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The diagnostic, therapeutic, and ethical impact of artificial intelligence in modern medicine
AR Katwaroo, VS Adesh, A Lowtan… - Postgraduate medical …, 2024 - academic.oup.com
In the evolution of modern medicine, artificial intelligence (AI) has been proven to provide an
integral aspect of revolutionizing clinical diagnosis, drug discovery, and patient care. With …
integral aspect of revolutionizing clinical diagnosis, drug discovery, and patient care. With …
Position statements of the emerging trends committee of the Asian Oceanian Society of Radiology on the adoption and implementation of artificial intelligence for …
NK Wee, KA Git, WJ Lee, G Raval… - Korean Journal of …, 2024 - pmc.ncbi.nlm.nih.gov
Artificial intelligence (AI) is rapidly gaining recognition in the radiology domain as a greater
number of radiologists are becoming AI-literate. However, the adoption and implementation …
number of radiologists are becoming AI-literate. However, the adoption and implementation …
Bias in artificial intelligence for medical imaging: fundamentals, detection, avoidance, mitigation, challenges, ethics, and prospects
Although artificial intelligence (AI) methods hold promise for medical imaging-based
prediction tasks, their integration into medical practice may present a double-edged sword …
prediction tasks, their integration into medical practice may present a double-edged sword …
Enhancing semantic segmentation in chest X-ray images through image preprocessing: ps-KDE for pixel-wise substitution by kernel density estimation
Background In medical imaging, the integration of deep-learning-based semantic
segmentation algorithms with preprocessing techniques can reduce the need for human …
segmentation algorithms with preprocessing techniques can reduce the need for human …
Mitigating the risk of health inequity exacerbated by large language models
Recent advancements in large language models have demonstrated their potential in
numerous medical applications, particularly in automating clinical trial matching for …
numerous medical applications, particularly in automating clinical trial matching for …
Independent evaluation of the accuracy of 5 artificial intelligence software for detecting lung nodules on chest X-rays
Background The integration of artificial intelligence (AI) into medicine is growing, with some
experts predicting its standalone use soon. However, skepticism remains due to limited …
experts predicting its standalone use soon. However, skepticism remains due to limited …
The potential of large language models for radiology report simplification and translations
Effective communication lies at the heart of quality patient-centered healthcare, especially
within specialized fields like radiology1. Radiology reports, replete with intricate medical …
within specialized fields like radiology1. Radiology reports, replete with intricate medical …
PRECISE framework: GPT-based text for improved readability, reliability, and understandability of radiology reports for patient-centered care
This study introduces and evaluates the PRECISE framework, utilizing OpenAI's GPT-4 to
enhance patient engagement by providing clearer and more accessible chest X-ray reports …
enhance patient engagement by providing clearer and more accessible chest X-ray reports …
Self-supervised learning for chest computed tomography: training strategies and effect on downstream applications
Purpose Self-supervised pre-training can reduce the amount of labeled training data
needed by pre-learning fundamental visual characteristics of the medical imaging data. We …
needed by pre-learning fundamental visual characteristics of the medical imaging data. We …
The US Government's Latest Presidential Executive Order on Artificial Intelligence: Potential Implications in Radiology
During the preparation of this work the author (s) used Anthropic's Claude 2 in order to
improve overall readability and assist with itemized summarization. After using this …
improve overall readability and assist with itemized summarization. After using this …