I’m thrilled to share that Microsoft Research and Cyted have collaborated to build novel AI models to scale the early detection of esophageal cancer. The AI model demonstrated the same diagnostic performance as the existing manual workflow, potentially reducing the pathologist’s workload by up to 63%. 1️⃣ Check our blog post: https://lnkd.in/dJzE7gUw 2️⃣ Check our Nature communications article: https://lnkd.in/dwD_Ytua 3️⃣ Check our open source code: https://lnkd.in/dMsB83sk A huge appreciation for the entire team for their groundbreaking efforts: Kenza Bouzid, Harshita Sharma, Sarah Killcoyne, Daniel Coelho de Castro, Anton Schwaighofer, Maximilian Ilse, Valentina Salvatelli, PhD, Ozan Oktay, Sumanth Murthy, Lucas Bordeaux, Luiza Moore MD PhD, Maria O’Donovan, Anja Thieme, Aditya Nori, Marcel Gehrung, PhD, Javier Alvarez Valle #Microsoft #Cyted #BiomedicalImaging #AI #MachineLearning #HealthcareInnovation #BarrettsEsophagus #naturecommunications
YIKAI WANG
4mo
👍
Peyman Obeidy
4mo
Insightful! Thank you for sharing this Javier Alvarez Valle. I think one can use similar approache to reduce the needs for biopsy!
Pedro P. Sanchez
4mo
Congrats!! Great work!
Wow ! Congratulations 🙌
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4moThis is fantastic! My father-in-law and my aunt passed away from esophagus cancer. So exciting to see some breakthroughs like this.