[HTML][HTML] Artificial intelligence in breast cancer diagnosis and treatment: advances in imaging, pathology, and personalized care

P Uchikov, U Khalid, GH Dedaj-Salad, D Ghale… - Life, 2024 - mdpi.com
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 US are …

[HTML][HTML] Future of Team-based Basic and Translational Science in Radiation Oncology

RP Coppes, LV van Dijk - Seminars in radiation oncology, 2024 - Elsevier
To further optimize radiotherapy, a more personalized treatment towards individual patient's
risk profiles, dissecting both patient-specific tumor and normal tissue response to …

Consistent and effective method to define the mouse estrous cycle stage by a deep learning-based model

L Strauss, A Junnila, A Wärri, M Manti… - Journal of …, 2024 - joe.bioscientifica.com
The mouse estrous cycle is divided into four stages: proestrus (P), estrus (E), metestrus (M),
and diestrus (D). The estrous cycle affects reproductive hormone levels in a wide variety of …

Precision Oncology in Breast Cancer Surgery

AB Abbasi, V Wu, JE Lang… - Surgical Oncology …, 2024 - surgonc.theclinics.com
Despite significant advances in treatment, breast cancer remains the second leading cause
of cancer death in women, with more than 40,000 deaths annually in the United States. 1 …

Deep Learning and Radiomics in Triple-Negative Breast Cancer: Predicting Long-Term Prognosis and Clinical Outcomes

C Cheng, Y Wang, J Zhao, D Wu, H Li… - Journal of …, 2025 - Taylor & Francis
Triple-negative breast cancer (TNBC) is a unique breast cancer subtype characterized by
the lack of estrogen receptor (ER), progesterone receptor (PR), and human epidermal …

Revolutionizing Breast Cancer Care: AI-Enhanced Diagnosis and Patient History

M Fathima, M Moulana - Computer Methods in Biomechanics and …, 2023 - Taylor & Francis
Breast cancer poses a significant global health challenge, demanding enhanced diagnostic
accuracy and streamlined medical history documentation. This study presents a holistic …

Artificial intelligence-a primer for diagnosis and interpretation of breast cancer

AM Jha, APK Mahapatra, J Abraham… - International Journal of …, 2024 - ijtos.com
Breast Cancer (BC) is a major universal health problem. Early detection and precise
diagnosis are vital for enlightening outcomes. Artificial Intelligence (AI) technologies can …

The Smart Performance Comparison of AI-based Breast Cancer Detection Models

S Samreen, AS Mohammed… - 2024 International …, 2024 - ieeexplore.ieee.org
The smart performance comparison of AI-based breast cancer detection models is an
important research topic in the healthcare industry. It is used to compare and evaluate …

Radiologic imaging biomarkers in triple-negative breast cancer: a literature review about the role of artificial intelligence and the way forward

K Bhalla, Q **ao, JM Luna, E Podany… - BJR| Artificial …, 2024 - academic.oup.com
Breast cancer is one of the most common and deadly cancers in women. Triple-negative
breast cancer (TNBC) accounts for approximately 10%-15% of breast cancer diagnoses and …

Application of AI in detection of breast cancer with laboratory results monitoring

S Prevljak, A Kustura, B Hasanefendic… - Bioengineering …, 2024 - journals.ardascience.com
Breast cancer is one of the most common types of cancer among women worldwide,
therefore an early and precise process of diagnostics plays an important role in improving …