Very interesting idea! - your auto mechanic doesn't need to know the basic physics behind an engine working. Provides hope that the AI revolution doesn't necessarily need to leave us behind if we're smart in the way we approach it
I’m a healthcare professional trying to involve myself in ML and healthcare AI. To be honest I did not find any significant take-home point of this talk, other than the fact that the role and potential of AI in this sector is too obvious to ignore. Feel welcome to add any other take-home message from your end.
The key point is to reduce the toils involved from a health practitioner to look into the clinical data to make that right judgement using AI. Additionally having AI to monitor health progress before and after taking medicine for improvements rather than going to the health practitioner again to see if that medicine worked.
This talk was given before anyone saw the revolution in protein folding prediction and large language models coming. It all happened so fast that this is very outdated. The take-home point now would still not be much different for the average healthcare professional except that "things are getting really crazy really fast".
SEMA4's AI Centrallis platform will lead the change in Healthcare.
Excellent! A paradigm shift is over due in terms of health care and how we solve problems in this time and age.
Little did he know what was coming in terms of protein folding prediction and large language models.
Make the singularity vision happen sooner than 2045 - preferably by 2030
Very interesting idea! - your auto mechanic doesn't need to know the basic physics behind an engine working. Provides hope that the AI revolution doesn't necessarily need to leave us behind if we're smart in the way we approach it
I’m a healthcare professional trying to involve myself in ML and healthcare AI. To be honest I did not find any significant take-home point of this talk, other than the fact that the role and potential of AI in this sector is too obvious to ignore.
Feel welcome to add any other take-home message from your end.
The key point is to reduce the toils involved from a health practitioner to look into the clinical data to make that right judgement using AI. Additionally having AI to monitor health progress before and after taking medicine for improvements rather than going to the health practitioner again to see if that medicine worked.
This talk was given before anyone saw the revolution in protein folding prediction and large language models coming. It all happened so fast that this is very outdated. The take-home point now would still not be much different for the average healthcare professional except that "things are getting really crazy really fast".
Interesting video, time is a critical element in many natural processes
That was good what's with all the commenter hate? Oh yeah it's youTube never mind.
Well-explained. Very informative video and speech.
Can u give an innovative project idea that related to Artificial intelligence ???
nice talk
what a waste of time
Then you guys did not understand the hidden meaning. Maybe this is not for you. Do something else.
Most guys commenting here did not get the message. Lol
It's Leh-grahnj not Leh-grainj
How annoying are his labial clicks. -.-
robots dont smack their lips all the time
Sorry but a complete waste of time :(
if your our hope for AI in healthcare, we may have a problem!
Did he actually say anything useful at all?