Artificial Intelligence Technologies for Assessing Skin Lesions for Referral on the Urgent Suspected Cancer Pathway to Detect Benign Lesions and Reduce Secondary Care Specialist Appointments: Early Value Assessment

Matthew James Walton; Alexis Llewellyn; Noortje Uphoff; Joseph Lord; Melissa Harden; Robert Hodgson; Mark Crawford Simmonds

Artificial Intelligence Technologies for Assessing Skin Lesions for Referral on the Urgent Suspected Cancer Pathway to Detect Benign Lesions and Reduce Secondary Care Specialist Appointments: Early Value Assessment

Matthew James Walton, Alexis Llewellyn, Noortje Uphoff, Joseph Lord, Melissa Harden, Robert Hodgson, Mark Crawford Simmonds

Centre for Reviews and Dissemination

Research output: Book/Report › Commissioned report

Original language	English
Publisher	National Institute for Health and Care Excellence
Commissioning body	National Institute for Health and Care Excellence
Publication status	Published - 28 Aug 2024

Access to Document

https://www.nice.org.uk/guidance/gid-hte10047/documents/committee-papersLicence: Unspecified

Cite this

Walton, M. J., Llewellyn, A., Uphoff, N., Lord, J., Harden, M., Hodgson, R., & Simmonds, M. C. (2024). Artificial Intelligence Technologies for Assessing Skin Lesions for Referral on the Urgent Suspected Cancer Pathway to Detect Benign Lesions and Reduce Secondary Care Specialist Appointments: Early Value Assessment. National Institute for Health and Care Excellence. https://www.nice.org.uk/guidance/gid-hte10047/documents/committee-papers

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title = "Artificial Intelligence Technologies for Assessing Skin Lesions for Referral on the Urgent Suspected Cancer Pathway to Detect Benign Lesions and Reduce Secondary Care Specialist Appointments: Early Value Assessment",

author = "Walton, {Matthew James} and Alexis Llewellyn and Noortje Uphoff and Joseph Lord and Melissa Harden and Robert Hodgson and Simmonds, {Mark Crawford}",

year = "2024",

month = aug,

day = "28",

language = "English",

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Walton, MJ , Llewellyn, A , Uphoff, N , Lord, J, Harden, M, Hodgson, R & Simmonds, MC 2024, Artificial Intelligence Technologies for Assessing Skin Lesions for Referral on the Urgent Suspected Cancer Pathway to Detect Benign Lesions and Reduce Secondary Care Specialist Appointments: Early Value Assessment. National Institute for Health and Care Excellence. <https://www.nice.org.uk/guidance/gid-hte10047/documents/committee-papers>

Artificial Intelligence Technologies for Assessing Skin Lesions for Referral on the Urgent Suspected Cancer Pathway to Detect Benign Lesions and Reduce Secondary Care Specialist Appointments: Early Value Assessment. / Walton, Matthew James ; Llewellyn, Alexis ; Uphoff, Noortje et al.
National Institute for Health and Care Excellence, 2024.

Research output: Book/Report › Commissioned report

TY - BOOK

T1 - Artificial Intelligence Technologies for Assessing Skin Lesions for Referral on the Urgent Suspected Cancer Pathway to Detect Benign Lesions and Reduce Secondary Care Specialist Appointments: Early Value Assessment

AU - Walton, Matthew James

AU - Llewellyn, Alexis

AU - Uphoff, Noortje

AU - Lord, Joseph

AU - Harden, Melissa

AU - Hodgson, Robert

AU - Simmonds, Mark Crawford

PY - 2024/8/28

Y1 - 2024/8/28

M3 - Commissioned report

BT - Artificial Intelligence Technologies for Assessing Skin Lesions for Referral on the Urgent Suspected Cancer Pathway to Detect Benign Lesions and Reduce Secondary Care Specialist Appointments: Early Value Assessment

PB - National Institute for Health and Care Excellence

ER -