AIMC Topic: Australia
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Using machine learning to predict bleeding after cardiac surgery.
European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery
Dec 1, 2023
OBJECTIVES: The primary objective was to predict bleeding after cardiac surgery with machine learning using the data from the Australia New Zealand Society of Cardiac and Thoracic Surgeons Cardiac Surgery Database, cardiopulmonary bypass perfusion da...
Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes.
Journal of the American Medical Informatics Association : JAMIA
Nov 17, 2023
OBJECTIVE: To develop a deep learning algorithm (DLA) to detect diabetic kideny disease (DKD) from retinal photographs of patients with diabetes, and evaluate performance in multiethnic populations.
A Deep Learning Algorithm to Identify Anatomical Landmarks on Computed Tomography of the Temporal Bone.
The journal of international advanced otology
Oct 1, 2023
BACKGROUND: Petrous temporal bone cone-beam computed tomography scans help aid diagnosis and accurate identification of key operative landmarks in temporal bone and mastoid surgery. Our primary objective was to determine the accuracy of using a deep ...
Multicenter Validation of Deep Learning Algorithm ROP.AI for the Automated Diagnosis of Plus Disease in ROP.
Translational vision science & technology
Aug 1, 2023
PURPOSE: Retinopathy of prematurity (ROP) is a sight-threatening vasoproliferative retinal disease affecting premature infants. The detection of plus disease, a severe form of ROP requiring treatment, remains challenging owing to subjectivity, freque...
Personal Data for Public Benefit: The Regulatory Determinants of Social Licence for Technologically Enhanced Antimicrobial Resistance Surveillance.
Journal of law and medicine
May 1, 2023
Technologically enhanced surveillance systems have been proposed for the task of monitoring and responding to antimicrobial resistance (AMR) in both human, animal and environmental contexts. The use of these systems is in their infancy, although the ...
Measures of socioeconomic advantage are not independent predictors of support for healthcare AI: subgroup analysis of a national Australian survey.
BMJ health & care informatics
May 1, 2023
Applications of artificial intelligence (AI) have the potential to improve aspects of healthcare. However, studies have shown that healthcare AI algorithms also have the potential to perpetuate existing inequities in healthcare, performing less effe...
Content analysis of psychological first aid training manuals via topic modelling.
European journal of psychotraumatology
Jan 1, 2023
Psychological First Aid (PFA) is practiced worldwide. This practice in English is guided through a small collection of training manuals. Despite ubiquitous practice and formal training materials, little is known about what topics are covered and in ...
Multi-model fusion short-term power load forecasting based on improved WOA optimization.
Mathematical biosciences and engineering : MBE
Sep 14, 2022
The high accuracy of short-term power load forecasting has a pivotal role in helping power companies to construct reasonable production scheduling plans and avoid resource waste. In this paper, a multi-model short-term power load prediction method ba...
Predicting Readmission Following Hospital Treatment for Patients with Alcohol Related Diagnoses in an Australian Regional Health District.
Studies in health technology and informatics
Jun 6, 2022
This study aims to investigate the prediction of hospital readmission of alcohol use disorder patients within 28 days of discharge and compare the performance of six machine learning methods i.e., random forest (RF), logistics regression, linear supp...
Robotics in Australian urology contemporary practice and future perspectives.
ANZ journal of surgery
Nov 1, 2021
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