Doctor Patient Assistance System Using Artificial Intelligence
V Muthuraju, Dheemanth Manur, Mohammed Firaaz Farook, Chandan Gowda K S, Sharaschandra M Desai · 2021 Second International Conference on Electronics and Sustainable Communication Systems (ICESC) · 2021
The world is digitizing, and many chores, such as bank transactions and internet payments, are being digitized as a result. With the advancement of technology, we may also consider digitizing doctor-patient interactions in order to avoid personally consulting a doctor. This paper suggests a diagnostic conversation by utilizing artificial intelligence to better identify the illness before a doctor's appointment and include specific knowledge regarding the disease. This would increase the insurance expenses, improve the exposure of a larger population to treatment, and expand the exposure of a broader community to medical assistance. Some chatbots function like a medical guidebook and will help patients/doctors search for knowledge about any illness, but to profit entirely from a chatbot, all necessary tools must be used in order to support them identify and include the details required for disease detection. Both remedies and signs for the actual disease are not known by the average layman. With certain things that do not create any pain, this chatbot does not travel to a hospital directly with checks, because it might be a waste of time. The chatbot uses NLP to master the human language, which aims to grasp patients' health issues. The patient will raise questions dependent on healthcare without needing to travel to a doctor or clinic.