Publications by authors named "I Varkarakis"
There has been a growing need for enhancements in healthcare delivery, especially for the improvement of surgical outcomes. Therefore, implementing consistent reporting of complications enables the evaluation of data quality and facilitates its comparison. There are currently many available reporting and grading systems each with its own set of benefits and drawbacks.
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- The ASCAPE project focuses on enhancing the quality of life for cancer patients through AI-driven solutions, specifically analyzing sleep and urinary incontinence in prostate cancer patients following surgery.
- The study involved 42 participants with data collected through questionnaires and wearable devices over a year, aiming to uncover patterns to create personalized treatment interventions.
- Findings showed a significant correlation between poor sleep quality and urinary symptoms, indicating that improving sleep may help alleviate urinary issues in these patients.
Article Synopsis
- The growing processing power of computers has led to increased use of machine learning techniques in various everyday sectors, including therapeutic settings and robotic urologic surgery.
- Researchers reviewed studies on machine learning applications in robotic surgeries, focusing on areas like preoperative imaging, intraoperative anatomy matching, and bleeding prediction, with promising early outcomes from AI integration.
- Technologies like tension sensors and augmented reality are enhancing surgical precision by providing real-time monitoring, while the evolution of datasets and electronic health records is expected to further improve the effectiveness of AI in robotic surgery.
Background: In urology, ureteral stents are used to treat obstructive diseases. Hematuria (54%), fever, discomfort, and lower urinary system symptoms are the predominant symptoms related to ureteral stent.
Aim: This article links stent symptoms to double-j width and length, as well as patient's height, weight, and body mass index (BMI).
This comprehensive review critically examines the transformative impact of artificial intelligence (AI) and radiomics in the diagnosis, prognosis, and management of bladder, kidney, and prostate cancers. These cutting-edge technologies are revolutionizing the landscape of cancer care, enhancing both precision and personalization in medical treatments. Our review provides an in-depth analysis of the latest advancements in AI and radiomics, with a specific focus on their roles in urological oncology.
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