From Bias to Balance: Tackling Imbalanced Data Head-OnHow a simple tweak to batch size can transform model training on imbalanced datasets — unlocking better performance and fairness.Jan 10Jan 10
Stop Ignoring Your Dataset: 7 Ways Looking at Your Data Will Improve Your Computer Vision ModelsWould you trust a chef who never tastes their ingredients?Jan 10Jan 10
Jazz Up Your Plots: 7 ggplot2 Tips and TricksLevel up your data visualisation game with these elegant ggplot2 enhancements.Oct 20, 2024Oct 20, 2024
The Phases of Developing Software as a Medical DeviceThe phases of developing SaMD, clearly explainedOct 20, 2024Oct 20, 2024
Phases of Clinical Studies: A Clear Guide with ExamplesBreaking down the phases of clinical studies, complete with examples.Oct 20, 2024Oct 20, 2024
Understanding “Loss” in AI Model TrainingUnderstanding Loss in the context of machine learning models .Oct 10, 2024Oct 10, 2024
Defining AI: What Truly Makes a Machine IntelligentArtificial Intelligence (AI) is one of those buzzwords that everyone throws around but most struggle to define.Oct 6, 2024Oct 6, 2024
Metrics Reloaded: A Framework for Validating AI in Medical ImagingWhy many AI algorithms shine in the lab but falter in the clinic — and how a new approach aims to fix that.Oct 3, 2024Oct 3, 2024
AI in Healthcare: 4 Newsletters to Keep You UpdatedKeeping up with medical literature can feel like the Sisyphean task. Every day, you’re pushing that rock uphill — catching up on the…Sep 13, 2024Sep 13, 2024
The power of simplicity with data visualisationsFlorence Nightingale’s timeless lesson in simplicity.Aug 7, 2024Aug 7, 2024
