this post was submitted on 10 Sep 2023
87 points (79.6% liked)

Technology

59152 readers
2056 users here now

This is a most excellent place for technology news and articles.

Our Rules

  1. Follow the lemmy.world rules.
  2. Only tech related content.
  3. Be excellent to each another!
  4. Mod approved content bots can post up to 10 articles per day.
  5. Threads asking for personal tech support may be deleted.
  6. Politics threads may be removed.
  7. No memes allowed as posts, OK to post as comments.
  8. Only approved bots from the list below, to ask if your bot can be added please contact us.
  9. Check for duplicates before posting, duplicates may be removed

Approved Bots

founded 1 year ago
MODERATORS
[email protected]
[email protected]
[email protected]
[email protected]
[email protected]
87
ChatGPT plays doctor with 72% success (www.axios.com)
submitted 1 year ago by [email protected] to c/[email protected]
45 comments fedilink hide all child comments
 

As AI capabilities advance in complex medical scenarios that doctors face on a daily basis, the technology remains controversial in medical communities.

you are viewing a single comment's thread
view the rest of the comments
[–] [email protected] 9 points 1 year ago

Details matter here. Here's a few from the study:

ChatGPT achieved an overall accuracy of 71.7% (95% CI 69.3%-74.1%) across all 36 clinical vignettes. The LLM demonstrated the highest performance in making a final diagnosis with an accuracy of 76.9% (95% CI 67.8%-86.1%) and the lowest performance in generating an initial differential diagnosis with an accuracy of 60.3% (95% CI 54.2%-66.6%). Compared to answering questions about general medical knowledge, ChatGPT demonstrated inferior performance on differential diagnosis (β=–15.8%; P<.001) and clinical management (β=–7.4%; P=.02) question types.

At the time of the study, 36 vignette modules were available on the web, and 34 of the 36 were available on the web as of ChatGPT’s September 2021 training data cutoff date. All 36 modules passed the eligibility criteria of having a primarily textual basis and were included in the ChatGPT model assessment.

All questions requesting the clinician to analyze images were excluded from our study, as ChatGPT is a text-based AI without the ability to interpret visual information.