pros and cons of AI Flashcards

1
Q

Precision medicine can help with:

A

cancer, cardiovascular disease, neurological disorder, psychiatry treatments

acronym CCNP

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2
Q

A study found that black patients indicated ____ levels of pain that could not be described by their x-rays

A

Higher

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3
Q

Why does 97% of healthcare data go unused?

A

Because it is unstructured

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4
Q

What system was designed to categorize clinical AI research published on the Medline database? (showed 25.3% of medical papers were in oncology)

A

NLP system

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5
Q

Which 2 fields rely heavily on imaging for diagnosis?

A

Oncology and neurology

acronym ON

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6
Q

What was the original problem of the Sepsis Watch, when used in Duke University’s Hospital?

A

Alarm fatigue - doctors ignored alerts sent by nurses

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7
Q

What app improved the Thrombolysis service in the Royal Berkshire NHS Foundation Trust? What did the app do?

A

Brainomix: uses ML to view brain CT scans anywhere on the app

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8
Q

Which healthcare professions are most likely to lose their jobs with the rise of AI in healthcare & why?

A

Radiologists and pathologists because of the digitisation & high volume of data available

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9
Q

Why is it difficult to identify bias in AI?

A

Because it is a ‘black box’ (the internal workings as it generates output from input is unknown)

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10
Q

What type of bias occurs when data is not representative of the entire population or is biased in some way?

A

Data bias

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11
Q

What type of bias occurs when the algorithm itself is biased, resulting in unfair outcomes?

A

Algorithmic bias

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12
Q

How does user bias occur?

A

It occurs when users introduce their personal biases into a system and thus receive biased results or implement results in biased ways

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13
Q

Procedural fairness can combat what type of bias?

A

Algorithmic bias (when a system has procedural fairness, the processes used to make decisions are considered fair)

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14
Q

What type of fairness is concerned with the outcomes of decisions?

A

Distributive fairness

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15
Q

If a system is representationally fair, what type of bias is it unlikely to exhibit?

A

Data bias

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16
Q

What are examples of legislation that restrict the collection, use, and sharing of personal information in an attempt to protect patients? (thus slowing the innovation of AI in healthcare)

A

The General Computational Regulations of Europe and the Health Research Regulations

GCRE, HRR

17
Q

Organizations are advised to keep their data in systems compliant with which 2 regulations?

A

HIPAA (health insurance portability and accountability act) and GDPR (General Data Protection Regulation)

18
Q

What are CISOs?

A

Chief Information Security Officers

19
Q

Why are health records uniquely targeted by hackers and bad actors?

A

Because they are very important and vulnerable

20
Q

What were the most acceptable AI services for people in healthcare + percents?

A

Robots filling prescriptions (40%), robot-assisted surgery (37%), diagnosing illnesses (26%)