Robuta

https://www.jmir.org/2025/1/e78625/
Background: Cardiovascular disease (CVD) remains the leading cause of death worldwide, yet many web-based sources on cardiovascular (CV) health are...
large language modelsinternet researchjournalmedicalevaluating
https://jmir.org/2025/1/e69284/citations
Background: Mental health is emerging as an increasingly prevalent public issue globally. There is an urgent need in mental health for efficient detection...
internet researchlarge languagejournalmedicalapplications
https://openreview.net/forum?id=EU9U8WViem&referrer=%5Bthe%20profile%20of%20Maria%20Vakalopoulou%5D(%2Fprofile%3Fid%3D~Maria_Vakalopoulou1)
Vision-language models (VLMs) pre-trained at large scale have shown unprecedented transferability capabilities and are being progressively integrated into...
language modelsfullconformaladaptationmedical
https://aclanthology.org/2024.emnlp-main.677/
Daniel P Jeong, Saurabh Garg, Zachary Chase Lipton, Michael Oberst. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing....
large languagemedicaladaptationvisionmodels
https://www.jmir.org/2025/1/e76265
Background: Electronic cigarette (e-cigarette) use is prevalent in youth and young adults in the US. TikTok, a popular social media platform among youth and...
large language modelsinternet researchjournalmedicalleveraging
https://openreview.net/forum?id=ZjQ04tsRQl&referrer=%5Bthe%20profile%20of%20Adam%20Mahdi%5D(%2Fprofile%3Fid%3D~Adam_Mahdi1)
Large language models (LLMs) have made rapid improvement on medical benchmarks, but their unreliability remains a persistent challenge for safe real-world...
large language modelssharedweaknessesmedicalquestion
https://www.jmir.org/2025/1/e54601
Background: The implementation of large language models (LLMs), such as BART (Bidirectional and Auto-Regressive Transformers) and GPT-4, has revolutionized the...
large language modelsinternet researchjournalmedicalusing
https://jmir.org/2024/1/e59505/citations
In the complex and multidimensional field of medicine, multimodal data are prevalent and crucial for informed clinical decisions. Multimodal data span a broad...
large language modelsinternet researchjournalmedicalmultimodal
https://www.jmir.org/2025/1/e64452/
Background: Clinical problem-solving requires processing of semantic medical knowledge such as illness scripts and numerical medical knowledge of diagnostic...
large language modelsinternet researchjournalmedicalperformance
https://openreview.net/forum?id=9d6IOxpHnk&referrer=%5Bthe%20profile%20of%20Matteo%20Pagliardini%5D(%2Fprofile%3Fid%3D~Matteo_Pagliardini1)
Large language models (LLMs) can potentially democratize access to medical knowledge. While many efforts have been made to harness and improve LLMs' medical...
large language modelsmeditronscalingmedicalopenreview
https://arxiv.org/abs/2412.10848
Abstract page for arXiv paper 2412.10848: Large Language Models for Medical Forecasting -- Foresight 2
large language modelsmedicalforecastingforesight
https://journals.plos.org/digitalhealth/article?id=10.1371/journal.pdig.0001001
large language modelsevaluatingantilgbtqiamedical
https://www.jmir.org/2025/1/e64452/tweetations
Background: Clinical problem-solving requires processing of semantic medical knowledge such as illness scripts and numerical medical knowledge of diagnostic...
large language modelsinternet researchjournalmedicalperformance
https://huggingface.co/papers/2407.11536
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medical language modelsfine tuningpaperenhancedlong
https://www.jmir.org/2025/1/e67383
Background: Large language models (LLMs) are transforming how data is used, including within the health care sector. However, frameworks including the Unified...
internet researchjournalmedicalperspectivesexperiences