Alyssa Pradhan
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alyssapradhan.bsky.social
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
Posts Replies Media Videos
Reposted by Alyssa Pradhan
smcgrath.phd
An overemphasis on helpfulness makes LLMs vulnerable.
Research shows models will comply with illogical medical requests, generating false information. This sycophantic tendency can be corrected with specific prompting and fine-tuning. #MedSky #MedAI #MLSky
When helpfulness backfires: LLMs and the risk of false medical information due to sycophantic behavior - npj Digital Medicine
npj Digital Medicine - When helpfulness backfires: LLMs and the risk of false medical information due to sycophantic behavior
www.nature.com
October 17, 2025 at 3:53 PM
Reposted by Alyssa Pradhan
jama.com
Viewpoint: The sudden removal of all Advisory Committee on Immunization Practices (ACIP) members and changes to #COVID19 vaccine policy have critically weakened the US vaccine program.

#MedSky

https://ja.ma/43MpHvd
Advisory Committee on Immunization Practices at a Crossroads
June 16, 2025 at 5:20 PM
Reposted by Alyssa Pradhan
kdpsingh.bsky.social
"All the data in the world will not make a difference, unless there are people ready to use it."

— Atul Butte, MD, PHD, FACMI
2024 Morris F. Collen Award Winner
November 16, 2024 at 1:58 AM
alyssapradhan.bsky.social
I like these papers where the risk from subtle patterns we pick up on clinically can be somewhat quantified:

pubmed.ncbi.nlm.nih.gov/40345937/

#MedicalAI #MedSky #MLSky #DigitalHealth #AIinHealthcare
pubmed.ncbi.nlm.nih.gov
May 28, 2025 at 1:38 PM
Reposted by Alyssa Pradhan
medicalattention.bsky.social
Can #LLMs introspect? Can they do maths? We're back (again) busting myths about #LLMs and #AIinmedicine! Listen now: podcasts.apple.com/au/podcast/m...
#MedicalAI #MedSky #FOAMed #digitalhealth
May 10, 2025 at 1:16 PM
Reposted by Alyssa Pradhan
propublica.org
NEW: Pregnancy became far more dangerous in Texas after the state banned abortion, according to ProPublica’s first-of-its-kind analysis, which found the sepsis rate for women hospitalized as they miscarried in the 2nd trimester shot up by more than 50%.

https://propub.li/43487Tj
Texas Banned Abortion. Then Sepsis Rates Soared.
ProPublica’s first-of-its-kind analysis is the most detailed look yet into a rise in life-threatening complications for women experiencing pregnancy loss under Texas’ abortion ban.
propub.li
February 20, 2025 at 12:00 PM
alyssapradhan.bsky.social
#GPT-4 generated plain language notes improved comprehension of discharge notes, particularly in Black and Hispanic patients and those with decreased #healthliteracy. Very cool to see the practical effect of this work
#MedicalAI #digitalhealth #MedSky #AI

ai.nejm.org/doi/full/10....
A Cross-Sectional Study of GPT-4–Based Plain Language Translation of Clinical Notes to Improve Patient Comprehension of Disease Course and Management
The 21st Century Cures Act provides patients with access to their clinical notes, but most patients, particularly those with limited health literacy, have difficulty understanding and utilizing the...
ai.nejm.org
February 2, 2025 at 2:25 PM
alyssapradhan.bsky.social
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
January 29, 2025 at 2:34 AM
alyssapradhan.bsky.social
I really like the detail in this paper! Exploring the bias in #LLM responses through counterfactuals, SHAP, embeddings (oh my) and looking at intersections of gender x ethnicity 😍
TLDR: #Algorithmicbias runs deep
#MedSky #MLSky #digitalhealth #healthequity
arxiv.org/abs/2410.16574
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
January 27, 2025 at 12:19 PM
alyssapradhan.bsky.social
This is an interesting question but does the methodology address whether an LLM is "uncertain"? It would be interesting to see how the LLM reports of confidence in an answer correspond to probability of the token for that answer... #MLSky #medsky #healthcareAI
www.nature.com/articles/s41...
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
January 20, 2025 at 6:45 PM
alyssapradhan.bsky.social
Ever wondered what it’s like being stuck talking to me at a party? Look no further.
#MedSky #MLSky #algorithmicbias #healthcareAI
January 17, 2025 at 5:04 AM
alyssapradhan.bsky.social
"Replacement of just 0.001% of training tokens with medical misinformation results in harmful models more likely to propagate medical errors.... Corrupted models match the performance of their corruption-free counterparts on open-source benchmarks routinely used to evaluate medical LLMs."
natureportfolio.nature.com Nature Portfolio @natureportfolio.nature.com · Jan 15
A paper in Nature Medicine reports that large language models can be manipulated to generate misinformation by poisoning a small percentage of data on which they are trained and presents a harm mitigation strategy that can offer a method to address this vulnerability. #Medsky 🧪
Medical large language models are vulnerable to data-poisoning attacks - Nature Medicine
Large language models can be manipulated to generate misinformation by poisoning of a very small percentage of the data on which they are trained, but a harm mitigation strategy using biomedical knowledge graphs can offer a method for addressing this vulnerability.
go.nature.com
January 15, 2025 at 6:55 PM
Reposted by Alyssa Pradhan
drannieandrews.com
If RFK Jr. is confirmed. @donttreadonkids.bsky.social
January 13, 2025 at 1:27 AM
alyssapradhan.bsky.social
Interested to see what people's thoughts are regarding this #NEJMAI perspective 🧵
#MedSky #MLSky #algorithmicbias #healthcareAI #healthequity
ai.nejm.org/doi/full/10....
Ethical Use of Artificial Intelligence in Medical Diagnostics Demands a Focus on Accuracy, Not Fairness
Artificial intelligence (AI) promises to be a transformative technology for medicine and health care. As such, there is an increasing interest in ensuring its ethical use. In this perspective, we c...
ai.nejm.org
January 9, 2025 at 11:40 PM
Reposted by Alyssa Pradhan
tripodstatement.bsky.social
Great to see "TRIPOD+AI and DECIDE-AI are the highest quality guidelines with respect to rigor of development and the involvement of the stakeholders" 😄 in

academic.oup.com/jamiaopen/ar...

Get TRIPOD+AI from www.bmj.com/content/385/...

#MLSky #StatsSky #MedSky
January 8, 2025 at 2:37 PM
Reposted by Alyssa Pradhan
stephenpfohl.bsky.social
Check out our new paper "Tackling Algorithmic Bias and Promoting Transparency in Health Datasets: The STANDING Together Consensus Recommendations" jointly published in NEJM AI and The Lancet Digital Health, led by @jaldmn.bsky.social @xiaoliu.bsky.social
December 18, 2024 at 6:51 PM
alyssapradhan.bsky.social
I agree with this Lancet Digital Health viewpoint that data harmonisation and funding for microbiology reference labs is a public health issue. Investment in the expertise to standardise and analyse this data in real time is also needed
@thelancet.bsky.social
www.thelancet.com/journals/lan...
The importance of microbiology reference laboratories and adequate funding for infectious disease surveillance
Microbiology reference laboratories perform a crucial role within public health systems. This role was especially evident during the COVID-19 pandemic. In this Viewpoint, we emphasise the importance of microbiology reference laboratories and highlight the types of digital data and expertise they provide, which benefit national and international public health. We also highlight the value of surveillance initiatives among collaborative international partners, who work together to share, analyse, and interpret data, and then disseminate their findings in a timely manner.
www.thelancet.com
January 3, 2025 at 3:00 AM
alyssapradhan.bsky.social
Move over Spotify wrapped, it's time for 49 minutes of us chatting about the trends in #healthcareAI for 2024!
#MLSky #MedSky #MedEd #Podcast
December 17, 2024 at 5:03 AM
alyssapradhan.bsky.social
A cool illustration of the richness of routine laboratory data. In all the hype of #healthcareAI, this use to unveil patterns we can't perceive is particularly powerful. #MedSky #MLSky
www.nature.com/articles/s41...
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
December 15, 2024 at 10:16 PM
Reposted by Alyssa Pradhan
beardsley-j.bsky.social
Nice paper - tricky case. Patient w COVID-19 isolated for 7 months, impacting rehab.

Rules and interpretation of tests were too rigid for lung Tx patient, long after IPC threat had passed.

Authors @priyagargiddoc.bsky.social @alyssapradhan.bsky.social et al offer some solutions!
priyagargiddoc.bsky.social Priya Garg @priyagargiddoc.bsky.social · Dec 10
Prolonged COVID-19 shedding in complicated lung transplant patient - a tricky case for us to navigate at the time! Interested in whether de-isolation policies have since changed at other centres? #IDSky #TxID @alyssapradhan.bsky.social

onlinelibrary.wiley.com/doi/10.5694/...
Prolonged SARS‐CoV‐2 shedding in a lung transplant recipient: time for flexibility in infection prevention?
Click on the article title to read more.
onlinelibrary.wiley.com
December 11, 2024 at 9:43 PM
Reposted by Alyssa Pradhan
smcgrath.phd
Tagging 🩺🖥️
alondra.bsky.social Alondra Nelson @alondra.bsky.social · Dec 6
“Denied by AI,” the multi-part STAT News investigation of how #UnitedHealthcare used an opaque algorithmic system to deny care to people who needed it is a #mustread www.statnews.com/2023/03/13/m...
December 6, 2024 at 3:05 PM
Reposted by Alyssa Pradhan
erictopol.bsky.social
The opportunities, challenges and outlook for LLM-based agents in medicine and healthcare—our paper published today

nature.com/articles/s42...
LLM-based agentic systems in medicine and healthcare - Nature Machine Intelligence
Large language model-based agentic systems can process input information, plan and decide, recall and reflect, interact and collaborate, leverage various tools and act. This opens up a wealth of oppor...
nature.com
December 5, 2024 at 1:29 PM
alyssapradhan.bsky.social
Welcome to bsky @jenniferdmotter.bsky.social whose work on HIV+ to HIV+ transplant contributed to this policy change 😍👏🏽
www.hhs.gov/about/news/2...
#IDSky #TxID #Medsky
www.hhs.gov
November 27, 2024 at 2:35 AM
Reposted by Alyssa Pradhan
bw-id.bsky.social
The ID march of shorter treatment is ok continues, this time for bacteremia (not including S. aureus).

FYI, E. coli, Klebsiella, Enterococcus, and CoNS made up > 70% of organisms.

By pathogen breakdown of risk difference emphasizes applicability of these results for GN bacteremia.
November 20, 2024 at 8:31 PM
Reposted by Alyssa Pradhan
sairabt.bsky.social
idsociety.quorum.us/campaign/811... #idsky #hivsky #idadvocacy #advocacy #idfellows #idfellowship Congress Is Making Funding Decisions Now: Urge Them to Protect ID/HIV Funding @idsainfo.bsky.social town hall
Congress Is Making Funding Decisions Now: Urge Them to Protect ID/HIV Funding
Ask your members of Congress to support robust funding for vital ID/HIV programs.
idsociety.quorum.us
November 19, 2024 at 5:21 PM