RESUMO
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.
RESUMO
Diverticular bleeding is the most common cause of lower gastrointestinal bleeding and accounts for 20.8%-41.6% of cases in the Western world. Management involves initial resuscitation followed by diagnostic assessment. Colonoscopy is the investigation of choice as it localizes the bleed and has the potential to effectively deliver therapeutic interventions. Other diagnostic modalities include flexible sigmoidoscopy, a tagged red blood cell scan, or angiography. In cases where the bleeding source cannot be identified, intraoperative enteroscopy has emerged as a valuable tool for investigating obscure gastroenterology bleeds in specific patients. In this case report, we describe the management of a 77-year-old male with recently diagnosed pan-colonic diverticulosis who presented with multiple episodes of rectal bleeding and syncope. Due to his declining hemodynamic status and failed endoscopy and embolization, he was taken to surgery for a colectomy. Intraoperative colonoscopy was utilized to facilitate accurate identification of the pathology, assessment of anastomotic patency, and detection of surgical complications. This case report attempts to portray how the incorporation of endo-videoscopy into surgical planning has the potential to enhance patient outcomes and represent a significant advancement in the field of minimally invasive surgery.