Artificial intelligence: the key to significant reduction in baseline LDCT lung cancer screening associated workload when used as a first-read filter

Harriet Louise Lancaster; Beibei Jiang; M. Silva; Jan Willem C Gratama; Daiwei Han; John K. Field; G H de Bock; Marjolein Heuvelmans; Matthijs Oudkerk

doi:10.1186/s13244-024-01766-w

Artificial intelligence: the key to significant reduction in baseline LDCT lung cancer screening associated workload when used as a first-read filter

Harriet Louise Lancaster, Beibei Jiang, M. Silva, Jan Willem C Gratama, Daiwei Han, John K. Field, G H de Bock, Marjolein Heuvelmans, Matthijs Oudkerk

Research output: Contribution to conference › Abstract › Academic

Original language	English
DOIs	https://doi.org/10.1186/s13244-024-01766-w
Publication status	Published - Dec-2024
Event	ECR 2024 - European Society of Radiology annual conference - Austria, Vienna, Austria Duration: 1-Mar-2024 → 1-Mar-2024

Conference

Conference	ECR 2024 - European Society of Radiology annual conference
Abbreviated title	ECR 2024
Country/Territory	Austria
City	Vienna
Period	01/03/2024 → 01/03/2024

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10.1186/s13244-024-01766-w

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Lancaster, H. L., Jiang, B., Silva, M., Gratama, J. W. C., Han, D., Field, J. K., de Bock, G. H., Heuvelmans, M., & Oudkerk, M. (2024). Artificial intelligence: the key to significant reduction in baseline LDCT lung cancer screening associated workload when used as a first-read filter. Abstract from ECR 2024 - European Society of Radiology annual conference, Vienna, Austria. https://doi.org/10.1186/s13244-024-01766-w

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title = "Artificial intelligence: the key to significant reduction in baseline LDCT lung cancer screening associated workload when used as a first-read filter",

author = "Lancaster, {Harriet Louise} and Beibei Jiang and M. Silva and Gratama, {Jan Willem C} and Daiwei Han and Field, {John K.} and {de Bock}, {G H} and Marjolein Heuvelmans and Matthijs Oudkerk",

year = "2024",

month = dec,

doi = "10.1186/s13244-024-01766-w",

language = "English",

note = "ECR 2024 - European Society of Radiology annual conference, ECR 2024 ; Conference date: 01-03-2024 Through 01-03-2024",

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Lancaster, HL , Jiang, B, Silva, M, Gratama, JWC, Han, D, Field, JK, de Bock, GH , Heuvelmans, M & Oudkerk, M 2024, 'Artificial intelligence: the key to significant reduction in baseline LDCT lung cancer screening associated workload when used as a first-read filter', ECR 2024 - European Society of Radiology annual conference, Vienna, Austria, 01/03/2024 - 01/03/2024. https://doi.org/10.1186/s13244-024-01766-w

Artificial intelligence: the key to significant reduction in baseline LDCT lung cancer screening associated workload when used as a first-read filter. / Lancaster, Harriet Louise ; Jiang, Beibei; Silva, M. et al.
2024. Abstract from ECR 2024 - European Society of Radiology annual conference, Vienna, Austria.

Research output: Contribution to conference › Abstract › Academic

TY - CONF

T1 - Artificial intelligence: the key to significant reduction in baseline LDCT lung cancer screening associated workload when used as a first-read filter

AU - Lancaster, Harriet Louise

AU - Jiang, Beibei

AU - Silva, M.

AU - Gratama, Jan Willem C

AU - Han, Daiwei

AU - Field, John K.

AU - de Bock, G H

AU - Heuvelmans, Marjolein

AU - Oudkerk, Matthijs

PY - 2024/12

Y1 - 2024/12

U2 - 10.1186/s13244-024-01766-w

DO - 10.1186/s13244-024-01766-w

M3 - Abstract

T2 - ECR 2024 - European Society of Radiology annual conference

Y2 - 1 March 2024 through 1 March 2024

ER -