HOSA Biomedical Debate

The first developments in ai for healthcare can be traced back to

the 1950s

researchers began to explore the potential of neural networks for healthcare applications in

1980's and 90's

Neural networks are

types of machine learning that uses interconnected nodes to analyze data and identify patterns

quick medical reference(QMR)

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An early example of neural networks: quick medical reference(QMR)

the availability of large datasets and advances in computing power led to significant developments in ai for healthcare in the

2000's

Introduction of deep learning is

a type of machine learning that uses artificial neural networks to analyze large datasets; able to identify complex patterns in data and make predictions with a high degree of accuracy; used in a wide range of healthcare applications, including medical imaging, drug discovery, and personalized medicine

AI algorithms can

analyze large datasets of medical records and genetic data to identify the most effective treatments for individual patients, based on their own medical history, lifestyle, genetics, and other factors

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what percent of Americans would be uncomfortable with provider relying on AI in their own health care

60

how much of Americans expect AI in health and medicine to improve patient outcome

fewer than half

what percent of people would feel comfortable if their health care provider relied on AI for their medical care (1% that didn't answer)

39

what percent of people would feel uncomfortable if their healthcare provider relied on AI for their medical care

60

what percent of people believe AI would lead to better outcomes of patients?

38

what percent of Americans believe AI would lead to worse health outcomes for patients?

33

what percent of Americans believe AI would not make much of a difference for health outcomes for patients?

27

do Americans believe using AI technology would make things move too slow or too fast?

too fast

are men or women more comfortable with AI technology?

men

are white, black, or Hispanics more comfortable with AI technology?

hispanics

which age group is the most comfortable with AI tech? 18-29, 30-49, 50-64, or 65+

18-29

are students with post grads, college grads, some college, or just high school or less more comfortable with AI tech?

postgrads

is the upper, middle, or lower class more comfortable with AI tech?

upper

are people who've heard a lot, a little, or nothing about AI tech more comfortable with it?

a lot

are whites, blacks, or Hispanics more uncomfortable with AI tech?

whites

what age groups are the most uncomfortable with AI tech? 18-29, 30-49, 50-64, 65+

50+

what students are the most uncomfortable with AI tech? postgrads, college grads, some college, high school or less?

some college and high school or less

is the upper, lower, or middle class for uncomfortable with AI tech?

lower class

are people who've heard a lot, bad little, or nothing about AI tech more uncomfortable with it?

nothing

do women or men feel more neutral about how AI tech would improve patient or outcomes?

women

do men or women feel like AI tech would lead to better patient outcomes?

men

do whites, blacks, or Hispanics feel like AI tech would lead to better patient outcomes?

hispanics

do whites, blacks, or Hispanics feel like AI tech would lead to worse patient outcomes?

whites

what age group thinks AI would lead to better patient outcomes?

18-29

what age group believes AI would lead to worse patient outcomes?

50-64

what level of schooling believes AI would lead to better patient outcomes?

postgrads

what level of schooling believes AI would lead to worse patient outcomes?

some college and high school or less

what level of knowledge ABOUT AI tech believe it would lead to better patient outcomes?

a lot

what level of knowledge ABOUT AI tech think it would lead to worse patient outcomes?

nothing

what percent of people believe AI would reduce mistakes made?

40

__ percent of people believe AI would reduce racial and ethnic inequality

38

people believe AI would ______ the quality of healthcare for people like us

better

people believe AI would _____ the security of personal health records

worsen

what percent of black adults say bias based on race is a major problem today?

64

about ___ of people who see race/ethnicity inequality think AI would help address the issue

half

what percent of people would want AI for skin cancer screening?

65

what percent of people believe AI would make skin cancer diagnoses easier?

55

what amount of Americans say they wouldn't want AI to help determine amount of pain medicine they get?

two-thirds

what percent of Americans wouldn't want AI powered robots to be used in their own surgery?

59

what percent of adults wouldn't want an AI chatbot for their mental health?

79

people who are _____ a therapist or more willing to use AI chatbot

seeing

The American Trends Panel (ATP) was created by

Pew research center

respondents to the survey:

11,004

non respondents to the survey:

12,448

what was the response rate of the study?

88%

when was ATP created?

2014

what kind of people are die-hards for AI in healthcare?

evangelists

what problems are there with AI?

threats of privacy, ethical concerns, and medical errors

AI will challenge the ______ in healthcare

status quo