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Mashup Score: 50Large language models to identify social determinants of health in electronic health records - 3 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: 7
Background: Artificial intelligence is increasingly being applied to many workflows. Large language models (LLMs) are publicly accessible platforms trained to understand, interact with, and…
Source: preprints.jmir.orgCategories: General Medicine News, Oncologists1Tweet
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Mashup Score: 4Predicting seizure recurrence after an initial seizure-like episode from routine clinical notes using large language models: a retrospective cohort study - 5 month(s) ago
Physician’s clinical notes about an initial seizure-like event include substantial signals for prediction of seizure recurrence, and additional domain-specific and location-specific pre-training can significantly improve the performance of clinical large language models, even for specialised cohorts.
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet
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Mashup Score: 0
Physicians document a wealth of helpful information in their clinical notes for predicting seizure recurrence following a first unprovoked seizure in children. This is the one of the take-home messages of the retrospective cohort study by Brett Beaulieu-Jones and colleagues in The Lancet Digital Health.1
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet
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Mashup Score: 4Predicting seizure recurrence after an initial seizure-like episode from routine clinical notes using large language models: a retrospective cohort study - 5 month(s) ago
Physician’s clinical notes about an initial seizure-like event include substantial signals for prediction of seizure recurrence, and additional domain-specific and location-specific pre-training can significantly improve the performance of clinical large language models, even for specialised cohorts.
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet
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Mashup Score: 23
Following the launch of ChatGPT, interest in large language models (LLMs) has grown significantly. Large numbers of new tools, which take advantage of the human-like text generation capabilities of the new ‘generative’ generation of language models, have been released, and there is widespread expectation that ‘AI’ will soon start to undertake tasks that hitherto could only be undertaken by…
Source: universityofgalway-ie.zoom.usCategories: General Medicine News, Cardiology News and JournTweet
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Mashup Score: 4Using fine-tuned large language models to parse clinical notes in musculoskeletal pain disorders - 6 month(s) ago
Musculoskeletal disorders like lower back, knee, and shoulder pain create a substantial health burden in developed countries—affecting function, mobility, and quality of life1. These conditions are often multifactorial and require clinicians to thoroughly assess their cause to decide on appropriate investigative and treatment approaches. However, the electronic health-care record does not explicitly capture pain characteristics within ICD-10 billing codes, making time-consuming and error-prone retrospective chart review necessary.
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet
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Mashup Score: 6
A conversation with Microsoft’s Chief Medical Scientist.
Source: link.medium.comCategories: Future of Medicine, Latest HeadlinesTweet
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Mashup Score: 2
A conversation with Microsoft’s Chief Medical Scientist.
Source: link.medium.comCategories: Future of Medicine, Latest HeadlinesTweet
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Mashup Score: 1Explainer: What is a foundation model? - 6 month(s) ago
This explainer is for anyone who wants to learn more about foundation models, also known as ‘general-purpose artificial intelligence’ or ‘GPAI’.
Source: www.adalovelaceinstitute.orgCategories: Healthcare Professionals, Latest HeadlinesTweet
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