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Using An Artificial Intelligence (Ai) Tool (Chatgpt) To Identify The Main Indications And Side Effects Of Drugs In Patient Medical Records, Mai Elzieny, Zhenhong Qu
Using An Artificial Intelligence (Ai) Tool (Chatgpt) To Identify The Main Indications And Side Effects Of Drugs In Patient Medical Records, Mai Elzieny, Zhenhong Qu
Conference Presentation Abstracts
Context: Drug history is important clinical information for the correct histologic diagnosis of a wide variety of nonneoplastic diseases, such as hepatitis, gastritis, and colitis. As pathologists, however, keeping a strong knowledge of all drugs (and variations of drug names) can be challenging. Using online databases to find relevant drug information one at a time is very time-consuming.
Design: Sixty-seven drugs were collected from the medical records of 5 randomly selected patients. ChatGPT (https://chat.openai.com/chat) was instructed to identify (1) the main clinical indications, and (2) the major side effects of each drug, using the prompt “List the major indications and …
Audit Tumor Reports In Pathology For Completeness And Compliance By An Artificial Intelligence Tool, Chatgpt, Ashbita Pokharel, Keran Zhao, Reenal Patel, Jack W. Qu, Zhenhong Qu
Audit Tumor Reports In Pathology For Completeness And Compliance By An Artificial Intelligence Tool, Chatgpt, Ashbita Pokharel, Keran Zhao, Reenal Patel, Jack W. Qu, Zhenhong Qu
Conference Presentation Abstracts
Context: A tumor synoptic report (TSR) audit is an important quality control tool for compliance with reporting requirements; however, no simple audit tool is readily available to most pathologists. ChatGPT (https://chat.openai.com/chat) is an emerging artificial intelligence tool with wide applications. Its ability to extract data from text content has been widely reported but lacks evidence-based validation for its application in medicine. We assess the effectiveness of ChatGPT to identify and extract key data elements of TSRs and detect missing elements.
Design: Forty synoptic reports of malignant tumors of the lung, kidney, colon, and uterus were collected randomly. Key data elements …
Enhancing Pathology Report Analysis With Artificial Intelligence: A Validation Study Of Chatgpt's Effectiveness In 444 Cases, Zhenhong Qu, Megan Wang, Christian Santiago, Jack W. Qu, Ping Zhang
Enhancing Pathology Report Analysis With Artificial Intelligence: A Validation Study Of Chatgpt's Effectiveness In 444 Cases, Zhenhong Qu, Megan Wang, Christian Santiago, Jack W. Qu, Ping Zhang
Conference Presentation Abstracts
Context: Despite years of efforts, the pathology report lacks standardization for its gross description. This inevitably leads to the occasional omission of key data elements, and difficulty to identify key elements in a lengthy unstructured report. A novel artificial intelligence (AI) tool, ChatGPT by OpenAI (San Francisco, California), was reportedly proficient in extracting keywords from text content. We assess the effectiveness of ChatGPT to quickly find multiple data elements in reports and detect missing data elements.
Design: Gross description of 444 pathology reports of several common organ types was submitted to ChatGPT (https://chat.openai.com/chat) that extracted and listed key data elements …