International Journal For Multidisciplinary Research

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Navigating the Medical Landscape: A Review of Chatbots for Biomarker Extraction from Diverse Medical Reports

Author(s) Siddhartha Nuthakki, Arvind Dayal Uttiramerur, Yudhisthir Nuthakki, Mahesh Babu Munjala
Country USA
Abstract This research investigates the potential of chatbots to revolutionize the extraction of biomarkers from a variety of medical reports, such as pathology reports, CT scans, and Electronic Health Record (EHR) notes. The research sheds light on the histories, training approaches, and uses of popular chatbots including ChatGPT, Google Bard, and Jasper Chat through a comparative examination, providing insights into their efficacy in healthcare settings. Issues with data privacy, complicated integration, ethical issues, and technological constraints are explored, illuminating the challenging terrain of deploying chatbots for biomarker extraction. The ramifications for healthcare are discussed as the research comes to a close, with a focus on the possibility of better patient outcomes, more accurate diagnosis, and the development of tailored therapy. Future research recommendations emphasize the continued need for algorithm optimization, innovative integration exploration, and ethical considerations.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 6, Issue 1, January-February 2024
Published On 2024-02-06
Cite This Navigating the Medical Landscape: A Review of Chatbots for Biomarker Extraction from Diverse Medical Reports - Siddhartha Nuthakki, Arvind Dayal Uttiramerur, Yudhisthir Nuthakki, Mahesh Babu Munjala - IJFMR Volume 6, Issue 1, January-February 2024. DOI 10.36948/ijfmr.2024.v06i01.13154
DOI https://doi.org/10.36948/ijfmr.2024.v06i01.13154
Short DOI https://doi.org/gtg6pb
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