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📖 How I use LLMs as a clinical AI researcher and developer
Biomedical research requires hard data and grounded facts to support experimentation. Development requires creativity and quick iteration.
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📖 Thinking critically about teaching critical thinking
Is a pedagogy of critical thinking possible? I tried to find out
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📝 Workshop on medical image segmentation
teaching university students about medical image segmentation in Python
Me and Alexandre Calado had the opportunity to teach a small course on medical image segmentation at a small student conference organised by the Núcleo de Estudantes do Departamento de Física at Universidade de Coimbra.
It was a great opportunity to brush up on what we know and how we can best communicate it. Given that it was supposed to be a hands-on workshop, I thought that a small Kaggle notebook could be a great opportunity of getting everyone’s hands dirty with a club classic - the Medical Segmentation Decathlon. So I coded a small tutorial on medical image segmentation. It’s free to use with an Apache License 2.0, so feel free to use it with the appropriate attribution 🤗
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📖 Implementing academ.ai, a local retrieval system for academic papers
Semantic and hybrid retrieval for academic papers - look across >100,000 papers and find the relevant ones without losing your mind with keyword-based search.
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📖 LLMs can't innovate
They sure can write gooder than me. But is innovation really their strongest suit? And most importantly - why does that matter?
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