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@NVIDIAHealth 1 year ago
Discover how by relying on data-driven insights, including #MachineLearning models and AI-powered medical devices, #smarthospital can enhance the work of healthcare professionals and hospital management, resulting in a better and faster care. https://nvda.ws/3V1OUuO
@TysonLester 1 year ago
Via @HealthTechMag: "Healthcare Systems: Make #Cybersecurity a Top Priority." https://healthtechmagazine.net/article/2021/11/why-healthcare-systems-need-make-cybersecurity-top-priority "Average hospital rooms contain 15-20 connected medical devices." Sensitive patient data is of paramount importance. #FinTech #HIPAA #AI #MachineLearning #IoT #HR #InsurTech
@TysonLester 2 years ago
Via @HealthTechMag: "Healthcare Systems Need to Make #Cybersecurity a Top Priority." https://healthtechmagazine.net/article/2021/11/why-healthcare-systems-need-make-cybersecurity-top-priority "The average hospital room contains 15 to 20 connected medical devices." #PHI and sensitive patient data are of significant importance. #HIPAA #AI #MachineLearning #IoT
@TysonLester 2 years ago
Via @HealthTechMag: "Healthcare Systems Need to Make #Cybersecurity a Top Priority." https://healthtechmagazine.net/article/2021/11/why-healthcare-systems-need-make-cybersecurity-top-priority "The average hospital room contains 15 to 20 connected medical devices." #PHI & sensitive patient data are of paramount importance. #HIPAA #AI #MachineLearning #IoT
@AriErcole 4 years ago
Comprehensive meta-analysis from @ESICM data science in Intensive Care Medicine: #MachineLearning can predict sepsis with AUC between 0.68–0.99 (ICU), 0.96–0.98 (hospital) and 0.87-0.97 (ED) But only 3 clinical implementations #TranslationGap https://doi.org/10.1007/s00134-019-05872-y https://t.co/HX9Gln3pAY
@KirkDBorne 5 years ago
Google is Using 46 Billion Data Points to Predict the Medical Outcomes of Hospital Patients: https://qz.com/1189730/google-is-using-46-billion-data-points-to-predict-the-medical-outcomes-of-hospital-patients/ #Healthcare #BigData #DataScience #AI #MachineLearning #DeepLearning #DataMining #HealthTech #EHR https://t.co/85UYuXlPI3