Towards Expert-Level Medical Question Answering with Large Language Models · HackerPapers discussions

Towards Expert-Level Medical Question Answering with Large Language Models — mentioned by lofatdairy

Mon, 10 Jul 2023 14:54:11 GMT

Agreed, or even the actual paper[^1]. While the methodology seems pretty well-designed, applicability to real-world type situations notwithstanding, they seem to show that LLM's primary advantage lay in the fact that physicians aren't that good at communicating with a lay audience. I know Epic for sure is/was looking into GPT-4 integration, but probably not in trying to diagnose patients, because that's just too hairy from an accountability/insurance reimbursement standpoint. It's probably more useful in communicating with patients through an interface like MyCharts. [^1]…

Paper and discussion history. A mention is not an endorsement.

Towards Expert-Level Medical Question Answering with Large Language Models — HN submission

Sun, 21 May 2023 09:59:35 GMT

Towards Expert-Level Medical Question Answering with Large Language Models

3 points; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.

Towards Expert-Level Medical Question Answering with Large Language Models — HN submission

Fri, 19 May 2023 04:26:30 GMT

Towards Expert-Level Medical Question Answering with Large Language Models

3 points; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.

Towards Expert-Level Medical Question Answering with Large Language Models — HN submission

Wed, 17 May 2023 05:06:09 GMT

Med-PaLM 2 reaches a score of 86.5% on MEDQA (USMLE)

3 points; 5 discussion replies on HN. Paper and source history. A submission is not an endorsement.