In the diagnostic workflow for patients with breast cancer, the role of AI encompasses screening, diagnosis, staging, biomarker evaluation, prognostication, and therapeutic response prediction. Although its potential is immense, its complete integration into clinical practice is challenging.

Oct 3, 2024 · This cohort study examines whether a commercial artificial intelligence algorithm for breast cancer detection could estimate the development of cancer

Concurrently, the incorporation of artificial intelligence (AI) into the diagnosis of breast cancer is an emerging procedure that results in a better diagnosis of the disease. AI’s success rate has been attributed to its ability to reproduce, using high …

3 days ago · Breast cancer remains the most prevalent cancer among women globally, imposing significant economic and human burdens. Early detection is pivotal for improving patient outcomes and reducing treatment costs. This review explores the transformative role of artificial intelligence (AI) in the early detection of breast cancer, highlighting its integration into various aspects of health care. AI ...

Dec 6, 2022 · Artificial intelligence (AI) has been proposed to reduce false-positive screens, increase cancer detection rates (CDRs), and address resourcing challenges faced by breast screening programs.

Aug 1, 2024 · Breast cancer's global impact and high mortality rates drive interest in Artificial intelligence (AI) applications. AI's pattern recognition and decision-making abilities offer promise in detection, diagnosis, personalized treatment, risk assessment, and prevention.

In the diagnostic workflow for patients with breast cancer, the role of AI encompasses screening, diagnosis, staging, biomarker evaluation, prognostication, and therapeutic response prediction. Although its potential is immense, its complete integration into clinical practice is challenging.

Jun 1, 2024 · This review provides an overview of the current state of artificial intelligence (AI) technology for automated detection of breast cancer in digital mammography (DM) and digital breast tomosynthesis (DBT).

Nov 8, 2024 · Our paper aims to explore the vast applications of artificial intelligence within the diagnosis and treatment of breast cancer and how these advancements can contribute to elevating patient care as well as discussing the potential drawbacks of such integrations into modern medicine.

AI technology has the potential to improve breast cancer screening by increasing accuracy and reducing radiologist workload. DL-based AI systems show promise in enhancing detection performance and eliminating variability among observers.