Elad Walach

Artificial Intelligence
3 predictions for radiology AI in 2021
With virtual RSNA 2020 over and the year drawing to a close, Elad Walach of artificial intelligence (AI) developer Aidoc has taken the time to share his predictions about trends in the world of radiology AI for next year.
December 14, 2020
2019 11 14 18 07 2163 Computer Doctor Future 400
Artificial Intelligence
5 reasons why imaging AI is different from CAD
Artificial intelligence (AI) in medical imaging is on the rise and already becoming part of the standard of care. But with all the hype, one must ask: Is next-generation imaging AI simply a new take on computer-aided detection/diagnosis (CAD)? Aidoc CEO Elad Walach presents five reasons why AI is fundamentally different.
October 28, 2018
2017 05 09 11 15 29 355 Cyber Informatics 400
Artificial Intelligence
3 ways to ensure AI algorithms are really working
Artificial intelligence (AI), deep learning, and related technologies have emerged as solutions that can really make a difference in almost every medical field imaginable, from radiology to pharmaceuticals to diagnosis. But the question remains: How do we know that these algorithms are actually working?
August 5, 2018
2016 10 03 14 26 17 320 Computer Binary 400
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Two cases of pathologically confirmed intrahepatic cholangiocarcinomas in 68-year-old male patients. In both cases (A-H, case 1; I-P, case 2), CT scans (B, F, case 1; J, N, case 2) revealed intrahepatic bile duct dilation and suspected nodular lesions. While F-18 FDG PET/CT (A, C, D, case 1; I, K, L, case 2) failed to demonstrate abnormal tracer uptake (SUVmax 3.5, TBR 1.3 in Case 1; SUVmax 2.6, TBR 1.2 in Case 2), F-18 FAPI-04 PET/CT (E, G, H, case 1; M, O, P, case 2 ) showed positive uptake in the nodular lesions (SUVmax 9.7, TBR 3.5 in Case 1; SUVmax 9.6, TBR 3.3 in Case 2). Image available for republishing under Creative Commons license (CC BY 4.0 DEED, Attribution 4.0 International) and courtesy of BMC Cancer.
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