AIMC Topic: Denmark
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Exploring Patient Experiences With and Perceptions of Robotic-Assisted Surgery in Denmark.
AORN journal
May 1, 2025
Although the use of robotic-assisted surgery (RAS) is increasing worldwide, qualitative research on the patient experience with RAS is lacking. To understand patients' perioperative experiences, the authors conducted semi-structured interviews with f...
Predicting Diagnostic Progression to Schizophrenia or Bipolar Disorder via Machine Learning.
JAMA psychiatry
May 1, 2025
IMPORTANCE: The diagnosis of schizophrenia and bipolar disorder is often delayed several years despite illness typically emerging in late adolescence or early adulthood, which impedes initiation of targeted treatment.
Prehospital triage of trauma patients: predicting major surgery using artificial intelligence as decision support.
The British journal of surgery
Mar 28, 2025
BACKGROUND: Matching the necessary resources and facilities to attend to the needs of trauma patients is traditionally performed by clinicians using criteria-directed triage protocols. In the present study, it was hypothesized that an artificial inte...
Predicting Patient No-Shows: Situated Machine Learning with Imperfect Data.
Studies in health technology and informatics
Aug 22, 2024
Patients who do not show up for scheduled appointments are a considerable cost and concern in healthcare. In this study, we predict patient no-shows for outpatient surgery at the endoscopy ward of a hospital in Denmark. The predictions are made by tr...
Using AI to Identify Unremarkable Chest Radiographs for Automatic Reporting.
Radiology
Aug 1, 2024
Background Radiology practices have a high volume of unremarkable chest radiographs and artificial intelligence (AI) could possibly improve workflow by providing an automatic report. Purpose To estimate the proportion of unremarkable chest radiograph...
Early Indicators of the Impact of Using AI in Mammography Screening for Breast Cancer.
Radiology
Jun 1, 2024
Background Retrospective studies have suggested that using artificial intelligence (AI) may decrease the workload of radiologists while preserving mammography screening performance. Purpose To compare workload and screening performance for two cohort...
Real-Time Identification of Pancreatic Cancer Cases Using Artificial Intelligence Developed on Danish Nationwide Registry Data.
JCO clinical cancer informatics
Sep 1, 2023
PURPOSE: Pancreatic cancer is expected to be the second leading cause of cancer-related deaths worldwide within few years. Most patients are not diagnosed in time for curative-intent treatment. Accelerating the time of diagnosis is a key component of...
Deep Learning for Cross-Diagnostic Prediction of Mental Disorder Diagnosis and Prognosis Using Danish Nationwide Register and Genetic Data.
JAMA psychiatry
Feb 1, 2023
IMPORTANCE: Diagnoses and treatment of mental disorders are hampered by the current lack of objective markers needed to provide a more precise diagnosis and treatment strategy.
[Robotic surgery has been widely adopted within gynaecology in Denmark].
Ugeskrift for laeger
Sep 5, 2022
Gynaecologic robot-assisted laparoscopic surgery (RALS) is adopted in all Danish regions. It is primarily used in gynaecologic oncology but is increasingly introduced in benign surgery as well. Today > 90% of Danish women with early-stage endometrial...
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