Publications by authors named "M A Stephanie Mertens"
Article Synopsis
- * A study aimed to create and validate a prediction model to anticipate IMPT success, analyzing 65 potential patient-reported measures from over 2,300 patients undergoing a 10-week treatment program.
- * The research found that treatment control was a consistent predictor across four developed models, which demonstrated strong predictive ability, highlighting the potential for personalized patient care and decision-making tools in managing CMP.
Spontaneous splenic rupture two days after laparoscopic sleeve gastrectomy.
Acta Chir Belg
November 2024
Introduction: Sleeve gastrectomy is a common bariatric procedure to manage morbid obesity. Splenic injury such as splenic rupture after sleeve gastrectomy is a rare complication which can be treated both with a splenectomy or conservative approach, called spleen-preserving surgery.
Patients And Methods: A 42-year old male, in whom we performed a sleeve gastrectomy, presented with splenic rupture, within 48 h postoperative, for which spleen-preserving surgery was performed.
Article Synopsis
- The increased use of ChatGPT and generative AI in critical areas like health care raises important ethical concerns, but there are still no clear, actionable solutions to these issues.
- Ongoing ethical discussions often overlook other forms of generative AI that can both alleviate and create new ethical problems, such as those involving data synthesis for research.
- This study conducted a scoping review to identify gaps in ethical discussions surrounding generative AI in health care and created a checklist to guide ethical assessment and evaluation in future research and product development.
Diabetes mellitus (DM) is a significant public health issue in Germany, affecting 8 million individuals, with projections suggesting a substantial increase in the following years. Diabetic Foot Syndrome (DFS), leading to mobility issues and limb amputations, challenging healthcare due to resource shortages and the need for specialized care. The EPWUF-KI project seeks to support outpatient caregivers by incorporating artificial intelligence (AI) into DFS wound care, focusing on optimizing treatment and automating documentation.
View Article and Find Full Text PDFThis article first describes the mechanism of any self-fulfilling prophecy through discussion of its four conditions: credibility, employment, employment sensitivity, and realization. Each condition is illustrated with examples specific to the medical context. The descriptive account ends with the definition of self-fulfilling prophecy and an expansion on collective self-fulfilling prophecies.
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