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We develop Polaris, the first safety-focused LLM constellation for real-time patient-AI healthcare conversations.
Measuring diagnoses: Icd code accuracy
Kimberly J O’malley, Karon F Cook, Matt D Price, Kimberly Raiford Wildes, John F Hurdle, and Carol M Ashton · 2005
Earlier work this paper cites.
Preventing occupational stress in healthcare workers
Albert Marine, Jani H Ruotsalainen, Consol Serra, and Jos H Verbeek · 2006
Earlier work this paper cites.
Dapagliflozin, a novel sglt2 inhibitor, induces dose-dependent glucosuria in healthy subjects
B Komoroski, N Vachharajani, D Boulton, D Kornhauser, M Geraldes, L Li, and M Pfister · 2009
Earlier work this paper cites.
Race, socioeconomic status, and health: complexities, ongoing challenges, and research opportunities
David R Williams, Selina A Mohammed, Jacinta Leavell, and Chiquita Collins · 2010
Earlier work this paper cites.
Psychosocial work environment and stress-related disorders, a systematic review
Karen Nieuwenhuijsen, David Bruinvels, and Monique Frings-Dresen · 2010
Earlier work this paper cites.
Aging and physiological changes of the kidneys including changes in glomerular filtration rate
Carlos G Musso and Dimitrios G Oreopoulos · 2011
Earlier work this paper cites.
Effectiveness of empathy in general practice: a systematic review
Frans Awm Derksen, Jozien M. Bensing, and Antoine L M Lagro-Janssen · 2013
Earlier work this paper cites.
The sex difference in haemoglobin levels in adults—mechanisms, causes, and consequences
William G Murphy · 2014
Earlier work this paper cites.
Machine learning applications in cancer prognosis and prediction
Konstantina D. Kourou, Themis P. Exarchos, Konstantinos P. Exarchos, Michalis V. Karamouzis, and Dimitrios Ioannis Fotiadis · 2014
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Global supply of health professionals
Timothy Rennie, Jennifer Marriott, and Tina P Brock · 2014
Earlier work this paper cites.
Rash and Arthralgias in a Teenager With Autism
Amanda Jacobsen and Katherine DeNiro · 2016
Earlier work this paper cites.
Vital signs monitoring and nurse–patient interaction: A qualitative observational study of hospital practice
M Cardona-Morrell, M Prgomet, R Lake, M Nicholson, R Harrison, J Long, J Westbrook, J Braithwaite, and K Hillman · 2016
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Allocation of physician time in ambulatory practice: a time and motion study in 4 specialties
Christine Sinsky, Lacey Colligan, Ling Li, Mirela Prgomet, Sam Reynolds, Lindsey Goeders, Johanna Westbrook, Michael Tutty, and George Blike · 2016
Earlier work this paper cites.
Implicit bias in healthcare professionals: a systematic review
Chloë Fitzgerald and Samia Hurst · 2017
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Putting patients first by reducing administrative tasks in health care: a position paper of the american college of physicians
Shari M Erickson, Brooke Rockwern, Michelle Koltov, Robert M McLean, Medical Practice, and Quality Committee of the American College of Physicians* · 2017
Earlier work this paper cites.
A future that works: Ai, automation, employment, and productivity
James Manyika, Michael Chui, Mehdi Miremadi, Jacques Bughin, Katy George, Paul Willmott, and Martin Dewhurst · 2017
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2017 acc/aha/aapa/abc/acpm/ags/apha/ash/aspc/nma/pcna guideline for the prevention, detection, evaluation, and management of high blood pressure in adults: a report of the american college of cardiology/american heart association task force on clinical practice guidelines
Paul K Whelton, Robert M Carey, Wilbert S Aronow, Donald E Casey, Karen J Collins, Cheryl Dennison Himmelfarb, Sondra M DePalma, Samuel Gidding, Kenneth A Jamerson, Daniel W Jones, et al · 2018
Earlier work this paper cites.
Root mean square layer normalization
Biao Zhang and Rico Sennrich · 2019
Earlier work this paper cites.
Quantifying exposure bias for neural language generation
Tianxing He, Jingzhao Zhang, Zhiming Zhou, and James Glass · 2019
Earlier work this paper cites.
Determination of normal hba1c levels in non-diabetic patients with hemoglobin e
Saranya Pongudom and Yingyong Chinthammitr · 2019
Earlier work this paper cites.
Do no harm: a roadmap for responsible machine learning for health care
Jenna Wiens, Suchi Saria, Mark P. Sendak, Marzyeh Ghassemi, Vincent X. Liu, Finale Doshi-Velez, Kenneth Jung, Katherine A. Heller, David C. Kale, Mohammed Saeed, Pilar N. Ossorio, Sonoo Thadaney-Israni, and Anna Goldenberg · 2019
Cited alongside, same era.
The impact of unconscious bias in healthcare: How to recognize and mitigate it
Jasmine R. Marcelin, Dawd S. Siraj, Robert Victor, Shaila Kotadia, and Yvonne Maldonado · 2019
Cited alongside, same era.
Glu variants improve transformer
Noam Shazeer · 2020
Cited alongside, same era.
Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters
Jeff Rasley, Samyam Rajbhandari, Olatunji Ruwase, and Yuxiong He · 2020
Cited alongside, same era.
Retrieval-augmented generation for knowledge-intensive nlp tasks
Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, et al · 2020
C-pack: Packaged resources to advance general chinese embedding, 2023
Shitao Xiao, Zheng Liu, Peitian Zhang, and Niklas Muennighoff · 2023
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The safety of inpatient health care
David W. Bates, David Michael Levine, Hojjat Salmasian, Ania Syrowatka, David M. Shahian, Stuart R. Lipsitz, Jonathan P. Zebrowski, Laura C. Myers, Merranda Logan, Christopher G. Roy, Christine Iannaccone, Michelle Frits, Lynn A. Volk, Sevan M. Dulgarian, Mary G. Amato, Heba H. Edrees, Luke Sato, Patricia H Folcarelli, Jonathan S. Einbinder, Mark E. Reynolds, and Elizabeth A. Mort · 2023
Later among the works it cites.
The shaky foundations of large language models and foundation models for electronic health records
Michael Wornow, Yizhe Xu, Rahul Thapa, Birju S. Patel, Ethan H. Steinberg, S. Fleming, Michael A. Pfeffer, Jason A. Fries, and Nigam H. Shah · 2023
Later among the works it cites.
Capabilities of gpt-4 on medical challenge problems
Harsha Nori, Nicholas King, Scott Mayer McKinney, Dean Carignan, and Eric Horvitz · 2023
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Large language models to identify social determinants of health in electronic health records
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Cited alongside, same era.
Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy
Lucas M. Fleuren, Thomas Klausch, Charlotte L. Zwager, Linda J. Schoonmade, Tingjie Guo, Luca F Roggeveen, Eleonora L Swart, Armand R. J. Girbes, Patrick J. Thoral, Ari Ercole, Mark Hoogendoorn, and Paul W. G. Elbers · 2020
Cited alongside, same era.
Patient safety and quality improvement: Ethical principles for a regulatory approach to bias in healthcare machine learning
Melissa Mccradden, Shalmali Joshi, James A. Anderson, Mjaye L. Mazwi, Anna Goldenberg, and Randi Zlotnik Shaul · 2020
Cited alongside, same era.
Adverse events in hospitals: A quarter of medicare patients experienced harm in october 2018
Grimm CA · 2022
Cited alongside, same era.
Diagnostic errors in the emergency department: A systematic review
David E Newman-Toker, Susan Marie Peterson, Shervin Badihian, Ahmed Hassoon, Najlla Nassery, Donna Parizadeh, Lisa M. Wilson, Yuanxi Jia, Rodney Omron, Saraniya Tharmarajah, Liam Guerin, Pouya B. Bastani, Elizabeth A Fracica, Susrutha Kotwal, and Karen A. Robinson · 2022
Cited alongside, same era.
Can large language models reason about medical questions?
Valentin Liévin, Christoffer Egeberg Hother, and Ole Winther · 2022
Cited alongside, same era.
Scaling instruction-finetuned language models, 2022
Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Yunxuan Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Alex Castro-Ros, Marie Pellat, Kevin Robinson, Dasha Valter, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Zhao, Yanping Huang, Andrew Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, and Jason Wei · 2022
Cited alongside, same era.
Taking flight with copilot: Early insights and opportunities of ai-powered pair-programming tools
Christian Bird, Denae Ford, Thomas Zimmermann, Nicole Forsgren, Eirini Kalliamvakou, Travis Lowdermilk, and Idan Gazit · 2023
Cited alongside, same era.
Marco Guevara, Shan Chen, Spencer Angus Thomas, Tafadzwa L Chaunzwa, Idalid Franco, Benjamin H. Kann, Shalini Moningi, Jack M Qian, Madeleine H Goldstein, Susan M. Harper, Hugo J.W.L. Aerts, Guergana K. Savova, Raymond H. Mak, and Danielle S. Bitterman · 2023
Later among the works it cites.
Can ai solve medical mysteries? it’s worth finding out
Bina Venkataraman · 2023
Later among the works it cites.
A boy saw 17 doctors over 3 years for chronic pain. chatgpt found the diagnosis
Meghan Holohan · 2023
Later among the works it cites.
Clinical text summarization: Adapting large language models can outperform human experts
Dave Van Veen, Cara Van Uden, Louis Blankemeier, Jean-Benoit Delbrouck, Asad Aali, Christian Bluethgen, Anuj Pareek, Malgorzata Polacin, Eduardo Pontes Reis, Anna Seehofnerova, et al · 2023
Later among the works it cites.
https://blogs.microsoft.com/blog/2023/02/07/reinventing-search-with-a-new-ai-powered-microsoft-bing-and-edge-your-copilot-for-the-web/
Reinventing search with a new ai-powered microsoft bing and edge, your copilot for the web · 2024
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https://venturebeat.com/business/ai-models-from-microsoft-and-google-already-surpass-human-performance-on-the-superglue-language-benchmark/
Ai models from microsoft and google already surpass human performance on the superglue language benchmark · 2024
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Adapted large language models can outperform medical experts in clinical text summarization, 2024
Dave Van Veen, Cara Van Uden, Louis Blankemeier, Jean-Benoit Delbrouck, Asad Aali, Christian Bluethgen, Anuj Pareek, Malgorzata Polacin, Eduardo Pontes Reis, Anna Seehofnerova, Nidhi Rohatgi, Poonam Hosamani, William Collins, Neera Ahuja, Curtis P. Langlotz, Jason Hom, Sergios Gatidis, John Pauly, and Akshay S. Chaudhari · 2024
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https://www.oracle.com/human-capital-management/healthcare-workforce-shortage/
The shortage of us healthcare workers in 2023 · 2024
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https://www.aha.org/testimony/2023-02-15-aha-senate-statement-examining-health-care-workforce-shortages-where-do-we-go-here
Aha senate statement on examining health care workforce shortages: Where do we go from here?” · 2024
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https://www.aacnnursing.org/Portals/0/PDFs/Fact-Sheets/Nursing-Shortage-Factsheet.pdf
Fact sheet: Nursing shortage · 2024
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https://www.ruralhealthinfo.org/toolkits/aging/1/demographics#:~:text=Today2C%20there%20are%20more%20than,increase%20by%20almost%2018%20million
Demographic changes and aging population · 2024
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Roformer: Enhanced transformer with rotary position embedding
Jianlin Su, Murtadha Ahmed, Yu Lu, Shengfeng Pan, Wen Bo, and Yunfeng Liu · 2024
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Adapted large language models can outperform medical experts in clinical text summarization
Dave Van Veen, Cara Van Uden, Louis Blankemeier, Jean-Benoit Delbrouck, Asad Aali, Christian Bluethgen, Anuj Pareek, Malgorzata Polacin, Eduardo Pontes Reis, Anna Seehofnerová, et al · 2024
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Rarebench: Can llms serve as rare diseases specialists?
Xuanzhong Chen, Xiaohao Mao, Qihan Guo, Lun Wang, Shuyang Zhang, and Ting Chen · 2024
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Generative large language models are autonomous practitioners of evidence-based medicine
Akhil Vaid, Joshua Lampert, Juhee Lee, Ashwin Sawant, Donald Apakama, Ankit Sakhuja, Ali Soroush, Denise Lee, Isotta Landi, Nicole Bussola, et al · 2024
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