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NeuTigers Launches CovidDeep, A Rapid Screening App Using Wearable Sensor Data to Detect COVID-19 Infection


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NeuTigers, an Artificial Intelligence company spun out of Princeton University, said it launched CovidDeep, a clinically validated solution that can triage those needing further testing for SARS-CoV-2/COVID-19 using physiological sensors data derived from wearable devices. The CovidDeep app is 90%+ accurate in predicting whether a person is virus-free or virus-positive, and is twice as effective as current triage tools, such as temperature checks and questionnaires.
Early in the pandemic, NeuTigers realized its StarDeep™ Smart Healthcare Platform, which delivers AI-powered solutions to augment healthcare professionals’ productivity, could be used in the fight against COVID-19. CovidDeep was developed through rigorous clinical research and validation trials beginning at San Matteo Hospital in Pavia, Italy, during the acute phase of the COVID-19 pandemic in April 2020, with further expanded prospective field studies in hospitals in Fra ....

United States , Adel Laoui , Department Of Electrical Engineering At Princeton University , Princeton University , Neural Networks , Artificial Intelligence , Smart Healthcare Platform , San Matteo Hospital , Electrical Engineering , Galvanic Skin Response , Heart Inter Beat Interval , San Matteo , North Africa , ஒன்றுபட்டது மாநிலங்களில் , துறை ஆஃப் மின் பொறியியல் இல் ப்ரிந்ஸ்டந் பல்கலைக்கழகம் , ப்ரிந்ஸ்டந் பல்கலைக்கழகம் , நரம்பியல் நெட்வொர்க்குகள் , செயற்கை உளவுத்துறை , புத்திசாலி சுகாதாரம் நடைமேடை , சான் மேட்டியோ மருத்துவமனை , மின் பொறியியல் , கால்வனிக் தோல் பதில் , இதயம் இடை அடி இடைவெளி , சான் மேட்டியோ ,

NeuTigers Launches CovidDeep, A Rapid Screening App Using Wearable Sensor Data to Detect COVID-19 Infection NEWS


Posted by Nicholas Calderone | Jan 12, 2021 | News | |
New screening tool proves almost twice as effective as temperature checks in predicting COVID-19
NeuTigers, an Artificial Intelligence company spun out of Princeton University, today launched CovidDeep, a clinically validated solution that can triage those needing further testing for SARS-CoV-2/COVID-19 using physiological sensors data derived from wearable devices. The CovidDeep app is 90%+ accurate in predicting whether a person is virus-free or virus-positive, and is twice as effective as current triage tools, such as temperature checks and questionnaires.
Early in the pandemic, NeuTigers realized its StarDeepTM Smart Healthcare Platform, which delivers AI- powered solutions to augment healthcare professionals’ productivity, could be used in the fight against COVID-19. CovidDeep was developed through rigorous clinical research and validation trials beginning at San Matteo Hospital in Pavia, Italy, during t ....

United States , Adel Laoui , Department Of Electrical Engineering At Princeton University , Princeton University , Neural Networks , Artificial Intelligence , Healthcare Platform , San Matteo Hospital , Electrical Engineering , Galvanic Skin Response , Heart Inter Beat Interval , San Matteo , North Africa , ஒன்றுபட்டது மாநிலங்களில் , துறை ஆஃப் மின் பொறியியல் இல் ப்ரிந்ஸ்டந் பல்கலைக்கழகம் , ப்ரிந்ஸ்டந் பல்கலைக்கழகம் , நரம்பியல் நெட்வொர்க்குகள் , செயற்கை உளவுத்துறை , சுகாதாரம் நடைமேடை , சான் மேட்டியோ மருத்துவமனை , மின் பொறியியல் , கால்வனிக் தோல் பதில் , இதயம் இடை அடி இடைவெளி , சான் மேட்டியோ ,