Elizabeth Standish Gill Associate Professor of Nursing, Columbia University/ Data Science Institute/ Visiting Nurse Service of New York/ Harvard Medical School
This seems like a critical reason to open up about AI use in academia.
Scholars are using old AI models, badly, and not talking about it. New models hallucinate very few citations, and good agentic harnesses drop that further. Being open about use would help us make new norms.
This figure illustrates how the monthly rate of fake citations per 10,000 papers in PubMed Central, has changed from Jan 2023 to Feb 2026. Starting in mid-2024, there was a sharp increase, reaching approximately 57 fake citations per 10,000 by early 2026.
https://t.co/DfglL0IfRQ
An AI faked a reference in one of my papers. An editor caught it before publication. So I scanned 2.5 million biomedical papers. We found 4,046 citations to studies that don't exist. Up 12× since 2023. 98.4% uncorrected. Today in @TheLancet.
https://t.co/GTJY7G6ktd
Excited to share our new study in the International Journal of Medical Informatics on addressing fairness gaps in ML models for home healthcare patients with heart failure! Fairness gaps in Machine learning models for hospitalization and emerg... https://t.co/DQlu5lKmqE
Thrilled to share our new paper on fairness gaps in ML models for predicting hospital visits in heart failure patients, stressing the need for equitable healthcare. Fairness gaps in Machine learning models for hospitalization and emerg... https://t.co/DQlu5lJOB6
New publication on stigmatizing language in healthcare #PLOSONE: Identifying stigmatizing language in clinical documentation: A scoping review of emerging literatur ... https://t.co/iQvHm8jHY2
Tune in to this enlightening #podcast episode from #ONS24 in which @MaxTopaz discusses the research he presented about the future of #oncology#research by using cutting-edge approaches with artificial intelligence (#AI): https://t.co/ylH2C8FITh
Tune in to this enlightening #podcast episode from #ONS24 in which @MaxTopaz discusses the research he presented about the future of #oncology#research by using cutting-edge approaches with artificial intelligence (#AI): https://t.co/ylH2C8FITh
Thrilled to keynote at @ONSCongress in DC! Explored Generative AI's impact on oncology research and discussed ethical considerations. Thanks, @ONS for the opportunity! Excited for future collaborations in #ArtificialIntelligence and #CancerResearch!
The possibilities of #AI are endless! However, it’s important that @oncologynursing are at the table when discussing how to implement within clinical practice to reduce bias, stigmatizing language, address ethical concerns & protecting patients data #ONSCongress
🚀 Exciting dive into AI in #Nursing with Dr. Hobensack's review in Intl Journal of Nursing Studies! 📚 Shows vast potential of LLMs like ChatGPT but highlights the journey's start & need for more research. 🛠️ https://t.co/B5G6tUFKQB
We are thrilled to announce that applications are now open for the CUIMC NHLBI Health Equity StARR Program!! Please see below for more details.
Apply now & please spread the word!
https://t.co/04ayr9EGZE @ColumbiaPS@ColumbiaFaculty@Columbia@DaichiShimbo
Congratulations to Dr. Maryam Zolnoori, from @Columbia University Medical Center and @vnshealth for a @pennaitech pilot award for her project "A speech-processing algorithm for automatic screening of African American patients with mild cognitive impairment and early dementia in home health settings"
Beyond excited to be featured in @NatureMedicine on the impact of LLMs in healthcare. Honored to share insights on AI & social determinants of health alongside experts like Munjal Shah & David Bates . Special thanks to Dr. Song & @Aviv_Landau https://t.co/e0E5DtvaWc