AIMC Topic: Australia
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Dual-stream algorithms for dementia detection: Harnessing structured and unstructured electronic health record data, a novel approach to prevalence estimation.
Alzheimer's & dementia : the journal of the Alzheimer's Association
May 1, 2025
INTRODUCTION: Identifying individuals with dementia is crucial for prevalence estimation and service planning, but reliable, scalable methods are lacking. We developed novel set algorithms using both structured and unstructured electronic health reco...
Implementing artificial intelligence in breast cancer screening: Women's preferences.
Cancer
May 1, 2025
BACKGROUND: Artificial intelligence (AI) could improve accuracy and efficiency of breast cancer screening. However, many women distrust AI in health care, potentially jeopardizing breast cancer screening participation rates. The aim was to quantify c...
Understanding Public Judgements on Artificial Intelligence in Healthcare: Dialogue Group Findings From Australia.
Health expectations : an international journal of public participation in health care and health policy
Apr 1, 2025
INTRODUCTION: There is a rapidly increasing number of applications of healthcare artificial intelligence (HCAI). Alongside this, a new field of research is investigating public support for HCAI. We conducted a study to identify the conditions on Aust...
The use of robotic upper limb therapy in routine clinical practice for stroke survivors: Insights from Australian therapists.
Australian occupational therapy journal
Apr 1, 2025
INTRODUCTION: There is a limited understanding of therapist acceptance and use of robot-assisted upper limb therapy (RT-ULT) in routine practice. The aim of this study was to explore the factors that influence Australian therapist acceptance and use ...
Predicting amyloid beta accumulation in cognitively unimpaired older adults: Cognitive assessments provide no additional utility beyond demographic and genetic factors.
Alzheimer's & dementia : the journal of the Alzheimer's Association
Mar 1, 2025
BACKGROUND: Integrating non-invasive measures to estimate abnormal amyloid beta accumulation (Aβ+) is key to developing a screening tool for preclinical Alzheimer's disease (AD). The predictive capability of standard neuropsychological tests in estim...
How should artificial intelligence be used in breast screening? Women's reasoning about workflow options.
PloS one
Jan 1, 2025
Studies show that breast screening participants are open to artificial intelligence (AI) in breast screening, but hold concerns about AI performance, governance, equitable access, and dependence on technology. Little is known of consumers' views on h...
Radiomic analysis of cohort-specific diagnostic errors in reading dense mammograms using artificial intelligence.
The British journal of radiology
Jan 1, 2025
OBJECTIVES: This study aims to investigate radiologists' interpretation errors when reading dense screening mammograms using a radiomics-based artificial intelligence approach.
Gender and ethnicity bias in generative artificial intelligence text-to-image depiction of pharmacists.
The International journal of pharmacy practice
Nov 14, 2024
INTRODUCTION: In Australia, 64% of pharmacists are women but continue to be under-represented. Generative artificial intelligence (AI) is potentially transformative but also has the potential for errors, misrepresentations, and bias. Generative AI te...
Analysis of In-Home Movement Patterns for Depression Assessment in Older Adults - A Feasibility Study.
Studies in health technology and informatics
Sep 24, 2024
Depression significantly impacts the wellbeing of older Australians, posing considerable challenges to their overall quality of life. This study aimed to detect in-home movement patterns of participants that could be indicative of depressive states. ...
Melanoma imaging and diagnosis: What does the future hold?
Australian journal of general practice
Sep 1, 2024
BACKGROUND: In Australia, artificial intelligence (AI) is increasingly being used in the field of melanoma diagnosis. Early diagnosis is arguably the most important prognostic factor for melanoma survival. The use of digital monitoring of naevi, espe...
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