AIMC Topic: Health Care Surveys
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Machine learning in neurosurgery: a global survey.
Acta neurochirurgica
Aug 18, 2020
BACKGROUND: Recent technological advances have led to the development and implementation of machine learning (ML) in various disciplines, including neurosurgery. Our goal was to conduct a comprehensive survey of neurosurgeons to assess the acceptance...
Predictors of emergency department opioid administration and prescribing: A machine learning approach.
The American journal of emergency medicine
Jul 18, 2020
INTRODUCTION: The opioid epidemic has altered normative clinical perceptions on addressing both acute and chronic pain, particularly within the Emergency Department (ED) setting, where providers are now confronted with balancing pain management and p...
Use of natural language processing to improve predictive models for imaging utilization in children presenting to the emergency department.
BMC medical informatics and decision making
Dec 30, 2019
OBJECTIVE: To examine the association between the medical imaging utilization and information related to patients' socioeconomic, demographic and clinical factors during the patients' ED visits; and to develop predictive models using these associated...
A survey on the future of radiology among radiologists, medical students and surgeons: Students and surgeons tend to be more skeptical about artificial intelligence and radiologists may fear that other disciplines take over.
European journal of radiology
Nov 9, 2019
PURPOSE: To evaluate the opinion and assessment of radiologists, surgeons and medical students on a number of important topics regarding the future of radiology, such as artificial intelligence (AI), turf battles, teleradiology and 3D-printing.
Primary care physicians' perceived barriers, facilitators and strategies to enhance conservative care for older adults with chronic kidney disease: a qualitative descriptive study.
Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association
Dec 17, 2015
BACKGROUND: Although primary care physicians (PCPs) are often responsible for the routine care of older adults with chronic kidney disease (CKD), there is a paucity of evidence regarding their perspectives and practice of conservative (non-dialysis) ...
Assessment of brain-machine interfaces from the perspective of people with paralysis.
Journal of neural engineering
Jul 14, 2015
OBJECTIVE: One of the main goals of brain-machine interface (BMI) research is to restore function to people with paralysis. Currently, multiple BMI design features are being investigated, based on various input modalities (externally applied and surg...
Assessment of surveys for the management of hospital clinical pharmacy services.
Artificial intelligence in medicine
Apr 23, 2015
OBJECTIVE: Survey data sets are important sources of data, and their successful exploitation is of key importance for informed policy decision-making. We present how a survey analysis approach initially developed for customer satisfaction research in...
Machine Learning for Medical Coding in Healthcare Surveys.
Vital and health statistics. Ser. 1, Programs and collection procedures
Oct 1, 2021
Objectives Medical coding, or the translation of healthcare information into numeric codes, is expensive and time intensive. This exploratory study evaluates the use of machine learning classifiers to perform automated medical coding for large statis...
Can AI Fix Medical Records?
Nature
Dec 1, 2019
Benefits of Robotic Camera Assistance in Minimally Invasive Bariatric Procedures: Prospective Clinical Trial Using a Joystick-Guided Camera-Holder.
Surgical technology international
May 15, 2019
BACKGROUND: While minimally invasive surgery is a growing sector in medicine, camera assistance remains a problem. Especially in bariatric surgery, the assistant holding the camera faces certain challenges. Furthermore, unless the surgeon controls th...
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