An Artificial Intelligence Driven Approach to Optimize Patient Selection for a Transitional Pain Service
An Artificial Intelligence Driven Approach to Optimize Patient Selection for a Transitional Pain Service
Not yet recruiting · NCT07296770 · Registry updated 2026-10-09Clinical trials
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| Trial | Conditions | Status | Phase | Updated | More info | NCT ID |
|---|---|---|---|---|---|---|
| An Artificial Intelligence Driven Approach to Optimize Patient Selection for a Transitional Pain Service | Chronic Postoperative Pain, Neurologic Manifestations, Pain, Pathologic Processes, Pathological Conditions, Signs and Symptoms, Postoperative Complications, Postoperative Pain, Signs and Symptoms | Not yet recruiting | Phase 3 | 2026-10-09 | NCT07296770 |
1 results · Page 1 of 1
Organizations
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| Organizations | Linked trials |
|---|---|
| University of California, San Francisco | 637 |
1 results · Page 1 of 1
Research sites
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| Research sites | City | Country | Linked trials |
|---|---|---|---|
| UCSF Hospitals | San Francisco | United States | 1 |