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http://dx.doi.org/10.12968/jowc.2005.14.6.26788 | DOI Listing |
AEM Educ Train
February 2025
Department of Medicine, Division of Pulmonary and Critical Care, Sidney Kimmel Medical College Thomas Jefferson University Philadelphia Pennsylvania USA.
Background: Uncertainty is a pervasive challenge in clinical practice. Whereas the importance of humility in navigating uncertainty has been discussed, empirical research on how humility is practiced or expressed (i.e.
View Article and Find Full Text PDFDigit Health
January 2025
Institute of Health Informatics, London, UK.
Background: Personal health records (PHRs) or patient portals have been on the healthcare policy agenda for many countries as a promising mechanism to support patient-centred healthcare by making medical records accessible to patients and those assisting patients in health self-management. Studies on clinical outcome have been inconsistent. To help us to understand why, we propose to look at measures that precede clinical outcome, specifically patient engagement and activation.
View Article and Find Full Text PDFSurg Pract Sci
September 2024
Department of Surgery, Division of Surgical Oncology, College of Medicine, University of Florida, Gainesville, FL, USA.
Introduction: Thyroidectomy is considered a relatively safe procedure with a low risk of postoperative complications, making it challenging to identify predictors of complications to improve shared decision making. Recent advancements in clinical bioinformatics and surgical decision-making tools have the potential to improve patient outcomes. This systematic review aimed to assess the current understanding of factors predicting such complications following thyroidectomy.
View Article and Find Full Text PDFFront Artif Intell
January 2025
National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
The rapid advancement of artificial intelligence (AI) has introduced transformative opportunities in oncology, enhancing the precision and efficiency of tumor diagnosis and treatment. This review examines recent advancements in AI applications across tumor imaging diagnostics, pathological analysis, and treatment optimization, with a particular focus on breast cancer, lung cancer, and liver cancer. By synthesizing findings from peer-reviewed studies published over the past decade, this paper analyzes the role of AI in enhancing diagnostic accuracy, streamlining therapeutic decision-making, and personalizing treatment strategies.
View Article and Find Full Text PDFSurg Pract Sci
December 2024
The University of Adelaide, Discipline of Surgery, The Queen Elizabeth Hospital, South Australia, Australia.
Background: Preoperative assessment of risk for emergency laparotomy may enhance decision making with regards to urgency or perioperative critical care admission and promote a more informed consent process for patients. Accordingly, we aimed to assess the performance of risk assessment tools in predicting mortality after emergency laparotomy.
Methods: PubMed, Embase, the Cochrane Library and CINAHL were searched to 12 February 2022 for observational studies reporting expected mortality based on a preoperative risk assessment and actual mortality after emergency laparotomy.
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