Lily Crawford
@lcrawfo3.bsky.social
AI in Healthcare | Bioethics | BSc Notre Dame, MBA at London Business School | find me in Pittsburgh, Philly and London
Very interesting podcast this morning on AI Bias in HC. AI is being used more and more across the healthcare value chain. which raises the question: How will we address and mitigate risk from biased datasets used in patient care algorithms?
184. Bias and Equity with Artificial Intelligence in Health Care
The ACO Show · Episode
open.spotify.com
March 10, 2025 at 2:50 PM
Very interesting podcast this morning on AI Bias in HC. AI is being used more and more across the healthcare value chain. which raises the question: How will we address and mitigate risk from biased datasets used in patient care algorithms?
Reposted by Lily Crawford
This new report adds to the list of the unanticipated and remarkable capabilities of deep learning A.I. for detecting abnormalities on medical scans
February 27, 2025 at 9:53 PM
This new report adds to the list of the unanticipated and remarkable capabilities of deep learning A.I. for detecting abnormalities on medical scans
Reposted by Lily Crawford
LLMs can't take responsibility for their mistakes. When a human journalist puts their name on AI-written text, they take on that responsibility.
Increasingly I see inaccurate and badly written news stories authored by AI, many of which have actual humans listed as authors or editors.
Increasingly I see inaccurate and badly written news stories authored by AI, many of which have actual humans listed as authors or editors.
February 23, 2025 at 11:56 PM
LLMs can't take responsibility for their mistakes. When a human journalist puts their name on AI-written text, they take on that responsibility.
Increasingly I see inaccurate and badly written news stories authored by AI, many of which have actual humans listed as authors or editors.
Increasingly I see inaccurate and badly written news stories authored by AI, many of which have actual humans listed as authors or editors.
New Research! Trust is the foundation of AI scaling in healthcare, but 65.8% of patients don’t trust their health system to use AI responsibly.
How can healthcare professionals and industry leaders build patient confidence in AI-driven care?
#AI #Healthcare #ResponsibleAI
How can healthcare professionals and industry leaders build patient confidence in AI-driven care?
#AI #Healthcare #ResponsibleAI
Patients’ Trust in Health Systems to Use Artificial Intelligence
This survey study evaluates whether US adults trust health systems to use artificial intelligence responsibly and examines characteristics associated with attitudes related to the use of artificial in...
jamanetwork.com
February 23, 2025 at 9:08 PM
New Research! Trust is the foundation of AI scaling in healthcare, but 65.8% of patients don’t trust their health system to use AI responsibly.
How can healthcare professionals and industry leaders build patient confidence in AI-driven care?
#AI #Healthcare #ResponsibleAI
How can healthcare professionals and industry leaders build patient confidence in AI-driven care?
#AI #Healthcare #ResponsibleAI
AI in healthcare isn’t just about automation—it’s about strategic integration. Leaders must go beyond pilots to drive real impact.
This @harvardmed.bsky.social piece outlines key considerations to scaling AI responsibly without compromising care:
#AI #Healthcare #ResponsibleAI
This @harvardmed.bsky.social piece outlines key considerations to scaling AI responsibly without compromising care:
#AI #Healthcare #ResponsibleAI
Advancing Health Care with Artificial Intelligence: A Strategic Approach for Leaders
As artificial intelligence (AI) technology continues to evolve, it has the potential to transform the health care field—from streamlining workflows, reducing costs and increasing efficiency to improvi...
postgraduateeducation.hms.harvard.edu
February 23, 2025 at 5:37 PM
AI in healthcare isn’t just about automation—it’s about strategic integration. Leaders must go beyond pilots to drive real impact.
This @harvardmed.bsky.social piece outlines key considerations to scaling AI responsibly without compromising care:
#AI #Healthcare #ResponsibleAI
This @harvardmed.bsky.social piece outlines key considerations to scaling AI responsibly without compromising care:
#AI #Healthcare #ResponsibleAI
Reposted by Lily Crawford
Other than the brain, our immune system is the most complex part of the human body. For the first time, sequencing receptors of B and T cells, along w/ generative A.I., enabled diagnosis of medical conditions such as lupus. That's just for starters. erictopol.substack.com/p/the-first-...
February 23, 2025 at 4:30 PM
Other than the brain, our immune system is the most complex part of the human body. For the first time, sequencing receptors of B and T cells, along w/ generative A.I., enabled diagnosis of medical conditions such as lupus. That's just for starters. erictopol.substack.com/p/the-first-...
Reposted by Lily Crawford
As AI models grow in size, their values seem to increasingly converge on the same preferences, whether the model is made by OpenAI or Musk’s X or China’s DeepSeek
Not everyone will like resulting AI preferences, so value engineering is likely to become a topic of discussion arxiv.org/abs/2502.08640
Not everyone will like resulting AI preferences, so value engineering is likely to become a topic of discussion arxiv.org/abs/2502.08640
February 22, 2025 at 2:59 AM
As AI models grow in size, their values seem to increasingly converge on the same preferences, whether the model is made by OpenAI or Musk’s X or China’s DeepSeek
Not everyone will like resulting AI preferences, so value engineering is likely to become a topic of discussion arxiv.org/abs/2502.08640
Not everyone will like resulting AI preferences, so value engineering is likely to become a topic of discussion arxiv.org/abs/2502.08640
Reposted by Lily Crawford
Just a reminder that AI is so challenging to figure out because it is genuinely capable of doing PhD-level work in some areas while messing up basic tasks in closely related areas. And the abilities of AI are growing, but doing so unevenly.
This jagged frontier explains a lot of confusion online.
This jagged frontier explains a lot of confusion online.
February 19, 2025 at 2:13 PM
Just a reminder that AI is so challenging to figure out because it is genuinely capable of doing PhD-level work in some areas while messing up basic tasks in closely related areas. And the abilities of AI are growing, but doing so unevenly.
This jagged frontier explains a lot of confusion online.
This jagged frontier explains a lot of confusion online.