Who's Who of AI

Judith Abécassis

160 trust @judithabk6.bsky.social · 1,803 followers
AI research
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Directory member with public evidence across AI research.

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past 30d
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past 30d
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Researcher at Inria Saclay, team Soda working on machine learning and causal inference for health data
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↻ Judith Abécassis reposted
Scott McGrath @smcgrath.phd

Over a million patients were screened for diabetic eye disease as Google scaled its clinical tool across India, Thailand, and Australia. One of the biggest challenges wasn't the model itself; it was sorting out camera operator turnover, local workflows, and spotty rural connec…

Practical lessons in the global scaling of clinical AI: from one hospital to over a million patients screened - Nature Medicine nature.com
AI Weekly's analysis →
  • A Nature Medicine comment reports a deep learning eye-screening tool has scaled from one hospital to over a million patients screened across India, Thailand and Australia.
  • The paper draws lessons from deployments at Aravind Eye Care System in India, Rajavithi Hospital in Bangkok and Lions Outback Vision in Western Australia.
  • Lead authors sit at Google, with clinician co-authors named at each partner site including Kim Ramasamy, Paisan Ruamviboonsuk and Angus Turner.
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↻ Judith Abécassis reposted
Scott McGrath @smcgrath.phd

Over a million patients were screened for diabetic eye disease as Google scaled its clinical tool across India, Thailand, and Australia. One of the biggest challenges wasn't the model itself; it was sorting out camera operator turnover, local workflows, and spotty rural connec…

Practical lessons in the global scaling of clinical AI: from one hospital to over a million patients screened - Nature Medicine nature.com
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↻ Judith Abécassis reposted
Scott McGrath @smcgrath.phd

Over a million patients were screened for diabetic eye disease as Google scaled its clinical tool across India, Thailand, and Australia. One of the biggest challenges wasn't the model itself; it was sorting out camera operator turnover, local workflows, and spotty rural connec…

Practical lessons in the global scaling of clinical AI: from one hospital to over a million patients screened - Nature Medicine nature.com
AI Weekly's analysis →
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↻ Judith Abécassis reposted
Scott McGrath @smcgrath.phd

Over a million patients were screened for diabetic eye disease as Google scaled its clinical tool across India, Thailand, and Australia. One of the biggest challenges wasn't the model itself; it was sorting out camera operator turnover, local workflows, and spotty rural connec…

Practical lessons in the global scaling of clinical AI: from one hospital to over a million patients screened - Nature Medicine nature.com
AI Weekly's analysis →
Read full analysis →
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↻ Judith Abécassis reposted
Scott McGrath @smcgrath.phd

Over a million patients were screened for diabetic eye disease as Google scaled its clinical tool across India, Thailand, and Australia. One of the biggest challenges wasn't the model itself; it was sorting out camera operator turnover, local workflows, and spotty rural connec…

Practical lessons in the global scaling of clinical AI: from one hospital to over a million patients screened - Nature Medicine nature.com
AI Weekly's analysis →
Read full analysis →
 View on Bluesky →
↻ Judith Abécassis reposted
Scott McGrath @smcgrath.phd

Over a million patients were screened for diabetic eye disease as Google scaled its clinical tool across India, Thailand, and Australia. One of the biggest challenges wasn't the model itself; it was sorting out camera operator turnover, local workflows, and spotty rural connec…

Practical lessons in the global scaling of clinical AI: from one hospital to over a million patients screened - Nature Medicine nature.com
AI Weekly's analysis →
  • A Google-led team reports scaling a single deep learning tool across sites in India, Thailand and Australia to over a million patients screened.
  • The paper's anchor sites are Aravind Eye Care System in Madurai, Rajavithi Hospital in Bangkok and Lions Outback Vision in Western Australia.
  • Google says the same diabetic retinopathy model has supported over 600,000 screenings globally and targets 6 million across India and Thailand over ten years.
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↻ Judith Abécassis reposted
Scott McGrath @smcgrath.phd

Over a million patients were screened for diabetic eye disease as Google scaled its clinical tool across India, Thailand, and Australia. One of the biggest challenges wasn't the model itself; it was sorting out camera operator turnover, local workflows, and spotty rural connec…

Practical lessons in the global scaling of clinical AI: from one hospital to over a million patients screened - Nature Medicine nature.com
AI Weekly's analysis →
  • A Google-developed diabetic retinopathy screening model has now been used across Aravind Eye Care (India), Rajavithi Hospital (Thailand) and Lions Outback Vision (Australia), with over one million patients screened.
  • Google reports the model has supported more than 600,000 screenings globally, with a stated goal of six million AI-enabled screenings across India and Thailand at no cost over the next decade.
  • The Nature Medicine Comment frames the three-country rollout as a source of 'cross-cutting insights' for scaling clinical AI, with Google Health authors joined by site collaborators from Aravind, Rajavithi and Lions Eye Institute.
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↻ Judith Abécassis reposted
Scott McGrath @smcgrath.phd

Over a million patients were screened for diabetic eye disease as Google scaled its clinical tool across India, Thailand, and Australia. One of the biggest challenges wasn't the model itself; it was sorting out camera operator turnover, local workflows, and spotty rural connec…

Practical lessons in the global scaling of clinical AI: from one hospital to over a million patients screened - Nature Medicine nature.com
AI Weekly's analysis →
  • A Google deep-learning eye-screening tool has now been used on more than a million patients across India, Thailand and Australia.
  • The Nature Medicine Comment draws on three anchor sites: Aravind Eye Care System, Rajavithi Hospital and Lions Outback Vision.
  • Google says the same model has supported over 600,000 screenings globally, with partners aiming for six million across India and Thailand.
Read full analysis →
 View on Bluesky →
↻ Judith Abécassis reposted
Scott McGrath @smcgrath.phd

Over a million patients were screened for diabetic eye disease as Google scaled its clinical tool across India, Thailand, and Australia. One of the biggest challenges wasn't the model itself; it was sorting out camera operator turnover, local workflows, and spotty rural connec…

Practical lessons in the global scaling of clinical AI: from one hospital to over a million patients screened - Nature Medicine nature.com
AI Weekly's analysis →
Read full analysis →
 View on Bluesky →
↻ Judith Abécassis reposted
Scott McGrath @smcgrath.phd

Over a million patients were screened for diabetic eye disease as Google scaled its clinical tool across India, Thailand, and Australia. One of the biggest challenges wasn't the model itself; it was sorting out camera operator turnover, local workflows, and spotty rural connec…

Practical lessons in the global scaling of clinical AI: from one hospital to over a million patients screened - Nature Medicine nature.com
AI Weekly's analysis →
Read full analysis →
 View on Bluesky →
↻ Judith Abécassis reposted
Scott McGrath @smcgrath.phd

Over a million patients were screened for diabetic eye disease as Google scaled its clinical tool across India, Thailand, and Australia. One of the biggest challenges wasn't the model itself; it was sorting out camera operator turnover, local workflows, and spotty rural connec…

Practical lessons in the global scaling of clinical AI: from one hospital to over a million patients screened - Nature Medicine nature.com
AI Weekly's analysis →
Read full analysis →
 View on Bluesky →
↻ Judith Abécassis reposted
Scott McGrath @smcgrath.phd

Over a million patients were screened for diabetic eye disease as Google scaled its clinical tool across India, Thailand, and Australia. One of the biggest challenges wasn't the model itself; it was sorting out camera operator turnover, local workflows, and spotty rural connec…

Practical lessons in the global scaling of clinical AI: from one hospital to over a million patients screened - Nature Medicine nature.com
AI Weekly's analysis →
Read full analysis →
 View on Bluesky →
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