Artificial Intelligence in Medical Imaging: Diagnosis and Beyond

IF 1.3 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Journal of Medical Imaging and Radiation Sciences Pub Date : 2024-10-01 DOI:10.1016/j.jmir.2024.101454
Prof Jing Cai
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Abstract

Artificial Intelligence (AI) is evolving rapidly and promises to transform the field of medical imaging and diagnosis in an unprecedented way. The tremendous possibilities that AI can bring to precision medicine have triggered a flood of activities in the field. Particularly, with the support of big data and accelerated computation, deep learning is taking off with tremendous algorithmic innovations and powerful neural network models. AI technology has great promises in improving medical imaging diagnosis from early detection to precise assessment. It can aid radiologists in reaching unbiased consensus imaging, update practitioners, reduce professional costs, and improve quality assurance in clinical trials and patient care. Given the promising learning tools and massive computational resources that are becoming readily available, AI will dramatically change the landscape of medical diagnosis research and practice soon. This presentation will give a glance of some recent advances in AI for precision diagnosis, together with some thoughts generated and lessons learnt from related research.
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医学影像中的人工智能:诊断及其他
人工智能(AI)发展迅速,有望以前所未有的方式改变医学成像和诊断领域。人工智能为精准医疗带来的巨大可能性引发了该领域的大量活动。特别是,在大数据和加速计算的支持下,深度学习正以巨大的算法创新和强大的神经网络模型飞速发展。从早期检测到精确评估,人工智能技术在改善医学影像诊断方面大有可为。它可以帮助放射科医生达成无偏见的成像共识,更新从业人员,降低专业成本,提高临床试验和患者护理的质量保证。鉴于学习工具和海量计算资源前景广阔,人工智能将很快极大地改变医学诊断研究和实践的格局。本讲座将介绍人工智能在精准诊断方面的一些最新进展,以及从相关研究中产生的一些想法和汲取的经验教训。
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来源期刊
Journal of Medical Imaging and Radiation Sciences
Journal of Medical Imaging and Radiation Sciences RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
CiteScore
2.30
自引率
11.10%
发文量
231
审稿时长
53 days
期刊介绍: Journal of Medical Imaging and Radiation Sciences is the official peer-reviewed journal of the Canadian Association of Medical Radiation Technologists. This journal is published four times a year and is circulated to approximately 11,000 medical radiation technologists, libraries and radiology departments throughout Canada, the United States and overseas. The Journal publishes articles on recent research, new technology and techniques, professional practices, technologists viewpoints as well as relevant book reviews.
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