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Alyssa Pradhan

@alyssapradhan.bsky.social

2.5K followers 609 following 43 posts

Australian Infectious Diseases trainee | DPhil in Clinical Medicine @ndm.ox.ac.uk‬ Interested in equitable healthcare AI and tahini-based dips

Posts Replies Media

Alyssa Pradhan @alyssapradhan.bsky.social · 29/01/2025

Interesting discussion with Hoffman, ft. some concerning sidestepping about regulation, conflating any guardrails with stifling innovation. Also interesting to see the anxiety around #DeepSeek immediately leading to justification / apology for tech billionaires.. #MLSky #digitalhealth #AI

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Alyssa Pradhan @alyssapradhan.bsky.social · 19/11/2024

Getting my predictions in early 😭 #IDSky

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Alyssa Pradhan @alyssapradhan.bsky.social · 14/11/2024

Sorry I think my reply got deleted! I should have credited them, I believe it was Cornell.

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Alyssa Pradhan @alyssapradhan.bsky.social · 14/11/2024

Apologies, I should have credited them, I believe it was Weill Cornell

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Alyssa Pradhan @alyssapradhan.bsky.social · 14/11/2024

Some great analysis of the barriers to #digitalhealth adoption in safety net patients (including digital red-lining) and how collaboration, support of patients and cautious implementation can mitigate these #AMIA2024

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Alyssa Pradhan @alyssapradhan.bsky.social · 14/11/2024

Practical examples of use of LLMs to combat stigmatising language in clinical notes #AMIA2024

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Alyssa Pradhan @alyssapradhan.bsky.social · 14/11/2024

Team from Vanderbilt outlining use of adaptive resource allocation in recruitment to trials to improve representativeness across studies #AMIA2024

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Alyssa Pradhan @alyssapradhan.bsky.social · 14/11/2024

A number of groups discussed #ML strategies to combat inequity, including Northwestern use of reinforcement learning for allocation of scarce resources. #AMIA2024

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Alyssa Pradhan @alyssapradhan.bsky.social · 14/11/2024

This includes analysis of what #AIfairness actually means. Definitions of group, individual, counterfactual fairness, as well as at the interpolation of different demographic groups as outlined by Dr Michael Kearns and Prof Hernandez-Boussard. #AMIA2024

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Alyssa Pradhan @alyssapradhan.bsky.social · 12/11/2024

A great poster from both a content and user engagement perspective! #AMIA24 #indigenoushealth

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Alyssa Pradhan @alyssapradhan.bsky.social · 12/11/2024

Lots of discussion about #NLP for unstructured clinical notes over the past few days. Data from UTHealth in suicide risk detection demonstrates fine tuned #LLM > in context learning > BERT models with significant caveats of cost and training corpus size. #AMIA24 #MLSky #MedSky

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Alyssa Pradhan @alyssapradhan.bsky.social · 12/11/2024

Joining @smcgrath.phd on his quest to make #AMIA24 happen. Some sobering results on the very high hallucination rates of GPT-4 use for ED discharge summaries by UCSF.

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Alyssa Pradhan @alyssapradhan.bsky.social · 11/11/2024

Download an RSS feed app, I use inoreader. Paste the RSS feed address, subscribe and re-name as you wish.

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Alyssa Pradhan @alyssapradhan.bsky.social · 11/11/2024

Rename your feed, select how many abstracts you want to see and copy the feed address.

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Alyssa Pradhan @alyssapradhan.bsky.social · 11/11/2024

Search and select the show abstracts. Then hit "Create RSS".

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Alyssa Pradhan @alyssapradhan.bsky.social · 11/11/2024

Go to Pubmed > Advanced settings > select what journals or terms you want to follow.

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Alyssa Pradhan @alyssapradhan.bsky.social · 09/11/2024

First day at #AMIA24, some great insights about evaluation of #LLM in healthcare. Also an apt time to scream into the #Medsky void, if you’re part of the #IDtwitter #Medtwitter #healthcareAI exodus, hmu

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