Publications by authors named "S Hahrzad Rajaei Firouzabadi"
Article Synopsis
- Frailty is a critical factor in assessing the risk of postoperative complications and mortality in older adults undergoing cholecystectomy, providing a better indication of health than age alone.
- A systematic review of nine studies found that frail patients had significantly higher odds of short-term mortality, postoperative morbidity, and longer hospital stays.
- Incorporating frailty evaluations in preoperative assessments could lead to more individualized treatment strategies and improved patient outcomes.
Background: Primary ovarian insufficiency (POI) manifests with hormonal imbalances, menstrual irregularities, follicle loss, and infertility. Mesenchymal stem cell-derived extracellular vesicles (MSC-EVs) are emerging as a promising treatment for POI. This systematic review aims to assess the effects of MSC-EVs on follicle number, hormonal profile, and fertility in POI animal models.
View Article and Find Full Text PDFBackground: Traumatic brain injury (TBI) is defined as acquired cerebral damage caused by an external mechanical impact, which has the potential to lead to transient or enduring debilitation. TBI is associated with many forms of long-lasting psychiatric conditions, including anxiety disorders. As anxiety is highly debilitating by causing impaired social functioning and decreased quality of life for the afflicted, especially in the form of anxiety disorders such as generalized anxiety disorder, certain efforts have been made to explore the factors associated with it, and one such factor is TBI.
View Article and Find Full Text PDFArticle Synopsis
- Medical decision-making is crucial in psychiatry, where diagnoses often depend on subjective reports; AI, especially Large Language Models (LLMs) like GPT, shows promise in improving diagnostic accuracy.
- A comparative study evaluated several AI models, including GPT-3.5 and GPT-4, using 20 clinical cases from the DSM-5 to assess their diagnostic capabilities.
- Results indicated that GPT models outperformed others in accuracy and reasoning, particularly for psychotic and bipolar disorders, highlighting the potential of AI to enhance psychiatric diagnosis despite some limitations in other models.
Article Synopsis
- Intraoperative Hypotension (IOH) is a significant risk during surgeries, and using Artificial Intelligence (AI) to predict IOH could improve patient safety and outcomes.
- A systematic review and meta-analysis were conducted, analyzing 43 studies that evaluated AI models, especially focusing on the Hypotension Prediction Index (HPI) and other AI methods across various surgical types.
- Results indicated that HPI had a strong predictive performance (AUROC of 0.89), significantly reducing the duration of hypotension, while non-HPI models also showed promise with an AUROC of 0.79.