AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Australia

Showing 181 to 190 of 203 articles

Clear Filters

Multicenter Validation of Deep Learning Algorithm ROP.AI for the Automated Diagnosis of Plus Disease in ROP.

Translational vision science & technology
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
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
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
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
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
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...

Ethics and standards in the use of artificial intelligence in medicine on behalf of the Royal Australian and New Zealand College of Radiologists.

Journal of medical imaging and radiation oncology
INTRODUCTION: The Royal Australian and New Zealand College of Radiologists (RANZCR) led the medical community in Australia and New Zealand in considering the impact of machine learning and artificial intelligence (AI) in health care. RANZCR identifie...

Maintaining Privacy in Artificial Intelligence-driven Bioinformatics: An Inquiry into the Suitability of Australia's Laws.

Journal of law and medicine
Since its humble origins in 1950, artificial intelligence (AI) has experienced exponential growth. In 2020 it seems that there is an AI for just about every aspect of life - from targeted advertising to minimally invasive surgery. It is generally tho...