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animals on a farm > types of AI > Flashcards

types of AI Flashcards

1
Q

Deep learning

A

Uses artificial neural networks to analyze large datasets

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2
Q

Neural network

A

Uses interconnected notes to analyze data and identify patterns

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3
Q

Which type of AI gives more complex and accurate predictions?

A

Deep learning

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4
Q

Which type of AI mimics human decision-making processes?

A

Rule-based and RPA systems

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5
Q

What have rule-based systems been able to do?

A

Analyze electrocardiogram data to diagnose heart disease

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6
Q

What are the two main advantages of rule-based systems?

A

Transparency/trust, ease

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7
Q

What are the two main limitations of rule-based systems?

A

Need accurate rules, cannot address ambiguity

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8
Q

RPA

A

Robotic process automation; automates repetitive tasks by mimicking humans

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9
Q
A
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10
Q

What does RPA focus on?

A

Administrative tasks

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11
Q

Which type of AI works with existing interfaces of IT infrastructure and can work without interruptions?

A

RPA

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12
Q

RPA is bad for tasks with ___ and ___

A

Complex decision making; unstructured data

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13
Q

Machine learning

A

Ability for computer to learn after given instructions

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14
Q

What is the main function of machine learning?

A

Make predictions

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15
Q

What type of AI are computer-aided diagnosis systems used to interpret medical images?

A

Machine learning

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16
Q

Supervised learning

A

Uses a labeled dataset where the correct answer is given

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17
Q

Unsupervised learning

A

Does not use a labeled data set but identifies patterns from the dataset

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18
Q

NLP

A

Natural language processing; analyzes human language

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19
Q

2 examples of NLP?

A

Analyze EHRs and patient notes, reduces fraud in billing

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20
Q

What type of AI is used in surgical procedures, rehab, and patient monitoring?

A

Robotics

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21
Q

Which type of AI works with surgeons to provide real-time feedback and improve precision?

A

Robotics

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22
Q

Expert systems replicate ___ abilities of human experts

A

Decision-making

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23
Q

CDSS

A

Clinical decision support system

24
Q

Example of expert system use?

A

Makes real-time recommendations for treatments and alerts with patient data

25
Q

Computer vision

A

Processes visuals

26
Q

Federated learning

A

Machine is trained through multiple datasets

27
Q

What type of AI encompasses: synthesizing medical images, generating new chemical structures, running simulations to test treatment strategies on AI

A

Generative AI

28
Q

STSD system

A

Socio-technical systems design; considers human, social, and organizational factors

29
Q

Support vector machines

A

Machine learning used for classification/regression analysis

30
Q

How do SVMs classify tasks?

A

Identifies hyperplanes in high-dimensional space

31
Q

CNNs

A

Convolutional neural networks; type of deep learning that identifies patterns

32
Q

Are CNNs good for image analysis?

A

Yes

33
Q

RNNs

A

Recurrent neural networks; type of deep learning that uses sequential data analysis

34
Q

What type of AI are image reconstruction, ECG analysis

A

RNN

35
Q

Decision trees

A

Type of machine learning that classifies tasks

36
Q

3 types of CDSS?

A

Knowledge-based, ML-based, NLP-based

acronym KMN

37
Q

How do knowledge-based systems work?

A

Uses a set of rules to analyze data

38
Q

Use of ML-based systems?

A

Make predictions based on patterns

39
Q

Use of NLP-based systems

A

Read medical records and patient notes to make decisions

acronym MP

40
Q

The Turing Report stated that of the 647 AI tools used to support the COVID-19 pandemic, ___ were fit for clinical use, only ___ warranted further potential

A

0; 2

41
Q

3 general categories of applications of AI in healthcare

A

Non-clinical, increasing productivity, enhancing delivery of care

42
Q

How can AI be used in the back office?

A

Finance management, revenue cycle management, detecting inaccuracies in billing

acronym FRB

43
Q

How can AI enhance the delivery of care?

A

Helps patients optimise treatment options and medical dosages

44
Q

McKinsey Global Institute suggested that only ___% of the time in healthcare is fit for automation

A

35

45
Q

3 fields in order with the most amount of time that can be automated

A

Medical equipment preparers, medical assistants, OSHA technicians

acronym EAO

46
Q

3 fields in order with the LEAST amount of time that can be automated

A

Chiropractors, orthotist, dental hygienist

acronym COD

47
Q

How can AI help in medical imaging?

A

Identifying subtle patterns in x-rays, CT scans, MRIs and create personalized treatments

48
Q

6 steps for drug discovery with AI

A

Target identification
lead discovery
lead optimization
preclinical testing
clinical testing
regulatory approval

49
Q

1 pro of AI drug discovery?

A

Cheaper because of fewer failed clinical trials

50
Q

2 cons of AI drug discovery?

A

Hard to find rare diseases to obtain data; large pharmaceutical companies already have established workflows

51
Q

How can NLP and RPA help in administrative tasks?

A

Reduce errors and improve accuracy in data collection and analysis

52
Q

AI can identify errors and issues that lead to claim denials and thus ____

A

Improve claims management

53
Q

NLP can help in administrative tasks by doing what?

A

Streamlining patient registration

54
Q

How can predictive analytics help in healthcare?

A

Identify patients who are at risk of not paying their bills

55
Q

What is PACS?

A

Picture archiving and communication systems in radiology

56
Q

What is the most common example of a complementary technology?

A

RPA

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