Actively Recruiting
Observational Study on AI Accuracy in Diagnosing and Treating Failed or Painful Hip Arthroplasty
Led by Istituto Ortopedico Rizzoli · Updated on 2025-06-18
20
Participants Needed
1
Research Sites
4 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
Primary Goal: This study aims to evaluate the diagnostic and therapeutic accuracy of GPT-4 (an advanced AI language model) compared to three orthopedic surgeons with varying experience levels in cases of failed or painful total hip arthroplasty. Key Research Questions: Diagnostic Accuracy: Does GPT-4 provide correct, partially correct, or incorrect diagnoses compared to human orthopaedic surgeons? Diagnostic Completeness: Are GPT-4's diagnostic suggestions complete, partially complete, or incomplete compared to those of orthopedic surgeons? Treatment Accuracy: Does GPT-4 recommend correct, partially correct, or incorrect treatments for failed hip arthroplasty? Treatment Completeness: Are GPT-4's treatment recommendations fully comprehensive, partially complete, or incomplete compared to those of orthopaedic surgeon? Study Design: Participants: 20 anonymized patient cases (ages 18-80) with failed or painful hip arthroplasties, treated at IRCCS Istituto Ortopedico Rizzoli (Bologna, Italy) between 2004-2024. Cases were selected based on clear diagnostic and treatment records (no ambiguous or incomplete data). Comparison Groups: GPT-4 (via ChatGPT interface) Three orthopedic doctors (with different experience levels: resident, specialist, senior surgeon) Method: Each case (clinical summary + X-ray image) is presented to GPT-4 and the three doctors. They must provide a diagnosis and treatment recommendations. Two independent evaluators (principal investigator + department head) blindly assess responses for correctness and completeness using a 3-point scale (0=wrong/incomplete, 2=correct/complete). Statistical analysis compares GPT-4 vs. human performance. Expected Outcomes: Determine if AI can match or outperform doctors in diagnosing and treating hip arthroplasty failures. Assess whether GPT-4 could serve as a supplementary tool in orthopedic decision-making. Ethical \& Privacy Considerations: No real-time patient data is used-only anonymized past cases. No personal/sensitive data is shared with OpenAI (GPT-4 is used via a standard web interface). Study complies with GDPR, HIPAA, and ethical AI guidelines. Timeline: Study duration: \~8 months (from ethics approval to final analysis). Results will be published regardless of outcome. Why This Study Matters: First study evaluating GPT-4's role in complex orthopedic diagnostics. Could influence future AI-assisted clinical decision-making in joint replacement surgeries.
CONDITIONS
Official Title
Observational Study on AI Accuracy in Diagnosing and Treating Failed or Painful Hip Arthroplasty
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Adults aged 18 to 80 years
- Documented painful or failed total hip arthroplasty needing clinical and radiological evaluation between 2004 and 2024
- Complete pre-operative clinical history, imaging (X-ray or tomography), and surgical reports available
- Clear diagnosis of failure mode such as aseptic loosening, infection, fracture, or wear
- Treatment and outcomes fully recorded in the institutional database
- Cases with minimal diagnostic ambiguity according to established criteria
You will not qualify if you...
- Total hip arthroplasty cases without documented failure or pain (well-functioning implants)
- Incomplete clinical or radiological records, such as missing pre-operative imaging or surgical notes
- Complex or multifactorial failures involving multiple issues like infection combined with loosening and fracture
- Radiographs or images of poor quality or missing views that cannot be interpreted
- Cases with conflicting diagnoses or treatments in the original medical records
AI-Screening
AI-Powered Screening
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Trial Site Locations
Total: 1 location
1
SC Ortopedia e Traumatologia e Chirurgia Protesica e dei Reimpianti di Anca e Ginocchio, IRCCS Istituto Ortopedico Rizzoli
Bologna, Italy, 40136
Actively Recruiting
Research Team
F
Francesco Castagnini, MD
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
1
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