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Surgery – Challenge – Prosthetics Implants
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Prosthetics and Implant Design:
Designing personalized implants and prosthetics involves extensive manual work. Generative AI can automate design, creating more accurate and tailored solutions quickly.

AI can generate personalized implant designs by analyzing patient anatomy and surgical requirements. This leads to more precise and comfortable implants that better meet the unique needs of each patient.

Data Sources: Patient measurements, EHRs.
Image Sources: Imaging studies, 3D scans.
Document Sources: Design specifications, medical device guidelines.

Steps:
Extract detailed measurements from imaging studies.
Use AI to design custom implants or prosthetics based on patient anatomy.
Validate the design through simulations and regulatory guidelines.
Produce the custom implant or prosthetic using advanced manufacturing.
  • Scenario: A patient needs a custom hip implant.
  • Data Sources: Patient measurements, medical history.
  • Image Sources: CT scans and 3D models of the hip.
  • Document Sources: Implant design specifications, medical device guidelines.
  • AI Solution: The AI system uses the imaging data to design a custom implant tailored to the patient's anatomy. The design is simulated to ensure fit and functionality before manufacturing, using advanced 3D printing.

Step 1: Collect detailed imaging data of the patient’s anatomy.
Step 2: Use generative AI to design personalized implants or prosthetics.
Step 3: Simulate the design in a virtual environment to test fit and functionality.
Step 4: Produce the implant using advanced manufacturing techniques, like 3D printing.