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11 results for “jessRmorley”
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Our new paper!! Led by @drpauldijkstra.bsky.social with @jessrmorley.bsky.social and awesome medical student Yosra Mekki. #digitalhealth #medsky #episky How to Read a Paper Involving AI. bmjmedicine.bmj.com/content/4/1/...
How to read a paper involving ... -
We wrote a post with a more outreachy style:
https://chemistrycommunity.nature.com/posts/data-driven-design-of-molecular-nanomagnetsObligatory notes:
cc @wim_v12e #JevonsParadox #FrugalComputing
cc @jessRmorley #AllTrials #DataScience -
We wrote a post with a more outreachy style:
https://chemistrycommunity.nature.com/posts/data-driven-design-of-molecular-nanomagnetsObligatory notes:
cc @wim_v12e #JevonsParadox #FrugalComputing
cc @jessRmorley #AllTrials #DataScience -
We wrote a post with a more outreachy style:
https://chemistrycommunity.nature.com/posts/data-driven-design-of-molecular-nanomagnetsObligatory notes:
cc @wim_v12e #JevonsParadox #FrugalComputing
cc @jessRmorley #AllTrials #DataScience -
We wrote a post with a more outreachy style:
https://chemistrycommunity.nature.com/posts/data-driven-design-of-molecular-nanomagnetsObligatory notes:
cc @wim_v12e #JevonsParadox #FrugalComputing
cc @jessRmorley #AllTrials #DataScience -
We wrote a post with a more outreachy style:
https://chemistrycommunity.nature.com/posts/data-driven-design-of-molecular-nanomagnetsObligatory notes:
cc @wim_v12e #JevonsParadox #FrugalComputing
cc @jessRmorley #AllTrials #DataScience -
It’s #LondonTechWeek so before we all get carried away with the hope and the hype of AI for healthcare, let’s take a dive into the challenges involved in actually implanting AI solutions into the healthcare system. These relate to data quality/access; legacy IT; skills mix; and the need to integrate into workflows, and (partially) explain why most AI solutions currently remain in the lab and are not yet in the clinic: https://www.linkedin.com/posts/jessicarosemorley_thinking-critically-about-ai-in-healthcare-activity-7073954025636818944-z5ZV?utm_source=share&utm_medium=member_ios
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It’s #LondonTechWeek so before we all get carried away with the hope and the hype of AI for healthcare, let’s take a dive into the challenges involved in actually implanting AI solutions into the healthcare system. These relate to data quality/access; legacy IT; skills mix; and the need to integrate into workflows, and (partially) explain why most AI solutions currently remain in the lab and are not yet in the clinic: https://www.linkedin.com/posts/jessicarosemorley_thinking-critically-about-ai-in-healthcare-activity-7073954025636818944-z5ZV?utm_source=share&utm_medium=member_ios
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It’s #LondonTechWeek so before we all get carried away with the hope and the hype of AI for healthcare, let’s take a dive into the challenges involved in actually implanting AI solutions into the healthcare system. These relate to data quality/access; legacy IT; skills mix; and the need to integrate into workflows, and (partially) explain why most AI solutions currently remain in the lab and are not yet in the clinic: https://www.linkedin.com/posts/jessicarosemorley_thinking-critically-about-ai-in-healthcare-activity-7073954025636818944-z5ZV?utm_source=share&utm_medium=member_ios
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It’s #LondonTechWeek so before we all get carried away with the hope and the hype of AI for healthcare, let’s take a dive into the challenges involved in actually implanting AI solutions into the healthcare system. These relate to data quality/access; legacy IT; skills mix; and the need to integrate into workflows, and (partially) explain why most AI solutions currently remain in the lab and are not yet in the clinic: https://www.linkedin.com/posts/jessicarosemorley_thinking-critically-about-ai-in-healthcare-activity-7073954025636818944-z5ZV?utm_source=share&utm_medium=member_ios
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It’s #LondonTechWeek so before we all get carried away with the hope and the hype of AI for healthcare, let’s take a dive into the challenges involved in actually implanting AI solutions into the healthcare system. These relate to data quality/access; legacy IT; skills mix; and the need to integrate into workflows, and (partially) explain why most AI solutions currently remain in the lab and are not yet in the clinic: https://www.linkedin.com/posts/jessicarosemorley_thinking-critically-about-ai-in-healthcare-activity-7073954025636818944-z5ZV?utm_source=share&utm_medium=member_ios