted as an individual research project under the "Non-oriented research" modality. The project addresses a relevant gap in clinical musculoskeletal care: ultrasound is widely available, safe, radiation-free and useful for the assessment of tendons, muscles, ligaments and joints, but its diagnostic value depends strongly on operator training, image-acquisition protocol and interpretative experience.

The proposal combines clinical research in physiotherapy, traumatology and orthopaedics with artificial intelligence, computer vision and health-data science. It aims to develop, validate and prepare for clinical translation an AI-based decision-support system capable of assisting healthcare professionals in the identification and characterisation of common musculoskeletal injuries from ultrasound images. This is consistent with the purpose of the call: generating new knowledge while creating opportunities for predoctoral research training.

Study Type

Observational

Enrollment (Estimated)

80

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

    • Salamanca
      • Salamanca, Salamanca, Spain, 37002
        • Universidad Pontificia de Salamanca
        • Contact:
          • Jorge Velázquez Saornil, PhD.
          • Phone Number: 923277100

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years to 70 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

Patients with musculoskeletal pain affecting tendons, muscles, ligaments or bursae

Description

Inclusion Criteria:

  • Patients with musculoskeletal pain affecting tendons, muscles, ligaments or bursae

Exclusion Criteria:

  • Patients with severe, acute pain consistent with an open fracture; surgical procedures in the area under examination and diagnosis. Uncooperative patients who do not sign the informed consent form.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: COHORT
  • Time Perspectives: CROSS_SECTIONAL

Cohorts and Interventions

Group / Cohort
IA Group

Diagnosis by IA

Medical Expert Group

Diagnosis by a medical expert

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Diagnostic imaging
Time Frame: 1 day

Ability to carry out a medical diagnosis based on imaging findings

1 day

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Investigators

  • Principal Investigator: Jorge Velázquez Saornil, Principal investigator, Universidad Pontíficia de Salamanca

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

November 25, 2027

Primary Completion (Estimated)

January 10, 2028

Study Completion (Estimated)

December 15, 2030

Study Registration Dates

First Submitted

November 6, 2026

First Submitted That Met QC Criteria

November 6, 2026

First Posted (Actual)

November 13, 2026

Study Record Updates

Last Update Posted (Actual)

November 13, 2026

Last Update Submitted That Met QC Criteria

November 6, 2026

Last Verified

November 1, 2026

More Information

Terms related to this study

Other Study ID Numbers

  • UPSA05112026

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.