Shajia Siddiqa·Jun 26The Story of U-Net: Why It Still Dominates Image Segmentation 10 Years LaterA journey from a small university lab to solving real-world problems in medicine, satellite imagery, and beyond
InData Science CollectivebySanchit Suman·Jun 16Going beyond AUC : Auditing medical AI models with DoWhyHow a ResNet50 trained on chest X-rays learned to detect scanners, not disease — and how causal inference caught it.
hsdkultur·Mar 28Data Leakage in Machine Learning: The Silent Killer of Production Models.You’ve just finished training your model. The validation accuracy reads 99.3%. Your loss curves are smooth, your confusion matrix is nearly…
In𝐀𝐈 𝐦𝐨𝐧𝐤𝐬.𝐢𝐨byMy Social·Jan 18MedGemma 1.5: Mastering 3D Medical Imaging and EHR AnalysisIntroduction
Monica Ashok·Oct 4, 2025Day #22: I Used a CNN to Tackle a Real-World Medical Challenge.Here’s How My ‘From Scratch’ Knowledge Helped.
Getayawkal Tamrat·Sep 26, 2025Artificial Intelligence in Medical Imaging: Threat or Opportunity?I recently had the chance to take the course Fundamentals of Data Science in Precision Medicine and Cloud Computing on Stanford Data Ocean…
Segmed·Sep 11, 2025Driving Healthcare Innovation: The Essential Role of Real-World Imaging Data for Medical Device…The emergence of real-world imaging data (RWiD) is causing a rapid change in the innovation landscape of medical devices. The focus is on…
Segmed·Sep 1, 2025AI and Its Rapid Evolution in the Medical Device Industry | Segmed TeamIt often feels like there’s no corner of healthcare that artificial intelligence (AI) hasn’t touched. Medical devices are no exception. The…
Tarvir Anjum Aditto·Jul 28, 2025CNNs Are Smart — But Do We Still Need Histograms?I was teaching my students about histograms, histogram equalization, and FFT in an image processing laboratory. The students were…
