Table 1 Descriptive characteristics of included articles (N = 52)

From: Human-AI teaming in healthcare: 1 + 1 > 2?

 

n

%

 

n

%

Site (patient data source)

AI type

 China

25

48.1%

Deep learning

48

92.3%

 Korea

7

13.5%

Machine learning

4

7.7%

 USA

5

9.6%

AI explainability

  

 Japan

3

5.8%

AI

49

94.2%

 Open-source dataset

3

5.8%

XAI

2

3.8%

 Other

9

17.3%

Both

1

1.9%

Study cohort (kappa = 0.52)

Task (kappa = 0.53)

 Retrospective

42

80.8%

Image

43

82.7%

 Prospective

9

17.3%

Video

3

5.8%

 Unclear

1

1.9%

Text

2

3.8%

Clinician number in HMT

Mixed

4

7.7%

 ≤ 10

30

57.7%

Teaming mode (kappa = 0.73)

 11–20

15

28.8%

Simultaneous

31

59.6%

 21–30

1

1.9%

Sequential

17

32.7%

 31–60

4

7.7%

Both

2

3.8%

 > 100

2

3.8%

Unclear

2

3.8%

Clinician expertise (kappa = 0.81)

Number of patients/tasks

 Senior

3

5.8%

≤100

9

17.3%

 Junior

7

13.5%

101–200

12

23.1%

 Unclear

15

28.8%

201–300

11

21.2%

 Mixed

27

51.9%

301–400

7

13.5%

   

401–500

3

5.8%

   

501–1000

5

9.6%

 

>1000

5

9.6%