Gradient AI snaps up healthcare analytics unit from Prognos

Gradient AI snaps up healthcare analytics unit from Prognos

Gradient AI, an AI insurance software provider, has acquired Prognos Health’s analytics business underwriting unit.

AI, Software and Digital Health: Why Reimbursement Matters


Fierce MedTech Summit 2022 Keynote Address by Perspectum CEO Dr. Rajarshi Banerjee

Learn more at https://www.perspectum.com/

iCenter for Ultrasound equipment: Powerful asset analytics at your fingertips. | GE Healthcare


Visible data. Optimized assets.
iCenter is an online asset maintenance and management software. It provides data and analytics on asset status, location, maintenance history, utilization and planning. #GEHealthcare #GeneralElectric

Subscribe to GE Healthcare: https://invent.ge/3ipZ7wI

Learn more about GE Healthcare
Website: http://www.gehealthcare.com
Facebook: https://www.facebook.com/GEHealthcare
Twitter: http://twitter.com/gehealthcare
LinkedIn: http://www.linkedin.com/company/gehealthcare

About GE Healthcare:
As a leading global medical technology and digital solutions innovator, GE Healthcare enables clinicians to make faster, more informed decisions through intelligent devices, data analytics, applications and services, supported by its Edison intelligence platform.

With over 100 years of healthcare industry experience and around 50,000 employees globally, the company operates at the center of an ecosystem working toward precision health, digitizing healthcare, helping drive productivity and improve outcomes for patients, providers, health systems and researchers around the world.

We embrace a culture of respect, transparency, integrity and diversity.

iCenter for Ultrasound equipment: Powerful asset analytics at your fingertips. | GE Healthcare
http://www.youtube.com/gehealthcare

What is Predictive Modeling and How Does it Work?


How predictive modeling and predictive analytics impact the bottom line: https://searchbusinessanalytics.techtarget.com/post/How-predictive-and-prescriptive-analytics-impact-the-bottom-line?utm_source=youtube &utm_medium=description &utm_campaign=032021predictive &utm_content=predictive &Offer=OTHR-youtube_OTHR-video_OTHR-predictive_2021March05_predictive

Predictive modeling is a mathematical process that aims to predict future events based on past behavior. It’s the core function of predictive analytics applications; it works by analyzing data to identify patterns, and then using those patterns to create algorithms that data scientists train. Predictive modeling is used in a wide variety of applications, from meteorology, to fraud detection, to security management.

What other applications are there for predictive modeling? How has your organization benefitted from it? Share your thoughts in the comments, and be sure to hit that like button.

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#predictivemodeling #predictiveanalytics #datascience

Artificial intelligence in healthcare: opportunities and challenges | Navid Toosi Saidy | TEDxQUT


Artificial intelligence has the ability to revolutionise and personalise targeted healthcare for individual patients. The regulatory frameworks for AI in healthcare are a critical component in managing and maximising accurate healthcare predictions.

Navid holds a PhD in Biomedical Engineering and Medical Device Development. He has previously worked as a postdoctoral researcher focusing on translation and commercialization of biodegradable implants. Navid is currently focused on enabling artificial intelligence-based healthcare solutions to be commercially developed and applied in clinical settings. Dr Navid Toosi Saidy is the Digital Health Lead at Max Kelsen, driving the implementation of digital innovation in healthcare. Navid holds a PhD in Biomedical Engineering and Medical Device Development. He has previously worked as a postdoctoral researcher focusing on translation and commercialization of biodegradable implants.

Drawing on years of experience collaborating at the University research level, and with medical device companies and regulators, Navid is currently focused on enabling artificial intelligence-based healthcare solutions to be commercially developed and applied in real world clinical settings. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx