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Table 2 Studies included in systematic review

From: Accuracy of artificial intelligence in caries detection: a systematic review and meta-analysis

No

Study reference

Journal

Population

Year of publication

1

Chen et al., [17]

Bioengineering

Taiwan

2023

2

Zhu et al., [18]

Neural Computing and Applications

China

2022

3

Bayraktar et al. [19],

Clinical Oral Investigations

Turkey

2022

4

Huang et al., [20]

Medrxiv

Taipei

2021

5

Mao et al., [21]

Sensors

Taiwan

2021

6

De Araujo Faria et al. [22],

Journal of Digital Imaging

Brazil -France

2021

7

Hur et al., [23]

Scientific Reports

South Korea

2021

8

Lee et al. [24],

Scientific Reports

South Korea

2021

9

Vinayahalingam et al. [25]

Scientific Reports

Netherlands

2021

10

Mertens S et al. [26]

Journal of Dentistry

Germany

2021

11

Moran et al. [27]

Sensors

Brazil

2021

12

Lian et al. [28]

Diagnostics

China

2021

13

Zheng et al. [29]

Annals of Translational Medicine

China

2021

14

Bayrakdar et al. [30]

Oral Radiology

Turkey

2021

15

Devlin et al. [31]

British Dental Journal

UK

2021

16

Chen et al., [32]

International Journal of Computer Assisted Radiology and Surgery

China

2021

17

Geetha et al. [33],

Health Information Science

and Systems

India

2020

18

Cantu et al., [34]

Journal of Dentistry

Germany

2020

19

Choi et al. [35],

Journal of Signal Processing System

South Korea

2018

20

Lee et al., [36]

Journal of Dentistry

South Korea

2018

21

Srivastava et al., [37]

Arxiv: Computer Vision and Pattern Recognition

USA

2017