About the Project
A large number of people across our country, due to improper medical check up and lack of timely diagnosis are suffering from incurable medical conditions. People rely on doctors that charge a huge amount of money as consultancy fees and in a few places there are lower number of specialist doctors that could provide people with proper consultancy and treatment. While it is cheaper to go on Google to self-diagnose rather than to visit a doctor, this often leads to inaccurate diagnosis and can be extremely dangerous as they might follow a wrong treatment plan or may not realize the severity of their condition.
That is where E-Medico comes in, it can help people get a diagnosis of multiple diseases within a matter of seconds, thus helping with early detection of life threatening diseases. As we have seen during the pandemic there is a huge shortage of doctors in the industry. The healthcare industry is ripe for some major changes. From quick consultation to risk prediction, there are endless possibilities to leverage technology to deploy more precise and efficient care for patients. AI and machine learning can make the work of physicians, nurses and the other healthcare workers easier and save the lives of patients.
E-Medico addresses the opportunity of using AI and machine learning in risk prediction and consultation of diseases for improving efficiency. E-Medico functions as a virtual AI medical assistant. It is deployed as a web application using azure web apps( app service) leveraging the server less computing technology it provides. It uses azure health bot to rapidly and systematically process patient symptoms and help them identify the correct diagnosis. It also uses machine learning models to predict if a patient has high or low risk of getting a particular disease as ML models can quickly identify diseases that are hard to diagnose. This will help the patient to get a quicker and a better treatment. Using AI in healthcare to predict risk can help the physicians detect diseases in their early stages before they become life threatening. Such a project can tackle several problems in the existing healthcare system and can enhance healthcare delivery and improve efficiency by physicians, nurse practitioners and healthcare workers.
An added bonus: Patients and doctors can use E-Medico as an extra tool to get an instantaneous second opinion and avoid any false negative/positive results, further reducing the load of the healthcare system, making this web application socially sustainable. It is also a safe and low-carbon health system, protecting the environment.
What's next for E-Medico: AI for health care
My aim is to create an application that could one day completely automate the consultation process in healthcare and will be able to detect any disease so that patients can get early treatment which could save their lives.
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