Articles: surgery.
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In recent years, there has been growing interest in laparoscopic liver resection (LLR) and the audit of the results of surgical procedures. The aim of this study was to define reference values for LLR in segments 7 and 8. ⋯ This study shows the need to establish standards for the postoperative outcomes in LLR based on the complexity of the resection and the location of the lesions.
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J Neurosurg Anesthesiol · Apr 2024
Enhanced Recovery After Surgery for Craniotomies: A Systematic Review and Meta-analysis.
The efficacy of the enhanced recovery after surgery (ERAS) protocols in neurosurgery has not yet been established. We performed a systematic review and meta-analysis of randomized controlled trials to compare the effects of ERAS protocols and conventional perioperative care on postoperative outcomes in patients undergoing craniotomy. The primary outcome was postoperative length of hospital stay. ⋯ Other outcomes, including postoperative complications, did not differ between ERAS and conventional care groups. ERAS protocols may be superior to conventional perioperative care in craniotomy patients in terms of lower length of hospital stay, lower incidence of PONV, and improved postoperative pain scores. Further randomized trials are required to identify the impact of ERAS protocols on the quality of recovery after craniotomy.
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Review
The diagnostic, therapeutic, and ethical impact of artificial intelligence in modern medicine.
In the evolution of modern medicine, artificial intelligence (AI) has been proven to provide an integral aspect of revolutionizing clinical diagnosis, drug discovery, and patient care. With the potential to scrutinize colossal amounts of medical data, radiological and histological images, and genomic data in healthcare institutions, AI-powered systems can recognize, determine, and associate patterns and provide impactful insights that would be strenuous and challenging for clinicians to detect during their daily clinical practice. The outcome of AI-mediated search offers more accurate, personalized patient diagnoses, guides in research for new drug therapies, and provides a more effective multidisciplinary treatment plan that can be implemented for patients with chronic diseases. ⋯ AI-powered algorithms can now accurately and sensitively identify cancer cells and other lesions in medical images with greater accuracy and sensitivity. This allows for earlier diagnosis and treatment, which can significantly impact patient outcomes. This review provides a comprehensive insight into diagnostic, therapeutic, and ethical issues with the advent of AI in modern medicine.