Impact of artificial intelligence on the diagnosis, treatment and prognosis of endometrial cancer.

Endometrial cancer is one of the most prevalent tumours in females and holds an 83% survival rate within 5 years of diagnosis. Hypoestrogenism is a major risk factor for the development of endometrial carcinoma (EC) therefore two major types are derived, type 1 being oestrogen-dependent and type 2 being oestrogen independent. Surgery, chemotherapeutic drugs, and radiation therapy are only a few of the treatment options for EC. Treatment of gynaecologic malignancies greatly depends on diagnosis or prognostic prediction. Diagnostic imaging data and clinical course prediction are the two core pillars of artificial intelligence (AI) applications. One of the most popular imaging techniques for spotting preoperative endometrial cancer is MRI, although this technique can only produce qualitative data. When used to classify patients, AI improves the effectiveness of visual feature extraction. In general, AI has the potential to enhance the precision and effectiveness of endometrial cancer diagnosis and therapy. This review aims to highlight the current status of applications of AI in endometrial cancer and provide a comprehensive understanding of how recent advancements in AI have assisted clinicians in making better diagnosis and improving prognosis of endometrial cancer. Still, additional study is required to comprehend its strengths and limits fully.

Knowledge and attitudes about burn complications in medical students.

Burn injury in developing countries is a major cause of morbidity and mortality. Pakistan faces a widespread problem of burn complications. The objective of this cross sectional study was to assess knowledge and attitudes in medical students regarding burn complications. A 12-question survey was distributed among 3rd, 4th and 5th year students of public sector medical colleges of Karachi, Pakistan. Out of 353 respondents, the proportion of students that were aware of burn complications was the following, with an expected response of 100% for each complication: depression [86%], fear [53.3%], post-traumatic stress disorder [40.8%], suicidal tendencies [35.1%], sleep disorder [30%], anxiety [27%], guilt [12.7%], personality changes [7%], eating disorder [5.4%], cardiac arrest [68%], hypothermia [64.3%], contractures [61%], infection [43.6%], chronic pain [41.6%], scarring [33%], chronic inflammation [24.9%], and muscle wasting [22.9%]. Most students were of the view that scarring occurs in third-degree burns [68%] only; being unaware of its presence in second-degree burns. 19.3% of the students incorrectly thought that surgery is needed for the healing of all burn patients. There appears to be a lack of basic knowledge about the physiological and psychological complications of burns among medical students of Pakistan.