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Insights for medical AI research.
Perspectives on reproducibility, research infrastructure, clinical AI workflows, and the future of data-driven medicine.


How to build an AI Doctor: developing a medical AI algorithm from scratch (Part 1)
🎯 Objective Learn how IADX, a AI-focused startup I co-founded, in developing a generalist AI model for x-ray images, and learn how the...

Lucas Mello
Mar 11, 20254 min read


Why Medical AI Needs Open Source Data to Thrive
Data in AI has been quoted as “the new oil” , and as “potentially the most under-valued and de-glamorised aspect of today’s AI ecosystem” . Although the main field of AI is advancing on this understanding, and industry moving with it, Medical AI is significantly behind the curve. One of the biggest misunderstandings right now is what “good data” means. To a Medical Professional, this means having good quality scans, with closed-ended, clearly defined outcomes, with little am

Adam McArthur
Feb 28, 20255 min read


Data Scientists are Unmanageable
Don't wander into an AI project and try to manage it like a normal software project. You'll make a mess. The Awakening A few years ago I was asked to manage the software development process at Medo.AI, a company working on AI for ultrasound scans. The team was small, enthusiastic, and hardworking, but progress was unpredicable and the company needed to be able to plan better. I dove in, but it became pretty clear to me that a ton of the overall uncertainty was coming from the

Rod Fitzsimmons Frey
Feb 22, 20254 min read
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