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Spread of AI highlights need for clean and timely health data
It hasn’t taken long for AI to dominate conversation in the world of healthcare data analytics, but that doesn’t mean all the pieces are fully in place for optimal success.
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AI/ML in radiology: what infrastructure considerations your organization needs to address
Radiology provides a perfect opportunity for machine learning (ML), a field of artificial intelligence (AI) that uses statistical techniques to give computer systems the ability to learn from data without being explicitly programmed.
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How useful can AI be to mental health providers?
Can what AI might provide mental health therapists in terms of efficiency offset the loss of the human touch?
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Investors see growing potential as AI spreads across healthcare
Financial experts are increasingly convinced that successful implementation of AI in healthcare could boost productivity, lower treatment costs and drive growth across the entire healthcare value chain.
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Virtual assistants: a good step for new AI users
Clinical AI is vitally important, says one healthcare stakeholder, but financial and operational AI are equally important, while also being easier systems to implement.
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AI platform taps data network to predict cancer development
According to a new report, It is becoming increasingly clear that AI will transform the diagnostic imaging industry, both in terms of enhanced productivity, increased diagnostic accuracy and ultimately, improved clinical outcomes.
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How AI could bring big savings to the health insurance market
With lifespans rising and healthcare offerings evolving exponentially, costs are bound to rise, but AI can bring a degree of simplicity and transparency to the insurance market for both customers and insurance providers alike.
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Natural language tool helps address physician burnout
The ultimate vision is to reinvent the entire doctor-patient experience in a way that allows clinical documentation to essentially write itself – and help cure physician burnout.
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Study: new pediatric AI outperforms junior doctors
Training a doctor takes years of grueling work in universities and hospitals. Building a doctor may be as easy as teaching an AI how to read.