Abstract ChatGPT-4, BARD, and YOU. com are AI large language models (LLM) developed
by OpenAI based on the GPT-3-4 architecture and Google. They were trained using …

The correct interpretation of breast density is important in the assessment of breast cancer
risk. AI has been shown capable of accurately predicting breast density, however, due to the …

Objectives The artificial intelligence competition in healthcare at TEKNOFEST-2022
provided a platform to address the complex multi-class classification challenge of abdominal …

Transformer-based detectors have shown success in computer vision tasks with natural
images. These models, exemplified by the Deformable DETR, are optimized through …

The class imbalance problem in deep learning has been explored in several studies, but
there has yet to be a systematic analysis of this phenomenon in object detection. Here, we …

Digital Breast Tomosynthesis (DBT) is a widely used medical imaging modality for breast
cancer screening and diagnosis, offering higher spatial resolution and greater detail through …

Purpose To develop an artificial intelligence algorithm for the detection of breast cancer by
combining upstream data fusion (UDF), machine learning (ML), and automated registration …

In this study, we adapted a transformer-based method to localize lesions in digital breast
tomosynthesis (DBT) images. Compared with convolutional neural network-based object …

Introduction. Menopause is one of the most important events in a woman's life cycle,
representing the transition from the reproductive to the non-productive stage with the …

Commentary on Konz N, Buda M, Gu H, et al. A competition, benchmark, code, and data for
using artificial intelligence to detect lesions in digital breast tomosynthesis. JAMA Netw …