Gastroenterology and Artificial Intelligence: 2nd Annual Artificial Intelligence Summit | October 2020-The World of ML and AI A Primer of Next Generation Technology

The World of ML and AI A Primer of Next Generation Technology_Anima Anankumar

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Anima Anandkumar, a prominent figure in the field of AI, discussed the impact of AI on healthcare in a recent document. She highlighted three key trends accelerating progress in the field: the use of AI in medical imaging, the adoption of AI in over 70% of imaging research, and the integration of AI in smart hospitals for real-time and preventative care. Anandkumar also shared several product announcements and releases from the GTC event, including Clara Discovery for drug discovery, Clara Imaging & Instruments for various medical disciplines, Clara Guardian for smart hospitals, and Clara Parabricks for genomic analysis.<br /><br />The document further mentioned Clara Federated Learning, a collaborative AI model that involved 20 sites across eight countries for COVID-19 patient care. The model achieved a global prediction accuracy of .93AUC and a relative improvement of over 25%. Anandkumar also highlighted various pre-trained models available in the NVIDIA Clara framework, such as liver tumor segmentation, spleen segmentation, chest X-ray classification, and brain tumor segmentation.<br /><br />The document touched upon deployment and development tools within the NVIDIA Clara framework, including Clara Train and Clara Deploy. It also discussed the application of AI in robotic surgery and gesture recognition in surgical procedures. Anandkumar highlighted the USC Urology-Caltech Collaboration, which explored the use of computer vision in robotic surgery and classified stitching gestures using deep-learning action recognition models.<br /><br />Additionally, the document introduced the concept of Molecular-Orbital-Based Machine Learning (MOB-ML), which offers quantum features for machine learning applications in chemistry. This approach provides accurate results at a lower computational cost. Anandkumar highlighted the efficiency and effectiveness of MOB-ML compared to other methods for drug molecule conformer stability rankings.<br /><br />Overall, Anima Anandkumar's document covered a range of topics, including AI in healthcare, medical imaging, robotic surgery, and molecular-based machine learning.

Keywords

Anima Anandkumar

AI in healthcare

medical imaging

smart hospitals

Clara Discovery

Clara Imaging & Instruments

Clara Guardian

Clara Parabricks

Clara Federated Learning

NVIDIA Clara framework