The survey on GPT-3 driven NLP approach for automatic medical documentation

• Main Authors: Arasu, Nithya, Devadoss, Ambeth Kumar Visvam, Karunakaran, Dhivyesh Anand
• Format: Conference Proceeding
• Language: English
• Subjects: Algorithms; Artificial intelligence; Health care facilities; Heart diseases; Human body; Machine learning; Random sampling; Recording
• ISSN: 0094-243X; 1551-7616
• DOI: 10.1063/5.0152503

GPT-3 has attracted a lot of people because of its advanced performance in all various NLP activities, especially with its practical and flexible content within a few contents achieved knowledge capabilities. Despite its success, we observed that the outcomes of the GPT-three are highly depending on the selection of content in the content material on these paintings, we’re investigating whether there are any more effective techniques for cleverly deciding on car fashions (associated with random sampling) that make higher use of a few GPT3 photography abilities. With the help of GTP-3 doctors can test the procedure sheet after surgery. GPT-3 uses a wide range of technologies such as artificial intelligence, machine learning algorithms, IoT etc. People had seen many heart diseases in the cardio-vascular system of the human body and recording functional processes takes a lot of pressure on the human body and mind. By using GPT-3 we can leave the recording function to AI and the result will be stored on the server website or medical center where treatment is provided.