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Advanced and interpretable corneal staining assessment through fine grained knowledge distillation

Advanced and interpretable corneal staining assessment through fine grained knowledge distillation

May 24, 2025May 24, 2025
World Health Assembly extends Global Strategy on Digital Health to 2027

World Health Assembly extends Global Strategy on Digital Health to 2027

May 24, 2025May 24, 2025
HIMSSCast: Forecasting AI and health IT regulation under a Trump White House

HIMSSCast: Forecasting AI and health IT regulation under a Trump White House

May 23, 2025May 24, 2025
Microsoft unveils AI agent orchestrator for cancer care coordination

Microsoft unveils AI agent orchestrator for cancer care coordination

May 23, 2025May 24, 2025
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Tag: Black Box

AI Hype vs. Reality: PointClickCare’s Approach to Creating Trustworthy Tech

AI Hype vs. Reality: PointClickCare’s Approach to Creating Trustworthy Tech

March 19, 2025Healthcare IT Today

PointClickCare isn’t just talking about AI—it’s proving its value. In this interview, Dean Slawson, VP of Advanced Technology, breaks down how the company is taking a responsible approach to AI, ensuring that it delivers…

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Google releases open foundation models for health app developers

Google releases open foundation models for health app developers

November 27, 2024November 27, 2024MobiHealthNews

Google has introduced Health AI Developer Foundations (HAI-DEF), a public resource for healthcare developers that provides open-weight models to help them build healthcare applications, initially focused on dermatology, radiology and pathology.Open-weight AI models are…

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How should health systems put ethical AI into practice?

How should health systems put ethical AI into practice?

March 8, 2024March 9, 2024Healthcare IT news

By now, health systems seeking to capitalize on the enormous potential of artificial intelligence are well aware – or should be, at least – of the inherent risks, even dangers, of algorithms and models…

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Illuminating Medical AI | Unveiling the Black Box

Illuminating Medical AI | Unveiling the Black Box

February 19, 2024February 19, 2024DistilINFO Hospital IT

In healthcare, ‘black box’ AI models pose a challenge due to their opaque decision-making processes. A novel auditing framework, devised by Stanford University and University of Washington researchers, aims to tackle this issue. By…

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The physical space of the hospital will be gradually digitized until virtually every object and sensor becomes part of the so-called 'Internet of Things.' These innovations can broadly be categorized as either clinical or experiential, though some will be both. Clinical innovations will involve gathering ever more "signals" from the patient (infrared, sound, electrophysiology, pulse-oximeter, facial expression, etc.) to be sifted in real time through machine-learning algorithms that will help physicians refine their understanding of diagnosis and prognosis in ways we can only imagine today. Experiential innovations will allow health systems and their partners to take a page from Netflix, using the engagement opportunity of the acute care episode to stream digital content to patients and families through TVs, tablets and their own devices from home.

Daniel Durand

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