Aidoc raises $150M to advance clinical AI foundation model - MedTech Dive

Oh, wonderful. Aidoc has gone and raised $150 million — that's one hundred and fifty million, in case you missed the zeros — to advance its clinical AI foundation model, CARE, and deploy it via something called aiOS. The goal? To reduce diagnostic errors and delays. Because the healthcare system has been crying out for another platform that promises to revolutionise everything while being adopted nowhere. The press release practically writes itself: 'We're not just building a model, we're building a paradigm shift.' Christ.

Foundation models are the latest bauble the AI industry dangles in front of desperate hospital administrators. 'Train once, deploy everywhere!' they chirp. Never mind that 'everywhere' includes a rural clinic with a 2016 laptop and a harried radiologist who will have to override the false positive on the third patient of the morning. With $150M in the bank, Aidoc can afford to be cheerfully vague about real-world failure rates. After all, the headline is the product.

Meanwhile, the actual diagnostic error rate in US hospitals hovers around 5%, and has barely budged in decades. But hey, Aidoc's valuation just got a boost, and that's what matters in this business. We'll be right back to the same cycle — raise money, promise cure, deploy softly, pivot gently — until the next funding round. Progress.