Irish journal of medical science
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Artificial intelligence (AI) is a technique to make intelligent machines, mainly by using smart computer programs. It is based on a statistical analysis of data or machine learning. Using machine learning, software algorithms are designed according to the desired application. ⋯ At present, artificial intelligence (AI) is used while deciding the treatment, and medications using various tools which could analyze X-rays, CT scans, MRIs, and any other data. During the COVID pandemic, there was a huge/massive demand for AI-supported technologies and many of those were created during that time. This study is focused on various applications of AI in healthcare.
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The objective was to investigate the current evidence and discern urinary continence rates post robot-assisted laparoscopic radical prostatectomy (RALP). ⋯ Early continence rates were improved across numerous techniques in RALP. These results were not translated into significantly improved long-term outcomes. Continence rates following RALP were favourable compared to LRP, similar to ORP and less favourable compared to BT. Our findings suggest that post-RALP continence can be further improved with alterations in robotic technique.
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Review
Efficacy of embolotherapy for the treatment of pelvic congestion syndrome: A systematic review.
Pelvic congestion syndrome (PCS) poses a significant health, diagnostic, and economic challenges. Transcatheter embolisation has emerged as a promising treatment for PCS. A systematic review was performed in order to assess the safety and efficacy of transcatheter embolisation in the treatment of PCS. ⋯ Fifteen out of 19 (78.9%) major complications required a subsequent intervention. Transcatheter embolisation using various techniques is effective and safe in treating PCS. A low quality of evidence limits the currently available literature; however, embolisation has shown to improve symptoms in the majority of patients with low complication rates and recurrence rates.
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Robot-assisted axillary lymph node dissection (RALND) has been proposed to improve surgical and oncological outcomes for patients with breast cancer. To perform a systematic review of current literature evaluating RALND in patients with invasive breast cancer. A systematic search was performed in accordance with the PRISMA guidelines. Studies outlining outcomes following RALND were included. Two studies involving 92 patients were included in this review. Of these, 41 underwent RALND using the da Vinci© robotic system (44.57%), and 51 underwent conventional axillary lymph node dissection (CALND) (55.43%). ⋯ Oncological outcomes were only reported in one of the studies, which concluded that there was no local or metastatic recurrence in either group at 3-month follow-up. These provisional results support RALND as a safe alternative to CALND. Notwithstanding, the paucity of data limits the robustness of conclusions which may be drawn surrounding the adoption of RALND as the standard of care. Further high-quality studies are required to ratify these findings.
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The biological function of YKL-40 is not well determined in different inflammatory and autoimmune diseases; however, some data highlighted its possible connection with disease activity. ⋯ YKL-40 in serum could be a promising biomarker in patients with SLE, especially in adolescent-onset cases. It is independently influenced by disease duration, anemia, thrombocytopenia, positive anti-dsDNA, and APL ab features.