http://resbyte.github.io/Recent content in Home on Abhinav DadhichHugoen-usSat, 23 May 2026 00:00:00 +0000http://resbyte.github.io/about/Mon, 01 Jan 0001 00:00:00 +0000http://resbyte.github.io/about/<p>Abhinav is a Director for AI in Digital Health at Tricog working towards building better cardiac care using AI. He leads the full lifecycle for AI Medical Devices, from research and model development through regulatory approval, clinical trials, and scaled production deployment. Over 10+ years, Abhinav has built and shipped ML systems across healthcare, computer vision, and robotics, operating across India, Japan, and Singapore. In previous roles, he developed AI systems serving enterprise clients at ABEJA and built autonomous navigation systems at Rapyuta Robotics. He is currently leading a team to develop innovative SAMD for cardiac care. He often publishes his findings through research publications as well as public talks at conferences.</p>http://resbyte.github.io/foundation-models-for-ecg-promise-gaps-and-what-comes-next/Sat, 23 May 2026 00:00:00 +0000http://resbyte.github.io/foundation-models-for-ecg-promise-gaps-and-what-comes-next/<p>Large pretrained models have reshaped NLP and computer vision. The natural question is whether the same paradigm — pretrain on huge unlabeled corpora, fine-tune on small labeled datasets — translates to clinical time-series. For ECG specifically, the stakes are high: cardiac events kill more people than any other cause, and most of the world has no cardiologist nearby.</p> <p>The short answer is: partially. And the gaps are instructive.</p> <h2 id="why-ecg-is-a-good-testbed">Why ECG is a good testbed</h2> <p>ECG is well-suited for this experiment for a few reasons:</p>