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Mashup Score: 50Large language models to identify social determinants of health in electronic health records - 12 month(s) ago
npj Digital Medicine – Large language models to identify social determinants of health in electronic health records
Source: www.nature.comCategories: General Medicine News, Hem/OncsTweet
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Mashup Score: 4
Social determinants of health (SDoH) have an important impact on patient outcomes but are incompletely collected from the electronic health records (EHR). This study researched the ability of…
Source: arXiv.orgCategories: General Medicine News, Hem/OncsTweet-
Our preprint describing this project here: https://t.co/oyZJzdEfRB, led by co-first authors Marco Guevera and @shan23chen
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Mashup Score: 0
Documentation burden is a major contributor to clinician burnout, which is rising nationally and is an urgent threat to our ability to care for patients. Artificial intelligence (AI) chatbots,…
Source: arXiv.orgCategories: General Medicine News, Hem/OncsTweet-
Does using an #LLM to respond to patient portal messages impact clinical decision-making? https://t.co/qgEY7CCKaq
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Mashup Score: 18AIM - Harvard | Artificial Intelligence in Medicine Program - 1 year(s) ago
Artificial Intelligence in Medicine Program designed to accelerate AI solutions into clinic practice.
Source: aim.hms.harvard.eduCategories: General Medicine News, Hem/OncsTweet-
🚨 We are hiring! Do you have experience in #NLP/large language models #LLMs and want to apply your skills to improving cancer care? Join our team of computer scientists and clinicians. Post-doc and PhD positions available. Learn more here: https://t.co/52hJnZl8Qz. More info ⬇️
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Mashup Score: 68
This survey study examines the performance of a large language model chatbot in providing cancer treatment recommendations that are concordant with National Comprehensive Cancer Network guidelines.
Source: jamanetwork.comCategories: General Medicine News, Hem/OncsTweet-
Is ChatGPT a reliable source for cancer treatment recommendations 🤖? Our study, out now in @JAMAOnc, found that the chatbot included guideline non-concordant recommendations for common cancer diagnoses 1/3 of the time: https://t.co/x1y1LfevAb #ChatGPT #LLM #NLProc
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Mashup Score: 68
This survey study examines the performance of a large language model chatbot in providing cancer treatment recommendations that are concordant with National Comprehensive Cancer Network guidelines.
Source: jamanetwork.comCategories: General Medicine News, Hem/OncsTweet-
Is ChatGPT a reliable source for cancer treatment recommendations 🤖? Our study, out now in @JAMAOnc, found that the chatbot included guideline non-concordant recommendations for common cancer diagnoses 1/3 of the time: https://t.co/x1y1LfevAb #ChatGPT #LLM #NLProc
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Mashup Score: 4
Social determinants of health (SDoH) have an important impact on patient outcomes but are incompletely collected from the electronic health records (EHR). This study researched the ability of…
Source: arXiv.orgCategories: General Medicine News, Hem/OncsTweet-
Our preprint describing this project here: https://t.co/oyZJzdEfRB, led by co-first authors Marco Guevera and @shan23chen
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Mashup Score: 10People v. Cancer 2023 - 1 year(s) ago
What once seemed impossible in cancer research and treatment is, with technology and data-driven innovations, fast becoming reality. Breakthroughs in artificial intelligence, immunotherapy, prevention, and equitable accessibility are revolutionizing care and accelerating progress in the fight to end cancer. Join us for The Atlantic’s sixth annual People v. Cancer for interactive demonstrations, the unveiling of groundbreaking research, and in-depth conversations from the front lines of the cancer community. We appreciate that you’ve chosen to attend The Atlantic’s People v. Cancer. If you have any questions or concerns, please email events_audience@theatlantic.com.If you’re interested in engaging with other registrants through the Chat function, please do so with civility and respect (and otherwise in keeping with our Code of Conduct).
Source: live.theatlantic.comCategories: General Medicine News, Hem/OncsTweet-
Excited to be participating in the “The Impact of AI Innovation” panel at the #PeopleVCancer @AtlanticLive conference tomorrow November 9th. Sign up for free to join the event virtually: https://t.co/Z68RutWiSR #AI #Healthcare #Cancer @aim_harvard @MassGenBrigham @TheAtlantic https://t.co/mvtKt4owcV
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Mashup Score: 4
This survey study examines the performance of a large language model chatbot in providing cancer treatment recommendations that are concordant with National Comprehensive Cancer Network guidelines.
Source: jamanetwork.comCategories: Hem/Oncs, Latest HeadlinesTweet-
Is ChatGPT a reliable source for cancer treatment recommendations 🤖? Our study, out now in @JAMAOnc, found that the chatbot included guideline non-concordant recommendations for common cancer diagnoses 1/3 of the time: https://t.co/x1y1LfevAb #ChatGPT #LLM #NLProc
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Mashup Score: 2
Code base, outputs, scoring guidelines and annotations for ChatGPT NCCN evaluation | Paper: https://www.medrxiv.org/content/medrxiv/early/2023/03/23/2023.03.16.23287316.full.pdf – GitHub – AIM-Harv…
Source: github.comCategories: Hem/Oncs, Latest HeadlinesTweet-
Please check out our paper for more. ChatGPT output and scores are available at the project github https://t.co/5NKSUDcG2M. Congrats to @shan23chen and thank you to wonderful coauthors! @MikeFooteMD @BenjaminKannMD @HugoAerts @Dr_RayMak @aim_harvard @Bos_CHIP
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In our new paper, we demonstrate the potential benefits of #LLMs to identify and extract actionable SDoH in clinic notes. More details, and our new open datasets for SDoH and bias detection, below. 1/ https://t.co/yW7v2XxSXh https://t.co/r9OyfDStzI