Artificial intelligence reading digital mammogram: enhancing detection and differentiation of suspicious microcalcifications.

Journal: The British journal of radiology

PMID: 39471486

Abstract

OBJECTIVES: To investigate the impact of artificial intelligence (AI) on enhancing the sensitivity of digital mammograms in the detection and specification of grouped microcalcifications.

Authors

Sahar Mansour

Women's Imaging Unit - Kasr El Ainy Hospital- Cairo University, Giza, Egypt.
Omnia Mokhtar

Cairo University, National Institute of Cancer, Radiology Department, Cairo, 11796, Egypt.
Mennat-Allah Samir Mohammed Abd El Galil

Baheya Hospital for Early Breast Cancer and Treatment, Cairo, Egypt.
Sherif Nasser Taha

Baheya Hospital for Early Breast Cancer and Treatment, Cairo, Egypt.
Ola Magdy Mohamed Shetat

Baheya Hospital for Early Breast Cancer and Treatment, Cairo, Egypt.

Keywords

Adult Aged Aged, 80 and over Artificial Intelligence Breast Neoplasms Calcinosis Diagnosis, Differential Female Humans Mammography Middle Aged Radiographic Image Interpretation, Computer-Assisted Retrospective Studies Sensitivity and Specificity

External Resources

View on PubMed Access via DOI PubMed (39471486)

Artificial intelligence reading digital mammogram: enhancing detection and differentiation of suspicious microcalcifications.

Abstract

Authors

Keywords

External Resources

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