Nuance AI technology is changing the medical field in a positive way but allowing the doctor/provider/staff to focus more on patient care while documentation quality is not sacrificed!! As a person who has worked in the healthcare field for 39 years, this is the most exciting thing since radiology advancement from plain images to CT/MRI!! Imagine quality documentation from a simple patient conversation during a patient visit turned into a SOAP note, reviewed by a QA team with years of experience to correct any mistakes, and sent back to the provider for review and signature!! This will prevent provider and staff burnout!!
Before I started radiology residency, all of my family friends tried to dissuade me from going into it because "it was going to be replaced by machines". I do think radiologists need to do a better job educating and interacting with the public.
Definitly my opinion too. I gotta admit, sometimes I'm still a little worried if the radiology path is a secure one, but listening to like all experts in the topic, we should be fine.
It's not about replacing completely (100% of his tasks ) radiologists, it's about replacing them progressively and diminishing their value. The real question is not about "will ai replace radiologists". But how much money will make radiologists and how many of them will be needed as AI gets better and spreads. If in 5 years 25% of what a radiologist do today can be done better with ai, do you think the value of the radiologist will be 100% of what it is today? Will we still need as many radiologists as today? What about in 10 years, 15 years?
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Nuance AI technology is changing the medical field in a positive way but allowing the doctor/provider/staff to focus more on patient care while documentation quality is not sacrificed!! As a person who has worked in the healthcare field for 39 years, this is the most exciting thing since radiology advancement from plain images to CT/MRI!! Imagine quality documentation from a simple patient conversation during a patient visit turned into a SOAP note, reviewed by a QA team with years of experience to correct any mistakes, and sent back to the provider for review and signature!! This will prevent provider and staff burnout!!
this is great
Before I started radiology residency, all of my family friends tried to dissuade me from going into it because "it was going to be replaced by machines". I do think radiologists need to do a better job educating and interacting with the public.
Definitly my opinion too. I gotta admit, sometimes I'm still a little worried if the radiology path is a secure one, but listening to like all experts in the topic, we should be fine.
No, it won't. It's just the peak where it's the AI at
It's not about replacing completely (100% of his tasks ) radiologists, it's about replacing them progressively and diminishing their value.
The real question is not about "will ai replace radiologists".
But how much money will make radiologists and how many of them will be needed as AI gets better and spreads.
If in 5 years 25% of what a radiologist do today can be done better with ai, do you think the value of the radiologist will be 100% of what it is today? Will we still need as many radiologists as today?
What about in 10 years, 15 years?
but it will take time for machines
@@tndna as a doctor i can tell you in 20 years 70% of doctors will not be needed.
regarding huge mount of the labeled sample, it is possible to use GAN to generate these sample ?
Yes, GANS is a promising type of deep learning which can solve the issues such limited data.
Nice topics to discuss...