Value assessment of artificial intelligence in medical imaging: a scoping review

[1] Hashimoto DA(2018)Artificial intelligence in surgery: promises and perils Ann Surg 268 70-76

[2] Rosman G(2020)Artificial intelligence, diagnostic imaging and neglected tropical diseases: ethical implications World Health Organ Bull World Health Organ 98 288-289

[3] Rus D(2017)Machine learning for medical imaging Radiographics 37 505-515

[4] Meireles OR(2019)A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis Lancet Digit Health 1 e271-e297

[5] Vaisman A(2020)Checklist for Artificial Intelligence in Medical Imaging (CLAIM): a guide for authors and reviewers Radiol Artif Intell 2 66-809

[6] Linder N(2020)Current challenges and recent updates in artificial intelligence and echocardiography Curr Cardiovasc Imaging Rep 13 800-51

[7] Lundin J(2018)Methodologic guide for evaluating clinical performance and effect of artificial intelligence technology for medical diagnosis and prediction Radiology 286 66-41

[8] Orchanian-Cheff A(2020)The role of technology in melanoma screening and diagnosis Pigm Cell Melanoma Res 6 107-32

[9] Coulibaly JT(2020)Artificial intelligence and health technology assessment: anticipating a new level of complexity J Med Internet Res 22 44-473

[10] Ephraim RKD(2020)Developing a delivery science for artificial intelligence in healthcare NPJ Digit Med 3 326-1492

[1] Hashimoto DA(2018)Artificial intelligence in surgery: promises and perils Ann Surg 268 70-76

[2] Rosman G(2020)Artificial intelligence, diagnostic imaging and neglected tropical diseases: ethical implications World Health Organ Bull World Health Organ 98 288-289

[3] Rus D(2017)Machine learning for medical imaging Radiographics 37 505-515

[4] Meireles OR(2019)A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis Lancet Digit Health 1 e271-e297

[5] Vaisman A(2020)Checklist for Artificial Intelligence in Medical Imaging (CLAIM): a guide for authors and reviewers Radiol Artif Intell 2 66-809

[6] Linder N(2020)Current challenges and recent updates in artificial intelligence and echocardiography Curr Cardiovasc Imaging Rep 13 800-51

[7] Lundin J(2018)Methodologic guide for evaluating clinical performance and effect of artificial intelligence technology for medical diagnosis and prediction Radiology 286 66-41

[8] Orchanian-Cheff A(2020)The role of technology in melanoma screening and diagnosis Pigm Cell Melanoma Res 6 107-32

[9] Coulibaly JT(2020)Artificial intelligence and health technology assessment: anticipating a new level of complexity J Med Internet Res 22 44-473

[10] Ephraim RKD(2020)Developing a delivery science for artificial intelligence in healthcare NPJ Digit Med 3 326-1492