In this episode, we discuss: 0:01:08-Zak’s unconventional journey to becoming a pioneering physician-scientist, & his early interactions with GPT-4 0:07:56-The evolution of AI from the earliest versions to today’s neural networks, & the shifting definitions of intelligence over time 0:21:00-How vast data sets, advanced neural networks, & powerful GPU technology have driven AI from its early limitations to achieving remarkable successes in medicine & other fields 0:32:16-An AI breakthrough in medicine: the ability to accurately recognize retinopathy 0:36:02-Third generation AI: how improvements in natural language processing significantly advanced AI capabilities 0:42:59-AI concerns & regulation: misuse by individuals, military applications, displacement of jobs, & potential existential concerns 0:58:16-How AI is enhancing image-based medical specialties like radiology 1:06:14-The use of AI by patients & doctors 1:15:05-The potential for AI to augment clinicians & address physician shortages 1:21:11 - The potential for AI to revolutionize early diagnosis & prediction of diseases: Alzheimer’s disease, CVD, autism, & more 1:32:12 - The future of AI in healthcare: integration of patient data, improved diagnostics, & the challenges of data accessibility & regulatory compliance 1:41:55 - The future of autonomous robotic surgery 1:49:48 - AI & the future of mental health care 1:54:11 - How AI may transform & disrupt the medical industry: new business models & potential resistance from established medical institutions 1:58:52 - Potential positive & negative impacts of AI outside of medicine over the next decade 2:03:22 - The implications of AI achieving a level of creativity & expertise comparable to exceptional human talents 2:08:02 - Digital immortality & legacy: the potential to emulate an individual's personality & responses & the ethical questions surrounding it 2:14:10 - Parting thoughts
Doctors, is the eye examination used to determine blood sugar able to determine other levels too? Are they developing ones that can be used by patients to check their own eyes?
I don’t even want to begin to tell just how many times radiologist has missed key findings on my imaging which have caused us to hit and miss and go wrong ways for so long until we’d review the same imaging years later and I’d hear “it was there all along and they just missed it” We need AI assist in review of imaging to make sure human eye doesn’t miss anything crucial to save lives…
I work in Ai. There are impressive models for many medical purposes. It’s a powerful tool for self advocacy by patients as it helps one understand the medical jargon and reduce gate keeping.
I have been waiting for this episode. The world is being rebuilt with AI, and it's astonishing how few people realize that. Thanks for recognizing the importance of this topic.
I don't believe the issue is that people don't realize it, I think almost everyone in the western world realizes it to some degree. The main issue with AI is there isn't enough nuanced conversation between experts, in a digestible format, and there's seemingly even less done for oversight.
It’s a good thing Peter has invested in his podcast side career as it soon may very well be his main career as human physicians are increasingly likely to be displaced 😅
Great talk. I confirm the low implementation level. I work for a big pharma company, and less than 5% of employees try to implement AI in their workflows. There is 95% resistance to even trying, unfortunately due to a lot of negative opinions based on using the terrible GPT-3.5 model.
Why don't we think that fields that are information and aalgo driven like oncology and ID are not the first ones to most benefit or be augmented by this technology? Imaging related fields are the obvious choice but not the easiest.
Great job giving an overview of the tech and its history. It helps this is one area Peter isn't an expert in, so the interview really helps people understand what's going on.
Great podcast! I found this to be useful in understanding the history of AI, and also most importantly discussing use cases and practical applications of this technology! Great work, Peter!
Omgosh! Captive is the dang truth!! I need to get my butt in gear on editing APIs, working on so many varied projects right now. Really interesting podcast, thank you!
There is a question about AI and for example, health information. If everything will be sent for example into an app from my phone and watch about health information and the rest is put in by for example Apple health your medicine, your blood pressure everything is put in there. I am a bit reluctant to put so much information in an open space …. And when I say open space . How safe is my information and could it be harvested by anyone although than the authorities were supposed to have it time after time we find out that our information and that is really personal information when we talk about health is shared with someone who is not supposed to have it, so it’s difficult to really use AI if you’re not safe to put in all the information. What if insurance company get hold of your information so you’re not able to have the insurance to cover you? It’s so easy that people who are not supposed to have the information are going to get it. I’m talking from Denmark and we are very digitalized, but we are , so dependent on the digital way of living and even though we have safety measurement time after time, we see the information goes to places is not supposed to go
Isaac is right: AI will make ALL doctors better - no doubt. While education and grading systems are important, they are not the sole indicators of a doctor's effectiveness. "Bottom vs. top" class rankings as a benchmark is limiting and shows overreliance on grades to defined competence. AI's greatest benefit is it will equalizes different skills between doctors regardless of academic performance. Perhaps (fingers crossed), AI will someday create a better grading system AND (better yet) CHOOSE BETTER CANDIDATES.
I know this ha nothing g to do with the episode at hand , I recently heard a statement about how construction workers eat their necessary calories on any given day to maintain or surplus. Also grip strength I work a Intensive hand tool job and I can't hang from a bar for the extended time to say I'm in good health . I'm almost willing to bet if a strong grip person worked my job they would not be able to hang as long as they would under normal circumstances , is there data on construction men that I can't find or is it a category that needs more study?
Its hard to be a good diagnostician because so many things share symptoms, and patients are pretty bad at describing things (if they even notice them). The "standard and usual" insurance/board guard rails drive a lot of options. The best thing I would life to see MDs do is jump on the healthy food wagon and admit food has been poisoning people. People are really on to the ways they are being poisoned and it makes medical field look bad. Freight trains of arms and legs have been amputated off diabetics because of awful food pyramids etc. "Hey Mr Diabetes - make sure you eat grains a lot!" OMG
Hope AI brings back old natural remedies, pharmaceuticals keep you sick for your money and you become addicted to different medication because they change every visit
In this episode, we discuss:
0:01:08-Zak’s unconventional journey to becoming a pioneering physician-scientist, & his early interactions with GPT-4
0:07:56-The evolution of AI from the earliest versions to today’s neural networks, & the shifting definitions of intelligence over time
0:21:00-How vast data sets, advanced neural networks, & powerful GPU technology have driven AI from its early limitations to achieving remarkable successes in medicine & other fields
0:32:16-An AI breakthrough in medicine: the ability to accurately recognize retinopathy
0:36:02-Third generation AI: how improvements in natural language processing significantly advanced AI capabilities
0:42:59-AI concerns & regulation: misuse by individuals, military applications, displacement of jobs, & potential existential concerns
0:58:16-How AI is enhancing image-based medical specialties like radiology
1:06:14-The use of AI by patients & doctors
1:15:05-The potential for AI to augment clinicians & address physician shortages
1:21:11 - The potential for AI to revolutionize early diagnosis & prediction of diseases: Alzheimer’s disease, CVD, autism, & more
1:32:12 - The future of AI in healthcare: integration of patient data, improved diagnostics, & the challenges of data accessibility & regulatory compliance
1:41:55 - The future of autonomous robotic surgery
1:49:48 - AI & the future of mental health care
1:54:11 - How AI may transform & disrupt the medical industry: new business models & potential resistance from established medical institutions
1:58:52 - Potential positive & negative impacts of AI outside of medicine over the next decade
2:03:22 - The implications of AI achieving a level of creativity & expertise comparable to exceptional human talents
2:08:02 - Digital immortality & legacy: the potential to emulate an individual's personality & responses & the ethical questions surrounding it
2:14:10 - Parting thoughts
Doctors, is the eye examination used to determine blood sugar able to determine other levels too? Are they developing ones that can be used by patients to check their own eyes?
I don’t even want to begin to tell just how many times radiologist has missed key findings on my imaging which have caused us to hit and miss and go wrong ways for so long until we’d review the same imaging years later and I’d hear “it was there all along and they just missed it”
We need AI assist in review of imaging to make sure human eye doesn’t miss anything crucial to save lives…
I work in Ai. There are impressive models for many medical purposes. It’s a powerful tool for self advocacy by patients as it helps one understand the medical jargon and reduce gate keeping.
I have been waiting for this episode. The world is being rebuilt with AI, and it's astonishing how few people realize that. Thanks for recognizing the importance of this topic.
I don't believe the issue is that people don't realize it, I think almost everyone in the western world realizes it to some degree.
The main issue with AI is there isn't enough nuanced conversation between experts, in a digestible format, and there's seemingly even less done for oversight.
It’s a good thing Peter has invested in his podcast side career as it soon may very well be his main career as human physicians are increasingly likely to be displaced 😅
loved it...we live in exciting times.. internet and now this...
Great talk. I confirm the low implementation level. I work for a big pharma company, and less than 5% of employees try to implement AI in their workflows. There is 95% resistance to even trying, unfortunately due to a lot of negative opinions based on using the terrible GPT-3.5 model.
lol let them eat cake
I work on health tech and am doing my best to train to get ahead of the release of gpt 5
What a fantastic and insightful interview !!! Thank you so much Dr Attia definitively MINDBLOWING
Why don't we think that fields that are information and aalgo driven like oncology and ID are not the first ones to most benefit or be augmented by this technology? Imaging related fields are the obvious choice but not the easiest.
An absolutely BRILLIANT episode, Peter.
Such a world of difference in the audio/video quality!
Great job giving an overview of the tech and its history. It helps this is one area Peter isn't an expert in, so the interview really helps people understand what's going on.
Great podcast! I found this to be useful in understanding the history of AI, and also most importantly discussing use cases and practical applications of this technology! Great work, Peter!
Omgosh! Captive is the dang truth!! I need to get my butt in gear on editing APIs, working on so many varied projects right now. Really interesting podcast, thank you!
As a developer creating models for diagnosis , I cant wait to see the benifit this has for early detection.
The algorithm blessed me with your channel, easiest sub of my life
Do you think AI is more likely to treat women’s symptoms as real? Or is it being programmed with existing bias ?
please stop
Let us know where all the Auto Antibodies with the illness they are attributed to, can be found?
Great episode…. BTW Google GCP and Amazon AWS is also HIPAA compliant not just MS.
There is a question about AI and for example, health information. If everything will be sent for example into an app from my phone and watch about health information and the rest is put in by for example Apple health your medicine, your blood pressure everything is put in there. I am a bit reluctant to put so much information in an open space …. And when I say open space . How safe is my information and could it be harvested by anyone although than the authorities were supposed to have it time after time we find out that our information and that is really personal information when we talk about health is shared with someone who is not supposed to have it, so it’s difficult to really use AI if you’re not safe to put in all the information.
What if insurance company get hold of your information so you’re not able to have the insurance to cover you? It’s so easy that people who are not supposed to have the information are going to get it.
I’m talking from Denmark and we are very digitalized, but we are , so dependent on the digital way of living and even though we have safety measurement time after time, we see the information goes to places is not supposed to go
Isaac is right: AI will make ALL doctors better - no doubt. While education and grading systems are important, they are not the sole indicators of a doctor's effectiveness. "Bottom vs. top" class rankings as a benchmark is limiting and shows overreliance on grades to defined competence. AI's greatest benefit is it will equalizes different skills between doctors regardless of academic performance. Perhaps (fingers crossed), AI will someday create a better grading system AND (better yet) CHOOSE BETTER CANDIDATES.
I know this ha nothing g to do with the episode at hand , I recently heard a statement about how construction workers eat their necessary calories on any given day to maintain or surplus. Also grip strength I work a Intensive hand tool job and I can't hang from a bar for the extended time to say I'm in good health . I'm almost willing to bet if a strong grip person worked my job they would not be able to hang as long as they would under normal circumstances , is there data on construction men that I can't find or is it a category that needs more study?
Thx In advance doc
Apple heart does show trends.
Its hard to be a good diagnostician because so many things share symptoms, and patients are pretty bad at describing things (if they even notice them). The "standard and usual" insurance/board guard rails drive a lot of options. The best thing I would life to see MDs do is jump on the healthy food wagon and admit food has been poisoning people. People are really on to the ways they are being poisoned and it makes medical field look bad. Freight trains of arms and legs have been amputated off diabetics because of awful food pyramids etc. "Hey Mr Diabetes - make sure you eat grains a lot!" OMG
I am going to to say that dentists and dental hygienists are not going to be replaceable any time in the near future. Sorry Chat-GPT.
Tell you have not seen intelligent robotics without telling me
@@l.z.4953 Tell me you have not needed extensive complicated dental care without telling me.
Do no harm should mean use AI to augment your inability to see past your specialization lol
Thanks for removing my comment!
Attia not knowing whatvhe is saying on this podcast
Hope AI brings back old natural remedies, pharmaceuticals keep you sick for your money and you become addicted to different medication because they change every visit