Artificial Intelligence in Breast Cancer Diagnosis and Treatment: Advances in Imaging, Pathology, and Personalized Care

Uchikov, Petar; Khalid, Usman; Harris Dedaj-Salad, Granit; Ghale, Dibya; Rajadurai, Harney; Kraeva, Maria; Kraev, Krasimir; Hristov, Bozhidar; Doykov, Mladen; Mitova, Vanya; Bozhkova, Maria; Markov, Stoyan; Stanchev, Pavel

doi:10.3390/life14111451

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Artificial Intelligence in Breast Cancer Diagnosis and Treatment: Advances in Imaging, Pathology, and Personalized Care

Shared by NobleBlocks on Nov 8, 2024 • 12:00 AM UTC

Authors:

Petar Uchikov

Usman Khalid

Granit Harris Dedaj-Salad

Abstract

Breast cancer is the most prevalent cancer worldwide, affecting both low- and middle-income countries, with a growing number of cases. In 2024, about 310,720 women in the U.S. are projected to receive an invasive breast cancer diagnosis, alongside 56,500 cases of ductal carcinoma in situ (DCIS). Bre...

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