👉 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?
|
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 ↓ AI Scribes: Transforming Medical Documentation Web Application for Medical Note Generation AI-powered medical scribes are revolutionizing clinical workflows by automating...
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 ↓ DeepSeek: A New Player in AI for Healthcare The new open-source LLM, DeepSeek, is creating buzz for its potential to transform AI in medicine and healthcare. Designed for...
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 ↓ Now You Can Use Large Language Models that are HIPAA Compliant People are finding ways to use large language models in all fields. MedTech is no exception. The amount of work...