Summary : There is a high burden of data entry tasks when using any medical record. This takes away from patient care as doctors are forced to spend a lot of time entering all the required fields. Voice transcribing/ dictation solutions exist , but are expensive and some do not work for medical jargon
This project will be to integrate into the #toolkit project a trained voice model based on the DeepSpeech project of Mozilla - referenced here
Hi,
I am really interested in this project as I am a Ph.D. student in the smart healthcare field. I have a question about the training part: are we intending to use existing datasets for reporting about radiology, or we want to create the voice donation tool firts, and then train on the collected data?
And thank you,
Hi. I am Avinash Agarwal, a GSoC aspirant and I am really interested in this project as I have always been in favour of using Machine Learning to solve real-life medical problems. I will be very grateful to work in a team which serves this purpose. Could you please help me how to get started? Is there any specific screening task we are supposed to complete first?
Hello,I am Raghuram. I’m really interested in this project but I have a question regarding voice recognition i.e there are cases where the patient’s voice might change like Pharyngitis and Tonsillitis. Are there any measures?? or we should develop a system that detects even with these problems??