Search

Chilaiditi sign is a rare radiological finding in which the colon is interposed between the liver and the abdominal wall. Once patients become symptomatic, the condition is called Chilaiditi syndrome. We discuss a unique patient who presented with intermittent abdominal pain for 2 years that worsened 6 months before presentation. Her radiological evaluation revealed Chilaiditi sign. She was treated conservatively and the sign resolved. We emphasize the importance of conservative management in Chilaiditi syndrome. [ABSTRACT FROM AUTHOR]

The number one cause of cancer in women worldwide is breast cancer. Over the last three decades, the use of traditional screen-film mammography has increased, but in recent years, digital mammography and 3D tomosynthesis have become standard procedures for breast cancer screening. With the advancement of technology, the interpretation of images using automated algorithms has become a subject of interest. Initially, computer-aided detection (CAD) was introduced; however, it did not show any long-term benefit in clinical practice. With recent advances in artificial intelligence (AI) methods, these technologies are showing promising potential for more accurate and efficient automated breast cancer detection and treatment. While AI promises widespread integration in breast cancer detection and treatment, challenges such as data quality, regulatory, ethical implications, and algorithm validation are crucial. Addressing these is essential for fully realizing AI's potential in enhancing early diagnosis and improving patient outcomes in breast cancer management. In this review article, we aim to provide an overview of the latest developments and applications of AI in breast cancer screening and treatment. While the existing literature primarily consists of retrospective studies, ongoing and future prospective research is poised to offer deeper insights. Artificial intelligence is on the verge of widespread integration into breast cancer detection and treatment, holding the potential to enhance early diagnosis and improve patient outcomes., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2024, Rentiya et al.)