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

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.