Studies in health technology and informatics
Jan 25, 2024
Artificial Intelligence (AI) has great potential to improve healthcare, but implementation into routine practice remains a challenge. This study scoped the extent to which AI and Natural Language Processing (NLP) is being implemented into routine pra...
Studies in health technology and informatics
Jan 25, 2024
This study evaluated the usability and effectiveness of an artificial intelligence application for wound assessment and management from a clinician-and-patient perspective. A quasi-experimental design was conducted in four settings in an Australian h...
Studies in health technology and informatics
Jan 25, 2024
Nursing staff record observations about older people under their care in free-text nursing notes. These notes contain older people's care needs, disease symptoms, frequency of symptom occurrence, nursing actions, etc. Therefore, it is vital to develo...
Studies in health technology and informatics
Jan 25, 2024
Natural Language Processing (NLP) is a powerful technique for extracting valuable information from unstructured electronic health records (EHRs). However, a prerequisite for NLP is the availability of high-quality annotated datasets. To date, there i...
OBJECTIVE: This study aimed to assess the practicality and trustworthiness of explainable artificial intelligence (XAI) methods used for explaining clinical predictive models.
The introduction of novel medical technology, such as artificial intelligence (AI), into traditional clinical practice presents legal liability challenges that need to be squarely addressed by litigants and courts when something goes wrong. Some of t...
Australian journal of general practice
Dec 1, 2023
BACKGROUND AND OBJECTIVES: The potential of artificial intelligence in medical practice is increasingly being investigated. This study aimed to examine OpenAI's ChatGPT in answering medical multiple choice questions (MCQ) in an Australian context.
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...
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.
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 ...