Researchers at MIT and Beth Israel Medical Center in Boston have developed an AI model that predicts the risk of developing pancreatic cancer. The model outperforms current methods in detecting pancreatic ductal adenocarcinoma. Early detection is crucial as only 11% of people diagnosed with pancreatic cancer survive five years. The AI-based risk prediction offers new hope for early intervention and improving survival rates.
🌐 Exciting Pancreatic Cancer Detection Breakthrough! MIT and Beth Israel Medical Center present PrismNN, a model analyzing medical records for pancreatic cancer risk. Go beyond genetic tests, it identifies high-risk patients at 35.9% accuracy with a low 4.7% false-positive rate https://t.co/GnL4MYamyw
The pieces are coming together for how we will diagnose pancreatic cancer early in the future, with the help of multimodal #AI https://t.co/kvIBDjfN94 https://t.co/p9mJWArw4l https://t.co/IA9Hpn1GGF
Only 11% of people diagnosed with pancreatic cancer are alive five years later h/t @felicejfreyer story in @statnews via Boston Globe. "Early detection of pancreatic cancer could get a boost from AI that identifies people at higher risk" https://t.co/nCd68zQfYh #pancsm
As @IterIntellectus says, every day it's a better world. Published back in December, researchers at MIT and Beth Israel Medical Center in Boston built an AI model that predicts the risk that an individual will develop the most common form of pancreatic cancer. And it performs… https://t.co/rgumyArdnJ
New hope for early pancreatic cancer intervention via AI-based risk prediction: MIT CSAIL researchers develop advanced machine-learning models that outperform current methods in detecting pancreatic ductal adenocarcinoma. https://t.co/EnTHtQ4L10 https://t.co/u09f1QUtzI
Researchers turn to AI to predict the risk of pancreatic cancer https://t.co/4sAzK8VKrN