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: 23.03.2021.

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Healthcare

@Paul_Sonnier shared
On Mar 18, 2021
RT @PA_Consulting: #AI tools and applications can be used to fight against problems like #COVID19. Our #healthcare expert @nilesh_chandra discusses in @TechBullion https://t.co/rEnzDRNe3u
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Artificial Intelligence in Healthcare: Interview With Nilesh Chandra, Healthcare Expert at PA Consulting

Artificial Intelligence in Healthcare: Interview With Nilesh Chandra, Healthcare Expert at PA Consulting

Nilesh Chandra, healthcare expert at PA Consulting, discusses the use of AI in healthcare.

@ahier shared
On Mar 20, 2021
RT @SpirosMargaris: How #AI Can Drive #Healthcare #Innovation https://t.co/PthIJpTGhG #fintech #ArtificialIntelligence #MachineLearning #DeepLearning @Jean_Nehme @barronsonline @ahier https://t.co/i6M3Od03fh
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How AI Can Drive Healthcare Innovation

How AI Can Drive Healthcare Innovation

Investors are pouring money into artificial intelligence, but healthcare professionals are skeptical.

@ahier shared
On Mar 22, 2021
RT @psb_dc: Five ways AI can democratise African healthcare #AI #Healthcare #Culture #Data cc @biancaroselaw @YuHelenYu @Paula_Piccard @SpirosMargaris @mskaff @ahier https://t.co/menKfKWVbR via @financialtimes
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Five ways AI can democratise African healthcare

Five ways AI can democratise African healthcare

Barriers need to be overcome before data and information technology can be harnessed in poorer countries

@healthurbanista shared
On Mar 19, 2021
High demand for patient-focused #healthcare technologies has added a new dynamic to the growth path of #Nordic medtechs. #Nordicmade #medtech #business #digitalhealth #innovation @ComputerWeekly @NordicMade https://t.co/3tqya9GMpT
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Nordic healthcare digitisation drives medtech growth

Nordic healthcare digitisation drives medtech growth

Nordic medtech is growing rapidly as the healthcare sector adopts technologies such as artificial intelligence and the internet of things.

@ahier shared
On Mar 17, 2021
RT @SpirosMargaris: 10 Must Look #ArtificialIntelligence #Research Papers So Far https://t.co/S7mpOlO0Fi #fintech #AI #MachineLearning #DeepLearning @analyticsinme https://t.co/55k9aFUpkI
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10 Must Look Artificial Intelligence Research Papers So Far

10 Must Look Artificial Intelligence Research Papers So Far

As the artificial intelligence research community has made various significant technical breakthroughs over the years, here’s a look at the 10 must look artificial intelligence research ...

@HealthITNews shared
On Mar 22, 2021
The chief technology officer of Royal Philips provides some answers for health system CIOs and other IT leaders. #smartHIT https://t.co/1xzqdnL5np
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How does bias affect healthcare AI, and what can be done about it?

How does bias affect healthcare AI, and what can be done about it?

The chief technology officer of Royal Philips provides some answers for health system CIOs and other IT leaders.

@HealthITNews shared
On Mar 22, 2021
The report estimates that by 2026, the European telehealth market will bring in $17.35 billion in revenue. #Telehealth https://t.co/BSIUa5KmCu
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AI and cloud to empower the European telehealth market, says Frost & Sullivan analysis

AI and cloud to empower the European telehealth market, says Frost & Sullivan analysis

The report estimates that by 2026, the European telehealth market will bring in $17.35bn in revenue.

@HealthITNews shared
On Mar 18, 2021
Health systems that refuse to see themselves as engineering houses risk falling behind in their ability to properly leverage artificial intelligence and machine learning. #smartHIT https://t.co/J6L3jMQblw
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Not seeing results from AI? Engineering may be the missing piece

Not seeing results from AI? Engineering may be the missing piece

Health systems that refuse to see themselves as engineering houses risk falling behind in their ability to properly leverage artificial intelligence and machine learning.