👉 Learn how to build AI systems for medical imaging domain by leveraging tools and techniques that I share with you! | 💡 The newsletter is read by people from: Nvidia, Baker Hughes, Harvard, NYU, Columbia University, University of Toronto and more!
What’s Changing in 2025 for Medical Imaging?
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Hello Reader, I haven't sent the newsletter in a while! Sorry about that! I have been extremely busy with our agency PYCAD. We've been working on several projects for our clients and it's taking most of my time. Since this is the first newsletter I send in 2025, I thought what's better than sharing the new trends in AI for MedTech! So below, you'll see some of the trends and interesting news that are coming from the field! Top Healthcare Tech Trends for 2025When it comes to healthcare innovation, 2025 promises some exciting advancements. Here are a few trends you don’t want to miss: 1- AI Scribes Revolutionizing Healthcare: Generative AI tools are stepping in to turn doctor-patient conversations into medical records, giving physicians more time to focus on patient care. 2- AI-Powered Longevity: Longevity is no longer just about healthy living—it’s becoming a mainstream movement powered by advanced technologies, personalized supplements, and cutting-edge screenings. 3- CGMs for Everyone: Continuous Glucose Monitors are breaking out of diabetes management and proving their value for tracking lifestyle impacts on health. 4- Generative AI Across Medicine: With over 1,000 FDA-approved AI tools, generative AI is now empowering clinicians to build tailored solutions without needing extensive coding expertise. AIVAS Supercomputer Transforms Medical Imaging​
ALAFIA AI has unveiled AIVAS, a groundbreaking personal supercomputer designed to accelerate AI workflows in healthcare. Capable of delivering over 1,000 trillion operations per second, it reduces imaging task times from an hour to just 30 seconds. Why It Matters AIVAS enhances efficiency in critical applications like digital pathology, neurology, and cardiac imaging, allowing researchers to process complex data faster than ever. Key Features
This innovation is already being adopted by institutions like Stanford Medical School, marking a new era in AI-powered medical imaging. ​
That's it for this week's edition, I hope you enjoyed it! |
Machine Learning for Medical Imaging
👉 Learn how to build AI systems for medical imaging domain by leveraging tools and techniques that I share with you! | 💡 The newsletter is read by people from: Nvidia, Baker Hughes, Harvard, NYU, Columbia University, University of Toronto and more!
Hello Reader, Welcome to another edition of PYCAD newsletter where we cover interesting topics in Machine Learning and Computer Vision applied to Medical Imaging. The goal of this newsletter is to help you stay up-to-date and learn important concepts in this amazing field! I've got some cool insights for you below ↓ DICOM Viewer with Volume Rendering What you're seeing below is a DICOM viewer with 4 views: axial, coronal, sagittal and volume rendering. All integrated into one web app!We've...
Hello Reader, Welcome to another edition of PYCAD newsletter where we cover interesting topics in Machine Learning and Computer Vision applied to Medical Imaging. The goal of this newsletter is to help you stay up-to-date and learn important concepts in this amazing field! I've got some cool insights for you below ↓ How to transcribe medical prescriptions with AI Lately I was chatting with a business man who has done amazing things in the medical imaging field. While conversing, he told me...
Hi Reader, Another week and another PYCAD edition! This week I would like to share with you 2 things: An important insight that every medical professional should know about AI. My experience renting online servers to train my machine learning models, and how you can benefit from it. Without further ado, let's jump right into it! Medical Professionals Do NOT know This About AI When I see medical professionals online posting about how they use AI in their work, it’s usually one of 2 categories:...