
Amir Hasan
@amirhasan__
Ultromics COO | Former GM Philips Cardiology Informatics | Growth Leader | MEng Imperial College |
ID: 1187668424073367553
25-10-2019 09:53:19
625 Tweet
248 Takipçi
655 Takip Edilen




Early detection of Cardiac Amyloidosis is crucial as new targeted therapies emerge. Our FDA-cleared breakthrough AI solution, EchoGo® Amyloidosis, provides insights to help detect patients and guide timely treatment. Our Founder and CEO Ross Upton PhD shares key takeaways on a


External validation of a deep-learning AI by Ultromics to detect HFpEF using single #EchoFirst clip shows AI reduces uncertainty of diagnosis when combined w/ clinical scores. Jordan Strom, MD, MSc, FACC, FASE et al in Nature Communications: rdcu.be/ee1lL



Patient symptoms aren’t matching the diastology? EchoGo® Heart Failure can help in the diagnostic process. Dr. Andres Schuster from UH Harrington Heart & Vascular Institute shares his experience using EchoGo® Heart Failure, powered by AI, to help detect #HFpEF. Read more in Cath Lab Digest:


In a new interview, Dr. Andres Schuster at UH Harrington Heart & Vascular Institute discusses recent cases where EchoGo® Amyloidosis supported the positive identification of patients with cardiac amyloidosis. Learn more how EchoGo® Amyloidosis, powered by #AI, identifies cardiac #amyloidosis, supporting



📢 New #EHJ study! Our AI screening tool for echo — EchoGo® Amyloidosis — detects cardiac amyloidosis, a life-threatening condition, with high accuracy. Developed with Mayo Clinic The University of Chicago, tested with 18 global sites. See paper & release: ultromics.com/press-releases… #CardioTwitter



So grateful to be part of this amazing team of investigators. This project took a village, spanning 19 medical centers & 4 continents. Particular thanks to Roberto M Lang (in memorium) Dr.Patricia Pellikka, & the amazing Ultromics team for their tireless work, support, and mentorship


Just published in European Heart Journal — a global milestone in AI-powered cardiac care. UChicago Medicine’s Drs. Jeremy Slivnick and Roberto Lang (in memoriam) helped lead a multi-center, international study — in collaboration with Dr. Patricia Pellikka (Mayo Clinic) and the


Thanks for your precious help with the paper and your leadership of the international collaboration, Jeremy Slivnick ! This was a dream team!

Could AI diagnose your heart disease? In a new study, an AI model outperformed current clinical scoring systems for accurately detecting and identifying cardiac amyloidosis, potentially helping doctors give patients earlier, more effective treatments. uchicagomedicine.org/forefront/rese…
