ABSTRACT
Boerhaave syndrome is an esophagal perforation due to a rupture of the esophagus wall caused by intense vomiting with mediastinitis and subcutaneous emphysema. It is a relatively rare and potentially life-threatening ailment that requires prompt diagnosis and treatment. This case presents an overview of the syndrome, including morbidity, mortality, and treatment strategy. In this case, a 56-year-old male presented to the hospital during emergency hours with shortness of breath, chest pain, and dullness in the neck and a history of binge alcohol abuse seven days ago, followed by a severe bout of vomiting. The patient was managed conservatively, requiring another hospitalization for surgery, and was later discharged from the hospital postoperatively without any complications.
ABSTRACT
In today's world, progressively enormous popularity prevails around artificial intelligence (AI). AI is gaining popularity in the identification of various images. Therefore, it has been widely used in the ultrasound of the breast. Furthermore, AI can perform a quantitative evaluation, which further helps maintain the diagnosis's accuracy. Moreover, breast cancer is the most common cancer in women, posing a severe threat to women's health. Hence, its early detection is usually associated with a patient's prognosis. As a result, using AI in breast cancer screening and detection is highly crucial. The concept of AI in the perspective of breast ultrasound has been highlighted in this brief review article. It tends to focus on early AI, i.e., traditional machine learning and deep learning algorithms. Also, the use of AI in ultrasound and the use of it in mammography, magnetic resonance imaging, nuclear medicine imaging, and classification of breast lesions is broadly explained, along with the challenges faced in bringing AI into daily practice.
