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Jan 21 2019 | AAAI | Posted In: News
Latest medical AI model and largest chest x-ray dataset ever released, thanks to a wonderful Stanford+MIT collaboration. Abstract: Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Chris Chute, Henrik Marklund, Behzad Haghgoo, Robyn Ball, Katie Shpanskaya, Jayne Seekins,...
Dec 11 2018 | Radiology | Posted In: News
Remarkable work led by Greg Zaharchuk, MD, PhD, showing that diagnostic quality amyloid PET images can be generated using 1% of the PET data obtained from PET/MRI with the help of AI was recently published in Radiology.
Nov 20 2018 | Radiology | Posted In: News
Jared A. Dunnmon , Darvin Yi, Curtis P. Langlotz, Christopher Ré, Daniel L. Rubin, Matthew P. Lungren assess the ability of convolutional neural networks (CNNs) to enable high-performance automated binary classification of chest radiographs.  
September 12, 2018 -- SAN FRANCISCO - A deep-learning artificial intelligence (AI) algorithm can automatically summarize the key findings of radiology reports for x-ray images nearly as well as radiologists can, according to a Monday presentation at the Conference on Machine Intelligence in Medical...

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