AIMC Topic: Allied Health Personnel
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Using artificial intelligence to improve healthcare delivery in select allied health disciplines: a scoping review protocol.
BMJ open
Mar 18, 2025
INTRODUCTION: Methods to adopt artificial intelligence (AI) in healthcare clinical practice remain unclear. The potential for rapid integration of AI-enabled technologies across healthcare settings coupled with the growing digital divide in the healt...
Allied Health Professionals' Perceptions of Artificial Intelligence in the Clinical Setting: Cross-Sectional Survey.
JMIR formative research
Dec 30, 2024
BACKGROUND: Artificial intelligence (AI) has the potential to address growing logistical and economic pressures on the health care system by reducing risk, increasing productivity, and improving patient safety; however, implementing digital health te...
Gender bias in text-to-image generative artificial intelligence depiction of Australian paramedics and first responders.
Australasian emergency care
Dec 2, 2024
INTRODUCTION: In Australia, almost 50 % of paramedics are female yet they remain under-represented in stereotypical depictions of the profession. The potentially transformative value of generative artificial intelligence (AI) may be limited by stereo...
Perspectives of medical imaging professionals about the impact of AI on Swiss radiographers.
Journal of medical imaging and radiation sciences
Aug 27, 2024
INTRODUCTION: Artificial Intelligence (AI) is increasingly implemented in medical imaging practice, however, its impact on radiographers practice is not well studied. The aim of this study was to explore the perceived impact of AI on radiographers' a...
AI assisted reader evaluation in acute CT head interpretation (AI-REACT): protocol for a multireader multicase study.
BMJ open
Feb 12, 2024
INTRODUCTION: A non-contrast CT head scan (NCCTH) is the most common cross-sectional imaging investigation requested in the emergency department. Advances in computer vision have led to development of several artificial intelligence (AI) tools to det...
Detection of fibrosing interstitial lung disease-suspected chest radiographs using a deep learning-based computer-aided detection system: a retrospective, observational study.
BMJ open
Jan 22, 2024
OBJECTIVES: To investigate the effectiveness of BMAX, a deep learning-based computer-aided detection system for detecting fibrosing interstitial lung disease (ILD) on chest radiographs among non-expert and expert physicians in the real-world clinical...
Chatting Beyond ChatGPT: Advancing Equity Through AI-Driven Language Interpretation.
Journal of general internal medicine
Oct 30, 2023
Medical interpretation is an underutilized resource, despite its legal mandate and proven efficacy in improving health outcomes for populations with low English proficiency. This disconnect can often be attributed to the costs and wait-times associat...
Artificial intelligence-aided method to detect uterine fibroids in ultrasound images: a retrospective study.
Scientific reports
Mar 6, 2023
We explored a new artificial intelligence-assisted method to assist junior ultrasonographers in improving the diagnostic performance of uterine fibroids and further compared it with senior ultrasonographers to confirm the effectiveness and feasibilit...
Deep learning-based classification of adequate sonographic images for self-diagnosing deep vein thrombosis.
PloS one
Mar 6, 2023
BACKGROUND: Pulmonary thromboembolism is a serious disease that often occurs in disaster victims evacuated to shelters. Deep vein thrombosis is the most common reason for pulmonary thromboembolism, and early prevention is important. Medical technicia...
Singapore radiographers' perceptions and expectations of artificial intelligence - A qualitative study.
Journal of medical imaging and radiation sciences
Sep 15, 2022
INTRODUCTION: With the emergence of artificial intelligence (AI) in medical imaging, radiographers are likely to be at the forefront of this technological advancement. Studies have therefore been conducted recently to understand radiographers' opinio...
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