Alyssa Pradhan
@alyssapradhan.bsky.social
Australian Infectious Diseases trainee | DPhil in Clinical Medicine @ndm.ox.ac.uk Interested in equitable healthcare AI and tahini-based dips
Our team wore blue for World Antimicrobial Awareness Week 2025💙 Research into how resistance emerges, spreads and can be prevented is vital. Our group works to understand these processes and develop better tools to detect, monitor and combat antimicrobial resistance. #WAAW @oxfordbrc.bsky.social
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
nature.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
"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
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
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
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
#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
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
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
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...
nature.com
Ever wondered what it’s like being stuck talking to me at a party? Look no further. #MedSky #MLSky #algorithmicbias #healthcareAI
Medical Attention Podcast@medicalattention.bsky.social · 2y agoThis month's episode is on #AlgorithmicBias. Listen here for a tour through this complex topic. #MedSky #MLSky #healthcareAI #MedEd #healthequity podcasts.apple.com/au/podcast/e...
"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."
Nature Portfolio@natureportfolio.nature.com · 2y agoA 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 🧪
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
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
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
Tackling Algorithmic Bias and Promoting Transparency in Health Datasets: The STANDING Together Consensus Recommendations
Without careful dissection of the ways in which biases can be encoded into artificial intelligence (AI) health technologies, there is a risk of perpetuating existing health inequalities at scale. O...
ai.nejm.org
Joe Alderman@jaldmn.bsky.social · 2y agoHello there BlueSky, it's a great pleasure to be able to share a project our team has been working on these last three years! (Led by the venerable @xiaoliu.bsky.social) www.thelancet.com/journals/lan... 1/
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.
thelancet.com
Move over Spotify wrapped, it's time for 49 minutes of us chatting about the trends in #healthcareAI for 2024! #MLSky #MedSky #MedEd #Podcast
Medical Attention Podcast@medicalattention.bsky.social · 2y agoOur latest episode is live! Join as as we discuss the #AMIA Year in Review with @pushkala2307.bsky.social, Humayera Islam & Prof James Cimino. #MedSky #MLSky #HealthcareAI #MedicalInformatics podcasts.apple.com/au/podcast/m...
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, ...
nature.com
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!
Priya Garg@priyagargiddoc.bsky.social · 2y agoProlonged 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/...
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
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
hhs.gov
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.
paul evan bunce, md@paulbuncemd.bsky.social · 2y agoBALANCE is out! 7 days of antibiotics non-inferior to 14 days for bacteremia (excluding S. aureus). this is a practice-changing study that should have huge impacts on antibiotic prescribing. i also can't say enough about the study team (esp. nick daneman). inspiring. www.nejm.org/doi/full/10....
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
🩺💡The Bitterman lab has spent much of the past year researching #LLMs for healthcare. This post summarizes our inroads into making LLMs safer and reliable for clinicians and patients: huggingface.co/blog/shanche.... We'll be at #EMNLP2024 - come chat if you have similar interests!
What We Learned About LLM/VLMs in Healthcare AI Evaluation:
A Blog post by Shan Chen on Hugging Face
huggingface.co
I lack the words to fully express how utterly devastating will be for public health and vaccines. The consequences will last for years and we may never fully recover. www.politico.com/news/2024/11...
Trump to select Robert F. Kennedy Jr. to lead HHS
The choice will roil many public health experts after his years of touting debunked claims that vaccines cause autism.
politico.com
One of the things I’ve really enjoyed about #AMIA2024 has been the thoughtful discussion about strategies to mitigate #algorithmicbias and promote #healthequity🧵
