Artificial Intelligence
The collaboration aims to help health systems manage resource allocation and offer situational awareness for facilities as they open up and reschedule delayed surgeries and other procedures.
As telehealth surges and patients get used to the new normal of remote consults, its new machine learning technology can give them tailored after-visit summaries.
Researchers from New York-based Mount Sinai Health System have combined artificial intelligence, imaging and clinical data to rapidly detect COVID-19 in patients.
The expansion consists of NVIDIA Clara Parabricks computational genomics software, disease detection AI models and NVIDIA Clara Guardian application framework.
AI still needs to prove itself to the clinical community, but there are some aspects of care in which an algorithm will never be granted full control, said Cardiologs CEO Yann Fleureau.
The New York-based company claims its platform can be used to more accurately monitor efficacy of immunotherapy.
Researchers analyse 17.4 million NHS patient EHRs in the world’s largest study to date on COVID-19 …
Study found that increased mortality risk for ethnic minorities is only partially attributable to pre-existing clinical risk factors.
The technique, called federated learning, is designed to enable collaboration among far-flung research organizations on machine learning models, while still protecting patient privacy.
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May 11, 2020
The role of CDI programs in supporting the financial well-being of rural and critical access hospit…
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10:20 am |
May 11, 2020
Speech-recognition tool enabled a Mississippi hospital to expand its AI-driven tools to support its CDI program.
Radiologists have to agree on what kind of evidence matters, especially in the clinical setting, before they can unleash the power of medical imaging AI in patient care.