A Reality Check On Artificial Intelligence hey I am 63 and I have not been replaced by a computer yet!
IBM boasted that its AI could “outthink cancer.” Others say computer systems that read X-rays will make radiologists obsolete.
Major points from
A Reality Check On Artificial Intelligence: Are Health Care Claims Overblown?
As happens when the tech industry gets involved, hype surrounds the claims that artificial intelligence will help patients and even replace some doctors.
By Liz Szabo DECEMBER 30, 2019
https://medicalfuturist.com/search?term=Influenza my score 0/10
https://medicalfuturist.com/search?term=Influenza my score 1/10
"Of all the industries in which technology plays an important role, healthcare is one of the most crucial. In healthcare, technology can help solve staffing issues, improve efficiencies, enhance the relationship between medical professionals and patients and, ultimately, provide cheaper, faster and more effective healthcare solutions like pharmaceutical drugs and patient treatment plans."
With an increasing number of physicians and healthcare providers reaching retirement age, AI is going to become a major solution in the ongoing healthcare staffing shortage:
"A young Johns Hopkins University fellow recently asked that question while chatting with Elliot Fishman, MD, about artificial intelligence (AI). The two men were on the opposite ends of the career spectrum: Fishman has been a professor of radiology and oncology at Johns Hopkins Medicine since 1980; the fellow was preparing for his first job as a radiologist.
“I said, ‘Well, I think it’s going to change what we do, but the good news is, at least you’re not a pathologist,’” Fishman recalls. “And he goes, ‘My wife is just graduating and she’s a pathologist.’ So I said, ‘Put away as much money as you can really fast.’”
Fishman laughs when he tells the story, but he understands the concern. Over the past few years, many AI proponents and medical professionals have branded radiology and pathology as dinosaur professions, doomed for extinction. In 2016, a New England Journal of Medicine article predicted that “machine learning will displace much of the work of radiologists and anatomical pathologists,” adding that “it will soon exceed human accuracy.” That same year, Geoffrey Hinton, PhD, a professor emeritus at the University of Toronto who also designs machine learning algorithms for Google (and who received the Association for Computing Machinery’s A.M. Turing Award, often called the Nobel Prize of computing, in 2019), declared, “We should stop training radiologists now."
On a note of caution read
What if AI in health care is the next asbestos?
IBM boasted that its AI could “outthink cancer.” Others say computer systems that read X-rays will make radiologists obsolete.
Major points from
A Reality Check On Artificial Intelligence: Are Health Care Claims Overblown?
As happens when the tech industry gets involved, hype surrounds the claims that artificial intelligence will help patients and even replace some doctors.
By Liz Szabo DECEMBER 30, 2019
https://medicalfuturist.com/search?term=Influenza my score 0/10
https://medicalfuturist.com/search?term=Influenza my score 1/10
"Of all the industries in which technology plays an important role, healthcare is one of the most crucial. In healthcare, technology can help solve staffing issues, improve efficiencies, enhance the relationship between medical professionals and patients and, ultimately, provide cheaper, faster and more effective healthcare solutions like pharmaceutical drugs and patient treatment plans."
With an increasing number of physicians and healthcare providers reaching retirement age, AI is going to become a major solution in the ongoing healthcare staffing shortage:
“Machine intelligence presents us with an opportunity to significantly improve the delivery of health care, particularly in high-disease or low-resource settings.”
Sameer Antani, PhD
PhD National Library of Medicine
PhD National Library of Medicine
Except for running clinical trials none of the cutting edge technology is ever used in low resource settings this has been my experience
Hariharan Ramamurthy MD
Healthcare Jyotishi/Savant
Willis H. Ware, Chairman Secretary's Advisory Committee on Automated Personal Data Systems
"A young Johns Hopkins University fellow recently asked that question while chatting with Elliot Fishman, MD, about artificial intelligence (AI). The two men were on the opposite ends of the career spectrum: Fishman has been a professor of radiology and oncology at Johns Hopkins Medicine since 1980; the fellow was preparing for his first job as a radiologist.
“I said, ‘Well, I think it’s going to change what we do, but the good news is, at least you’re not a pathologist,’” Fishman recalls. “And he goes, ‘My wife is just graduating and she’s a pathologist.’ So I said, ‘Put away as much money as you can really fast.’”
Fishman laughs when he tells the story, but he understands the concern. Over the past few years, many AI proponents and medical professionals have branded radiology and pathology as dinosaur professions, doomed for extinction. In 2016, a New England Journal of Medicine article predicted that “machine learning will displace much of the work of radiologists and anatomical pathologists,” adding that “it will soon exceed human accuracy.” That same year, Geoffrey Hinton, PhD, a professor emeritus at the University of Toronto who also designs machine learning algorithms for Google (and who received the Association for Computing Machinery’s A.M. Turing Award, often called the Nobel Prize of computing, in 2019), declared, “We should stop training radiologists now."
On a note of caution read
What if AI in health care is the next asbestos?
No comments:
Post a Comment