Computational Cytology: Lessons Learned from Pap Test Computer-Assisted Screening.

Journal: Acta cytologica

PMID: 32694246

Abstract

BACKGROUND: In the face of rapid technological advances in computational cytology including artificial intelligence (AI), optimization of its application to clinical practice would benefit from reflection on the lessons learned from the decades-long journey in the development of computer-assisted Pap test screening.

Authors

Madelyn Lew

Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA, lewm@med.umich.edu.
David C Wilbur

Department of Pathology, Harvard Medical School, Boston, Massachusetts, USA.
Liron Pantanowitz

Department of Pathology, University of Michigan, Ann Arbor, MI, USA.

Keywords

Artificial Intelligence Automation, Laboratory Diagnosis, Computer-Assisted Diffusion of Innovation Early Detection of Cancer Female Humans Image Interpretation, Computer-Assisted Papanicolaou Test Predictive Value of Tests Reproducibility of Results Uterine Cervical Neoplasms Vaginal Smears Workflow Workload

External Resources

View on PubMed Access via DOI PubMed (32694246)

Computational Cytology: Lessons Learned from Pap Test Computer-Assisted Screening.

Abstract

Authors

Keywords

External Resources

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