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AI Engineering
Hacker News·Jun 28·5 min read
I used Claude Code to get a second opinion on my MRI
TL;DR
After experiencing shoulder pain, I sought a second opinion on my MRI results, which indicated a significant tendon tear. I utilized Opus 4.8, an AI tool, to analyze the MRI findings and provide insights.
✦ Why It Matters
Engineers and researchers can explore AI's role in enhancing diagnostic accuracy and patient care in medical settings.
Key Takeaways
- Consider AI tools for second opinions in medical diagnoses.
- Evaluate treatment recommendations critically, especially after initial assessments.
- Document all medical findings for comprehensive analysis.
- Stay informed about advancements in AI applications in healthcare.
Full Summary
Experiencing persistent shoulder pain led to an MRI, which revealed a Grade III partial-thickness tear in the subscapularis tendon, a critical component of shoulder stability. Unsatisfied with the immediate treatment recommendations, I decided to seek a second opinion using Opus 4.8, an AI tool designed to analyze medical imaging.
I submitted the MRI results and treatment details to the AI, which quickly identified discrepancies in the initial assessment. Opus flagged two significant issues, suggesting that the proposed treatment might be overly aggressive.
This prompted me to reevaluate the necessity of the recommended interventions. The findings highlight the potential of AI in providing additional insights into medical diagnoses, which could lead to more informed patient decisions.
For engineers and researchers, this case illustrates the practical application of AI in healthcare diagnostics.