Papers by Shooshoo Ghasemi
Rhinoplasty, a surgical procedure aimed at reshaping the nose, requires a comprehensive understan... more Rhinoplasty, a surgical procedure aimed at reshaping the nose, requires a comprehensive understanding of both functional and aesthetic considerations. With recent advancements in artificial intelligence (AI) and deep learning techniques, there has been growing interest in exploring their potential applications in rhinoplasty. This review aims to provide an overview of the current literature on the use of AI in different aspects of rhinoplasty, including preoperative planning, intraoperative guidance, and postoperative analysis. Furthermore, challenges and future directions for integrating AI into rhinoplasty practice are discussed.
Melanoma is a complex disease with various clinical and histopathological features that impact pr... more Melanoma is a complex disease with various clinical and histopathological features that impact prognosis and treatment decisions. Traditional methods of melanoma prognosis involve manual examination and interpretation of clinical and histopathological data by dermatologists and pathologists. However, the subjective nature of these assessments can lead to inter-observer variability and suboptimal prognostic accuracy. AI, with its ability to analyze vast amounts of data and identify patterns, has emerged as a promising tool for improving melanoma prognosis. Methods: A comprehensive literature search was conducted to identify studies that employed AI techniques for melanoma prognosis. The search included databases such as PubMed and Google Scholar, using keywords such as "artificial intelligence," "melanoma," and "prognosis." Studies published between 2010 and 2022 were considered. The selected articles were critically reviewed, and relevant information was extracted. Results: The review identified various AI methodologies utilized in melanoma prognosis, including machine learning algorithms, deep learning techniques, and computer vision. These techniques have been applied to diverse data sources, such as clinical images, dermoscopy images, histopathological slides, and genetic data. Studies have demonstrated the potential of AI in accurately predicting melanoma prognosis, including survival outcomes, recurrence risk, and response to therapy. AI-based prognostic models have shown comparable or even superior performance compared to traditional methods.
Since the emergence of acute respiratory syndrome coronavirus (SARS-CoV-2, the virus that causes ... more Since the emergence of acute respiratory syndrome coronavirus (SARS-CoV-2, the virus that causes COVID-19), which was first reported in China in December 2019 and later declared a global pandemic by the World Health Organization on March 11, 2020, nearly 51 million cases of COVID-19 have been reported worldwide, with over 333446 deaths last year. Aside from the acute mortality triggered by COVID-19, there are increasing concerns about the impact of the pandemic on health facilities. Patients may have been hesitant to phone emergency medical services (EMS) or go to emergency rooms due to lockdown and movement restrictions enforced in some nations, as well as the fear of contamination in hospitals, resulting in inadequate health care and delays. Furthermore, entire healthcare systems have been restructured to deal with this enormous influx of people with a highly contagious new disease. Routine medical activities, such as scheduled hospitalizations and consultations, were postponed in order to focus on COVID-19 care and prevent exposing stable patients to the danger of contamination at the hospital. Overall, the indirect impacts of the COVID-19 pandemic could have a negative effect on human health. Healthcare workers suffer from occupational stress during the pandemic, which, in turn, may lead to distress, burnout, psychosomatic problems, and cardiac arrest during their interventions in the treatment of hospitalized patients. Now with the death of medical residents in a row, many doctors and residents are using social media to share their bitter experiences with everyone with the hashtag ''Tell a resident ''
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Papers by Shooshoo Ghasemi