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@itsmuzza2004 1 year ago
RT @IamAritraG: 🩺Segregation Process of Hospital Bio-Medical Waste #DataScientists #MachineLearning #digitalhealth #eHealth #innovation #technology #web3 #metaverse #python #smartcities #robots #Robotics #AI #GenerativeAI #ChatGPT #NLP #Analytics… https://t.co/7nIbt0sKC3
@IamAritraG 1 year ago
🩺Segregation Process of Hospital Bio-Medical Waste #DataScientists #MachineLearning #digitalhealth #eHealth #innovation #technology #web3 #metaverse #python #smartcities #robots #Robotics #AI #GenerativeAI #ChatGPT #NLP #Analytics #tech #innovation #5G #marketing #digital… https://twitter.com/i/web/status/1645423049481793549 https://t.co/dI1KJFic8e
@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 1 year 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
@AIinHealthcare 1 year ago
Researchers from Boston Children’s Hospital were able to predict with 83% accuracy if patients were going to be a no-show at the time of their appointment. @BostonChildrens http://ow.ly/JYJs50IXVPC #AI #MachineLearning #medicalresearch
@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
@IainLJBrown 3 years ago
How to Power Your Hospital with Artificial Intelligence in Medical Imaging - Yahoo Finance Read more here: https://ift.tt/31Rd950 #ArtificialIntelligence #AI #DataScience #100DaysOfCode #Python #MachineLearning #BigData #DeepLearning #NLP #Robots #IoT
@Fabriziobustama 3 years ago
Effect of #MachineLearning on Dispatcher Recognition of Out of Hospital Cardiac Arrest During Calls to Emergency #MedicalServices By @JAMANetwork #NeuralNetworks #DeepLearning #AI #healthcare Cc: @IrmaRaste @_atanas_ @JohnNosta @CMichaelGibson @Dkell999 https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2774644 https://t.co/AgVKJru7NK
@satish9sati 3 years ago
Rape in Star Hospital. #MachineLearning #DeepLearning #BigData #Analytics #DataScience #AI #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysOfCode #Gurugram #Medical #pharmacy https://t.co/2PpmaYwbjN
@kmborgwardt 3 years ago
Getting ready for an invited talk on "#MachineLearning in #Medicine" at the Joint 2020 Meeting of the Swiss Society for Infectious Diseases (#SSI) & the Swiss Society for Hospital Hygiene (#SSHH) https://www.meeting-com.ch/fileadmin/user_upload/programme_pdf/Programme_2020/SSI-SSHH_Program_2020.pdf Great to see a bridge being built between these fields!
@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
@FrRonconi 6 years ago
#Google is using 46 billion #data points to predict the #medical outcomes of hospital patients https://qz.com/1189730 via @qz #AI #MachineLearning #HealthTech #DigitalHealth #EHR #BigData #PatientEngagement HT @evankirstel @JohnNosta https://t.co/tEcRykikbo
@himagiri 7 years ago
#PredixTransform #hackathon #demo5 #vitalsigns get in and out of hospital faster. #MachineLearning https://t.co/0aoCN0M0hW