TY - JOUR
T1 - Digital pathology and artificial intelligence will be key to supporting clinical and academic cellular pathology through COVID-19 and future crises
T2 - The PathLAKE consortium perspective
AU - Browning, Lisa
AU - Colling, Richard
AU - Rakha, Emad
AU - Rajpoot, Nasir
AU - Rittscher, Jens
AU - James, Jacqueline A.
AU - Salto-Tellez, Manuel
AU - Snead, David R.J.
AU - Verrill, Clare
N1 - Publisher Copyright:
© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ.
PY - 2021/7/1
Y1 - 2021/7/1
N2 - The measures to control the COVID-19 outbreak will likely remain a feature of our working lives until a suitable vaccine or treatment is found. The pandemic has had a substantial impact on clinical services, including cancer pathways. Pathologists are working remotely in many circumstances to protect themselves, colleagues, family members and the delivery of clinical services. The effects of COVID-19 on research and clinical trials have also been significant with changes to protocols, suspensions of studies and redeployment of resources to COVID-19. In this article, we explore the specific impact of COVID-19 on clinical and academic pathology and explore how digital pathology and artificial intelligence can play a key role to safeguarding clinical services and pathology-based research in the current climate and in the future.
AB - The measures to control the COVID-19 outbreak will likely remain a feature of our working lives until a suitable vaccine or treatment is found. The pandemic has had a substantial impact on clinical services, including cancer pathways. Pathologists are working remotely in many circumstances to protect themselves, colleagues, family members and the delivery of clinical services. The effects of COVID-19 on research and clinical trials have also been significant with changes to protocols, suspensions of studies and redeployment of resources to COVID-19. In this article, we explore the specific impact of COVID-19 on clinical and academic pathology and explore how digital pathology and artificial intelligence can play a key role to safeguarding clinical services and pathology-based research in the current climate and in the future.
KW - computer systems
KW - image processing, computer-assisted
KW - pathology, surgical
UR - https://www.scopus.com/pages/publications/85088508751
U2 - 10.1136/jclinpath-2020-206854
DO - 10.1136/jclinpath-2020-206854
M3 - Review article
C2 - 32620678
AN - SCOPUS:85088508751
SN - 0021-9746
VL - 74
SP - 443
EP - 447
JO - Journal of Clinical Pathology
JF - Journal of Clinical Pathology
IS - 7
ER -
