Ready to see how AI is helping doctors spot a deadly condition before it spirals out of control? This week, we’re talking about acute respiratory distress syndrome (ARDS) and how AI is predicting it with up to 81% sensitivity and 88% specificity. Spoiler alert: XGBoost takes the crown with a sky-high AUC of 0.93! But it’s not all plug-and-play—finding the right AI model and data mix can be trickier than you think. In this episode:Why ARDS is life-threatening and why timing mattersHow CNNs, SVMs, and XGBoost stack up against each otherWhy combining images and lab data gives AI superpowersWhat’s blocking AI from the ICU (hint: data sharing & regulations)Get a front-row seat to the future of critical care. Perfect for tech buffs, healthcare pros, and anyone who likes to see AI flex its real-world muscles.#digitalhealthpulse

Ver todos los episodios