AI Essentials

Healthcare

From powerful diagnostic algorithms to finely-tuned surgical robots, artificial intelligence (AI) is making its presence known across the healthcare industry. The potential for both AI in the healthcare industry is vast. Here are a few examples in use today: Radiology, Drug Discovery, Patient Risk Identification, Primary Care/Triage.

Top news of the week: 05.11.2021.

#smartHIT
#ai
#intoAInews
#Hyperautomation
#COVID19
#deeplearning
#FDA
#digitalhealth

Healthcare

@SullyHIT shared
On Nov 2, 2021
In this installment of American Health Cities, @GabrielSPerna visits Rochester, Minnesota, home of the @MayoClinic and a city in which Epic, @Google and others have planted a flag https://t.co/afuzYQptiu @HealthEvolution https://t.co/Ku4yph6woF
Open
American Health Care Cities: Rochester, Minnesota

American Health Care Cities: Rochester, Minnesota

Home to the world-famous Mayo Clinic, Rochester, Minnesota relies on health care to drive its economy more than almost any other region within the country.

@HIMSS shared
On Nov 3, 2021
#Hyperautomation not only speeds up processes in the healthcare industry, it frees up resources so organizations can focus on providing value-based care for patients. #smartHIT https://t.co/aYE2eqfTip
Open
Healthcare Hyperautomation Improving Efficiency

Healthcare Hyperautomation Improving Efficiency

Organizations in every corner of the healthcare industry from clinicians, healthcare systems and payers are utilizing hyperautomation to save time and improve accuracy and efficiency. Two ...

@SullyHIT shared
On Nov 4, 2021
RT @HealthEvolution: “We’ve seen the near elimination of competitive angst." @jhalamka on why #COVID19 only made the appetite for AI solutions more palatable for health care executives. But still--wider challenges to clinical adoption persist. Here are the four big ones. https://t.co/KdeRxGefDs
Open
AI in health care: Four challenges preventing wider clinical adoption

AI in health care: Four challenges preventing wider clinical adoption

Challenges with clinical workflow integration, data integrity, ethics and privacy, and ROI all remain significant barriers to increasing AI adoption.

@Neurons_AI shared
On Oct 30, 2021
Reliable Health Assistants Yielded by Artificial Intelligence – Analytics Insight - Healthcare https://t.co/sq2YCZ29Db #ai #intoAInews
Open
Reliable Health Assistants Yielded by Artificial Intelligence – Analytics Insight

Reliable Health Assistants Yielded by Artificial Intelligence – Analytics Insight

Healthcare applications empowered by artificial intelligence have led to an increasing number of health assistants. Some topmost health tech …

@Neurons_AI shared
On Oct 30, 2021
Artificial Intelligence in Healthcare Market worth $67.4 billion by 2027 – Yahoo Finance - https://t.co/ascedNDWtj #ai #intoAInews
Open
Artificial Intelligence in Healthcare Market worth $67.4 billion by 2027 – Yahoo Finance

Artificial Intelligence in Healthcare Market worth $67.4 billion by 2027 – Yahoo Finance

According to the new market research report "Artificial Intelligence in Healthcare Market by Offering (Hardware, Software, Services), …

@Neurons_AI shared
On Oct 30, 2021
Artificial Intelligence in Healthcare Market worth $67.4 billion by 2027 – Exclusive R - https://t.co/mTEkXiEOpd #deeplearning #intoAInews
Open
Artificial Intelligence in Healthcare Market worth $67.4 billion by 2027 – Exclusive Report by …

Artificial Intelligence in Healthcare Market worth $67.4 billion by 2027 – Exclusive Report by …

The increasing adoption of machine learning technology (especially deep learning) in various healthcare applications such as inpatient monitoring …

@HIMSS shared
On Oct 29, 2021
RT @HealthITNews: In a preview of the @HIMSS Machine Learning & AI for Healthcare event, @cariumcares general counsel @Matt_R_Fisher explains two areas of potential liability concerning AI – and explains how healthcare organizations can protect themselves. #smartHIT https://t.co/5MN7CZOrh0
Open
Machine learning can revolutionize healthcare, but it also carries legal risks

Machine learning can revolutionize healthcare, but it also carries legal risks

In a preview of the HIMSS Machine Learning & AI for Healthcare event, Carium general counsel Matt Fisher explains two areas of potential liability concerning artificial intelligence – and ...

@JohnNosta shared
On Nov 1, 2021
FDA releases 'guiding principles' for AI/ML device development https://t.co/U3I3afKA83 via @HealthITNews #digitalhealth #AI #FDA
Open
FDA releases 'guiding principles' for AI/ML device development

FDA releases 'guiding principles' for AI/ML device development

The principles identify areas in which international standards organizations and other collaborative groups could advance what the agency calls Good Machine Learning Practice.