Alyssa Pradhan
@alyssapradhan.bsky.social
2.5K followers
600 following
43 posts
Australian Infectious Diseases trainee | DPhil in Clinical Medicine @ndm.ox.ac.uk
Interested in equitable healthcare AI and tahini-based dips
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Alyssa Pradhan
@alyssapradhan.bsky.social
· Jan 29
Alyssa Pradhan
@alyssapradhan.bsky.social
· Jan 27
How Can We Diagnose and Treat Bias in Large Language Models for Clinical Decision-Making?
Recent advancements in Large Language Models (LLMs) have positioned them as powerful tools for clinical decision-making, with rapidly expanding applications in healthcare. However, concerns about bias...
arxiv.org
Alyssa Pradhan
@alyssapradhan.bsky.social
· Jan 20
Large Language Models lack essential metacognition for reliable medical reasoning - Nature Communications
Large Language Models demonstrate expert-level accuracy in medical exams, supporting their potential inclusion in healthcare settings. Here, authors reveal that their metacognitive abilities are under...
www.nature.com
Alyssa Pradhan
@alyssapradhan.bsky.social
· Jan 15
Reposted by Alyssa Pradhan
Alyssa Pradhan
@alyssapradhan.bsky.social
· Jan 11
Reposted by Alyssa Pradhan
Reposted by Alyssa Pradhan
Stephen Pfohl
@stephenpfohl.bsky.social
· Dec 18
Alyssa Pradhan
@alyssapradhan.bsky.social
· Dec 15
Haematological setpoints are a stable and patient-specific deep phenotype - Nature
Complete blood count indices are tightly regulated around setpoints for decades in healthy adults, and represent a deep phenotype providing opportunities for investigating differential disease risks, ...
www.nature.com