Remove category health-care-tech
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Unlocking AI’s Potential in Healthcare

Unite.AI

Until recently, doctors and health systems have been restricted by a lack of accessible and computable data. Today, healthcare doesn't just exist at the crossroads of patient care and science; it stands at the confluence of vast data streams and cutting-edge computation. Again, this list is illustrative and incomplete.

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Europe Adopts Groundbreaking AI Regulation

Unite.AI

This category includes AI systems that pose a significant threat to health, safety, or fundamental rights. It's indeed a noteworthy step towards ensuring accountability, particularly of large tech companies, and maintaining ethical standards in AI deployment.

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We can learn from the past in AI/Medicine

Ehud Reiter

Ie, in ML terms the goal is to build a classifier which outputs a diagnosis (category) based on patient symptoms (input data), and there is a lot of historical data to train models. I cannot give details here, but I have seen cases where real-world ROI was disappointing, especially for an exciting new tech that people had great hopes for.

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10 everyday machine learning use cases

IBM Journey to AI blog

Filtering email ML algorithms in Google’s Gmail automate filtering customers’ email into Primary, Social and Promotions categories while also detecting and rerouting spam to a spam folder. In genetic research, gene modification and genome sequencing, ML is used to identify how genes impact health.

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Hippocratic is building a large language model for healthcare

Flipboard

. “The company mission is to develop the safest artificial health g eneral intelligence in order to dramatically improve healthcare accessibility and health outcomes.” Babylon Health , an AI startup backed by the U.K.’s “In the pandemic, labor costs went up 30% for most health systems, but revenue didn’t.

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Learnings From Building the ML Platform at Mailchimp

The MLOps Blog

I was working as a data scientist, mentoring at two boot camps, and working on a real estate tech startup on the weekends. I started from tech, my first job was an internship at Google as a software engineer. But a lot of medical companies in the US, for example, are under HIPAA, which is for medical and health companies.

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Let's think about slowing down AI

AI Impacts

Halting categories of work until strong confidence in its safety is possible, e.g. as would occur if AI researchers agreed that certain systems posed catastrophic risks and should not be developed until they did not. One might contemplate ‘coordination’ to avoid such morbid races. How do they manage it?

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