The stethoscope has been a diagnostic icon since Laennec’s wooden tube in 1816. In the early 2010s, electronic models like the 3M Littmann Model 3200 added on‑board recording, playback, and Bluetooth streaming, paving the way for algorithmic analysis of auscultation signals. As machine‑learning methods matured, a new generation of “AI stethoscopes” emerged, capable of identifying murmurs, arrhythmias,

Artificial intelligence continues to transform healthcare, and South Korean health tech startup – Mediwhale is at the forefront with a pioneering AI platform that analyses retinal images to detect serious diseases early. How It Works Mediwhale’s platform uses advanced deep learning algorithms trained on thousands of retinal images to identify subtle changes in the retina