3D Printing for Medical Imaging

I attended an event about 3D printing for medical applications. Here are some surprising insights.
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1 - You can use 3D printers to print fully ready implants for dentistry. This has reduced the time to create such implants by an order of magnitude.
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2 - 3D printers specialized for medical use cases have had a drop in price by an order of magnitude compared to 10 or 15 years ago.
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3 - Some 3D printers can print objects with different levels and different stages of materials. For example, you can 3D print a human-like leg where in the middle you'd have a bone-like structure, above it meat-like structure and on the top skin-like structure.
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4 - Dentists and prosthetists are all agreeing that 3D printing is becoming an integral part of their workflows for dental implantology.
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Now, to get to 3D printing you'd first need a 3D surface object of the anatomical structure that you want to print.
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This is where AI and machine learning come to the picture.
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In fact, I asked a dentist who was presenting at this event, I asked him if he sees any use of AI to help with the generation of 3D surface objects from CT scans.
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His answer was a definite YES!
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It was interesting to see how the end users are using AI models as part of their workflows. Because we at PYCAD have been so immersed in developing such AI models for our clients, that sometimes we might overlook how those AI models impact dentists, prosthetists, and patients. It was truly an eye opening event!

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We released nnUNet Full Course for Free!

As promised last week, we have released a full nnUNet online course for free! This course will teach you how to use nnUNet to build powerful machine learning segmentation models for medical imaging. You will be building a deep learning model that can segment the spine and vertebras like below image!

You can access the course HERE.

X Post of the Day

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AI X BIO @AIXBIO Trends Future of Oncology: AI's Impact on Diagnosis and Treatment AI is being utilized in oncology to enhance medical imaging analysis, improve risk prediction globally, and facilitate more precise cancer treatments. Efforts are underway to address limitations in existing AI… https://twitter.com/i/web/status/1797005331219816729 https://twitter.com/AACR/status/1793623373496414235 AACR @AACR Artificial intelligence has the potential to improve cancer detection and treatment across the globe. Learn about advances presented at #AACR24 on the #AACRBlog: https://bit.ly/3ywXTO8 @VivekSubbiah @SarahCannonDocs @DrMiaLevy @mlgig @UChicago @WinshipAtEmory 10:40 PM • Jun 1, 2024 0 Retweets 0 Likes

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