Cross-sectional study assesses the ability of a language learning model to classify whether a progress note contains confidential information and to identify the specific confidential content in the note. https://ja.ma/3T1DsQ6
JAMA Pediatrics’ Post
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Ophthopedia Update:Using Large Language Models to Generate Educational Materials on Childhood Glaucoma: To evaluate the quality, readability, and accuracy of large language model (LLM) generated patient education materials (PEMs) on childhood glaucoma, and their ability to improve existing online information's readability. #Ophthalmology #Ophthotwitter #Scicomm
Using Large Language Models to Generate Educational Materials on Childhood Glaucoma
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Natural language processing with machine learning methods to analyze unstructured patient-reported outcomes derived from electronic health records: A systematic review. #PubMed #Research #Pediatrics #StanfordMedicine https://lnkd.in/gS2Rywty
Natural language processing with machine learning methods to analyze unstructured patient-reported outcomes derived from electronic health records: A systematic review - PubMed
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Dispel the discriminatory rumors and misinformation by spreading the facts: “Today, more of the world’s population is bilingual or multilingual than monolingual. In addition to facilitating cross-cultural communication, this trend also positively affects cognitive abilities. Researchers have shown that the bilingual brain can have better attention and task-switching capacities than the monolingual brain, thanks to its developed ability to inhibit one language while using another. In addition, bilingualism has positive effects at both ends of the age spectrum: Bilingual children as young as seven months can better adjust to environmental changes, while bilingual seniors can experience less cognitive decline.” #SpeechAndLanguage #SpeechLanguagePathology #Bilingualism #Multilingualism #DiversityAndInclusion #Allyship #BetterTogether #Pediatrics #SpeechLanguagePathologist https://lnkd.in/gYDq72xv
The Cognitive Benefits of Being Bilingual
ncbi.nlm.nih.gov
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Potential merits and flaws of large language models in epilepsy care: A critical review ### Summary This critical review discusses the potential use of large language models (LLMs) in epilepsy care and highlights their drawbacks and risks. ### Highlights - 💡 LLMs have a significant impact on future medical care, including epilepsy care. - 📚 The use of LLMs in epilepsy care can be integrated with electronic health records and improve clinical history taking. - 📊 Several LLM studies in epilepsy are currently available. - 🤝 Different LLM models are compared and their applicability in epilepsy is explored. - ⚠️ Important drawbacks and risks of LLMs are discussed. - 📌 Recommendations for overcoming limitations of LLMs are provided. #Epilepsy #LanguageModels #ArtificialIntelligence #Healthcare
Potential merits and flaws of large language models in epilepsy care: A critical review - PubMed
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Can Machine Learning be used for Autism Detection attaining results of increased accuracy? Check out a brief lay summary of our latest study presented at the ICETM International Conference in Aizuwakamatsu, Japan. University of Western Macedonia #eceuowm #aippublishing #kudos
Machine Learning can be used for Autism Detection attaining results of increased accuracy
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