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Transforming Healthcare: Integrating Large-Scale Language Modelling in to Chatbot Systems for Instant Medical Information
2024
Zenodo
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This study investigates the vital role of highlevel language models (LLMs) in advancing the medical field and underscores the need for incorporating these models into a biomedical chatbot framework. ...
This study showcases the efficacy of integrating GPT 3.5 Turbo, PaLM2, and Gemini Pro into a biomedical chatbot framework, exhibiting their accuracy and response time. ...
Model Training In the case of chatbot using PaLM 2, in order to achieve domain specificity for the biomedical chatbot, Makersuite platform was leveraged for data prompt tuning, hyperparameters included ...
doi:10.5281/zenodo.10649890
fatcat:shcthwqtnnfsvnrrfvr5lgm4uy
ChatGPT offers an editorial on the opportunities for chatbots in dermatologic research and patient care
2024
Dermatology Online Journal
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We explore the opportunities and risks of integrating chatbots into dermatologic patient care and research while presenting ChatGPT's response to the same question. ...
As a mature, conversational chatbot, ChatGPT can respond to follow-up questions and produce coherent primary texts based on the user's request. ...
Chatbots can also be used to support clinical trials by providing patients with information about the study and answering any questions they may have. ...
doi:10.5070/d329662990
pmid:38478661
fatcat:xrr2emlcffdjlg2az24ncuxoyq
A RAG Chatbot for Precision Medicine of Multiple Myeloma
[article]
2024
medRxiv
pre-print
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Our framework integrates the BioMed-RoBERTa-base model for embedding generation (Gururangan et al., 2020) and the Mistral-7B language model for question answering (Anthropic, 2023), enabling effective ...
Deployed using Amazon Kendra, our RAG chatbot offers a user-friendly and scalable platform for accessing MM information, incorporating features such as user authentication, customizable web interface, ...
The work by applies RAG to the task of biomedical question answering using a large-scale corpus of scientific literature. ...
doi:10.1101/2024.03.14.24304293
fatcat:guwdz2fg6zchboknzsapnr4wlq
Performance of ChatGPT on USMLE: Unlocking the Potential of Large Language Models for AI-Assisted Medical Education
[article]
2023
arXiv
pre-print
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In order to improve ChatGPT's performance in the future, further research is needed to better understand how it can answer different types of questions. ...
Considering the widespread use of ChatGPT and the reliance people place on it, this study determined how reliable ChatGPT can be for answering complex medical and clinical questions. ...
An American AI research laboratory, OpenAI, released AI-based chatbot called Chat Generative Pre-Trained Transformer (ChatGPT) on November 30, 2022. ...
arXiv:2307.00112v2
fatcat:7hmoczde4rdcjfmet4ryyccndy
Text Mining In Healthcare
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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Finally, the paper highlights the need for personalized prescriptive systems for patients and healthcare professionals ...
to question identify best answer for given Only yes/no type questions 5 A Novel Approach For Medical Assistance Trained ChatBot Using Rule based system -- Given the name and system can describe the medicine ...
Medical question Answering Hybrid method to find global result Finding syntactic In question and decomposing it to answer complex questions 7 Natural Questions: A Benchmark For Question Answering Research ...
doi:10.35940/ijitee.b1111.1292s19
fatcat:s6rtt3a33ncrfgpxpksnu2hdny
A Qualitative Evaluation of Language Models on Automatic Question-Answering for COVID-19
[article]
2020
arXiv
pre-print
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Online communities, forums, and social media provide potential venues to search for relevant questions and answers, or post questions and seek answers from other members. ...
In this paper, we propose to apply a language model for automatically answering questions related to COVID-19 and qualitatively evaluate the generated responses. ...
for COVID-19. • We built a web-based chatbot using the language models that facilitate question-answering for users. ...
arXiv:2006.10964v2
fatcat:tjqnivt32fanjd4pola2vpssbu
Generative Pre-Trained Transformer-Empowered Healthcare Conversations: Current Trends, Challenges, and Future Directions in Large Language Model-Enabled Medical Chatbots
2024
BioMedInformatics
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Examining the evolution of LLMs within NLP frameworks, the paper discusses key models used in healthcare, exploring their advantages and implementation challenges. ...
This review explores the transformative integration of artificial intelligence (AI) and healthcare through conversational AI leveraging Natural Language Processing (NLP). ...
We acknowledge the use of ChatGPT [https://chat.openai.com/ accessed on 11 March 2024] to assist in proofreading the paper.
Conflicts of Interest: The authors declare no conflicts of interest. ...
doi:10.3390/biomedinformatics4010047
fatcat:fjvs4jqnw5afvhbirukufjbtu4
Is ChatGPT ready to change mental healthcare? Challenges and considerations: a reality-check
2024
Frontiers in Human Dynamics
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One such application getting tremendous attention from users and researchers alike is Chat Generative Pre-trained Transformer (ChatGPT). ...
ChatGPT interacts with clients conversationally, answering follow-up questions, admitting mistakes, challenging incorrect premises, and rejecting inappropriate requests. ...
There is a need for mental health professionals to be trained in the use of AI in mental health practice and also research and equip them for AI-assisted therapy. ...
doi:10.3389/fhumd.2023.1289255
fatcat:4s266katevcdjkdulrdjleewbi
ChatGPT Review: A Sophisticated Chatbot Models in Medical & Health-related Teaching and Learning
2023
Malaysian journal of medicine and health sciences
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Chatbots are being used in the medical related field for teaching & learning, mental state categorisation, medication recommendation, health education and awareness. ...
The findings show the exponential growth and potential of ChatGPT and chatbots in healthcare and medical education, as well as the necessity for more research and development in this sector. ...
ChatGPT's accuracy in answering the exam question was unrelated to the items' knowledge level [32] . ...
doi:10.47836/mjmhs.19.s12.12
fatcat:pvl4i322rvb4fhfigzhjgpgqwq
Question Answering in the Biomedical Domain
2019
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
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We aim to address some of these gaps by extending and developing upon the literature to design a question answering system that can decide on the most appropriate answers for patients attempting to self-diagnose ...
Question answering techniques have mainly been investigated in open domains. However, there are particular challenges in extending these open-domain techniques to extend into the biomedical domain. ...
We aim to address the challenges in applying question answering to biomedical question answering for patients. ...
doi:10.18653/v1/p19-2008
dblp:conf/acl/Nguyen19
fatcat:23yy6eohofh7tepzp4iixore2e
Intent Recognition in Conversational Recommender Systems
[article]
2022
arXiv
pre-print
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Since performance evaluation is achieved based on different ML models, we use transformer base models to evaluate the proposed approach using a labelled dialogue dataset (MSDialogue) of question-answering ...
interactions between information seekers and answer providers. ...
Acknowledgements -I acknowledge the Centre for Applied Artificial Intelligence at Macquarie University for funding My Master by Research project. ...
arXiv:2212.03721v1
fatcat:rzclaq5btrcazfm62qi2gxyzv4
Large language models in healthcare and medical domain: A review
[article]
2023
arXiv
pre-print
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This review provides a comprehensive exploration of the current landscape of LLMs in healthcare, addressing their role in transforming medical applications and the areas that warrant further research and ...
These tasks encompass a wide spectrum, ranging from named entity recognition and relation extraction to natural language inference, multi-modal medical applications, document classification, and question-answering ...
"GatorTron" excels in semantic textual similarity and medical question answering, whereas "BioMedLM" narrows its focus to biomedical question answering. ...
arXiv:2401.06775v1
fatcat:6eh5ives4jaubcyif5wtdky7ye
Artificial Intelligence in Action: Addressing the COVID-19 Pandemic with Natural Language Processing
2021
Annual Review of Biomedical Data Science
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We detail work on four core NLP tasks: information retrieval, named entity recognition, literature-based discovery, and question answering. ...
Expected final online publication date for the Annual Review of Biomedical Data Science, Volume 4 is July 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates. ...
ACKNOWLEDGMENTS This research is supported by the NIH Intramural Research Program, National Library of Medicine. ...
doi:10.1146/annurev-biodatasci-021821-061045
pmid:34465169
fatcat:gxtcwu5ih5gx3la6ea4674pnmu
Design and Execution of Integrated Clinical Pathway: A Simplified Meta-Model and Associated Methodology
2020
Information
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ICPs represent an effective tool for resource management in the public and private health domains. ...
Tests performed on a real ICP showed that, thanks to the proposed solution, the chatbot engine is able to engage in a dialogue with the patient. ...
The latter deals with a scripted chatbot, based on giving structured answers to frequently asked questions. ...
doi:10.3390/info11070362
fatcat:apxd7jw2lrcpvovnc2dyn6cu2u
Teaching Artificial Intelligence and Robotics to Undergraduate Systems Engineering Students
2019
International Journal of Modern Education and Computer Science
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engineers, biomedical engineers, and electrical engineers. ...
The skills of artificial intelligence (AI) and robotics provide a wide window of job opportunities for the following professionals: computer scientists, mechanical engineers, system engineers, computer ...
Similarly, we'd like to give many thanks to the following senior systems engineering students for participating in this research: Edgar Alvarado, Mariana Camejo, Darelyssmar Castro, Alexander Paredes, ...
doi:10.5815/ijmecs.2019.07.06
fatcat:pvpoqlwbczgkbk2hnge7hzqjgi
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