Artificial Intelligence (AI) has the potential to revolutionize medical training, diagnostics, treatment planning, and healthcare delivery while also bringing challenges such as data privacy, the risk of technological overreliance, and the preservation of critical thinking. This manuscript explores the impact of AI and Machine Learning (ML) on healthcare interactions, focusing on faculty, students, clinicians, and patients. AI and ML's early inclusion in the medical curriculum will support student-centered learning; however, all stakeholders will require specialized training to bridge the gap between medical practice and technological innovation.
View Article and Find Full Text PDFBackground: The value of platelet characteristics as a prognostic factor in patients with pancreatic adenocarcinoma (PDAC) remains unclear.
Methods: We assessed the prognostic ability of post-splenectomy thrombocytosis in patients who underwent left pancreatectomy for PDAC. Perioperative platelet count ratio (PPR), defined as the ratio between the maximum platelet count during the first five days following surgery and the preoperative level, was assessed in relation to long-term outcomes in patients who underwent left pancreatectomy for PDAC between November 2008 and October 2022.
J Laparoendosc Adv Surg Tech A
June 2023
Management of pilonidal sinus (PNS) disease has changed notably in the past decade, with the introduction of novel surgical techniques and technological innovation. In this study, we summarized our initial experience with sinus laser-assisted closure (SiLaC) of pilonidal disease. A retrospective analysis of a prospective database of all patients who underwent minimally invasive surgery combined with laser therapy for PNS between September 2018 and December 2020 was performed.
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