AIMC Topic: Denmark

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Predicting Sex-Specific Nonfatal Suicide Attempt Risk Using Machine Learning and Data From Danish National Registries.

American journal of epidemiology
Suicide attempts are a leading cause of injury globally. Accurate prediction of suicide attempts might offer opportunities for prevention. This case-cohort study used machine learning to examine sex-specific risk profiles for suicide attempts in Dani...

Evaluation of a Medication Robot Through Participatory Design Methods - A Case Study in Denmark.

Studies in health technology and informatics
The demographics in Denmark are changing. People's life expectancy is increasing, which puts a strain on the home care resources. The aim of this article is to get a deeper insight to how a specific medication robot in elders' homes can be further de...

Can Machine-learning Algorithms Predict Early Revision TKA in the Danish Knee Arthroplasty Registry?

Clinical orthopaedics and related research
BACKGROUND: Revision TKA is a serious adverse event with substantial consequences for the patient. As the demand for TKA rises, reducing the risk of revision TKA is becoming increasingly important. Predictive tools based on machine-learning algorithm...

[Artificial intelligence in Danish healthcare].

Ugeskrift for laeger
Artificial intelligence (AI) and machine learning have become important in medicine as shown in this review. Automatic tools can be trained to analyse patient data and thereby be a great asset to doctors when diagnosing and treating patients. Denmark...

Prediction of Sex-Specific Suicide Risk Using Machine Learning and Single-Payer Health Care Registry Data From Denmark.

JAMA psychiatry
IMPORTANCE: Suicide is a public health problem, with multiple causes that are poorly understood. The increased focus on combining health care data with machine-learning approaches in psychiatry may help advance the understanding of suicide risk.

Visualizing patient journals by combining vital signs monitoring and natural language processing.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
This paper presents a data-driven approach to graphically presenting text-based patient journals while still maintaining all textual information. The system first creates a timeline representation of a patients' physiological condition during an admi...

Robotic-assisted laparoscopic hysterectomy for women with endometrial cancer - complications, women´s experiences, quality of life and a health economic evaluation.

Danish medical journal
This thesis contains four studies all focusing on women with endometrial cancer undergoing robotic-assisted laparoscopic hysterectomy (RALH). Women with endometrial cancer are typically elderly with co-morbidities. RALH is a relatively new treatment ...

Surgical Residents are Excluded From Robot-assisted Surgery.

Surgical laparoscopy, endoscopy & percutaneous techniques
PURPOSE: Implementation of a robotic system may influence surgical training. The aim was to report the charge of the operating surgeon and the bedside assistant at robot-assisted procedures in urology, gynecology, and colorectal surgery.

Implementation of a multidisciplinary robotic centre in a high-volume university hospital.

Danish medical journal
INTRODUCTION: We describe the initiation of a multidisciplinary centre for robotic surgery including the implementation of robotic-assisted procedures as standard procedure for the majority of cancer operations in urology, gynaecology and gastrointes...