Table 1 Systematic reviews of artificial intelligence-based diagnostic accuracy studies in axial imaging.

From: Quality assessment standards in artificial intelligence diagnostic accuracy systematic reviews: a meta-research study

Author

Specialty

Included studies

Input variables

Diagnosis

Nayantara 202046

Hepatology

25

CT

Liver lesions

Cho 202011

Oncology

12

MRI

Cerebral metastases

Crombé 202047

Oncology

52

CT, CT-PET, MRI, US

Sarcoma

Kunze 202048

Musculoskeletal

11

MRI

ACL and/or meniscal tears

Groot 202013

Musculoskeletal

14

MRI, X-Rays, US

X-Ray: Fracture detection and/or classification MRI: meniscal/ligament tears, tuberculous vs pyogenic spondylitis US: lateral epicondylitis

Steardo Jr 202034

Psychiatry

22

fMRI

Schizophrenia

Ninatti 202049

Oncology

24

CT, PET-CT

Molecular therapy targets

Ursprung 202010

Oncology

57

CT, MRI

Renal cell carcinoma

Halder 202050

Respiratory Medicine

45

CT

Lung nodules

Li 201951

Respiratory Medicine

26

CT

Lung nodule detection and/or classification

Azer 201952

Hepatology / Oncology

11

CT, MRI, US, Pathology slides

Hepatocellular carcinoma, liver masses

Jo 201937

Neurology

16

MRI, PET, CSF

Alzheimer’s disease

Moon 201935

Psychiatry

43

sMRI, fMRI

Autism spectrum disorder

Sarmento 202053

Neurology

8

CT or MRI

Stroke

Filippis 201954

Psychiatry

35

sMRI, fMRI

Schizophrenia

Langerhuizen 201914

Musculoskeletal

10

CT, X-Rays

Fracture detection and/or classification

Pellegrini 201812

Neurology

111

MRI, CT

Mild cognitive impairment, dementia

Pehrson 201955

Respiratory Medicine

19

CT

Lung nodule

Bruin 201936

Psychiatry

12

sMRI, fMRI

Obsessive-compulsive disorder

McCarthy 201856

Neurology

28

MRI

Frontotemporal dementia

Nguyen 201857

Neurology / Oncology

8

MRI

Differentiate glioblastoma and primary CNS lymphoma

Senders 201858

Neurosurgery

14

CT, MRI, history, age, gender

Intracranial masses, tumours

Smith 201759

Musculoskeletal

18

sMRI, fMRI

Musculoskeletal pain