Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine
F Pesapane, M Codari, F Sardanelli - European radiology experimental, 2018 - Springer
One of the most promising areas of health innovation is the application of artificial
intelligence (AI), primarily in medical imaging. This article provides basic definitions of terms …
intelligence (AI), primarily in medical imaging. This article provides basic definitions of terms …
Convolutional neural networks for radiologic images: a radiologist's guide
S Soffer, A Ben-Cohen, O Shimon, MM Amitai… - Radiology, 2019 - pubs.rsna.org
Deep learning has rapidly advanced in various fields within the past few years and has
recently gained particular attention in the radiology community. This article provides an …
recently gained particular attention in the radiology community. This article provides an …
Artificial intelligence as a medical device in radiology: ethical and regulatory issues in Europe and the United States
F Pesapane, C Volonté, M Codari, F Sardanelli - Insights into imaging, 2018 - Springer
Worldwide interest in artificial intelligence (AI) applications is growing rapidly. In medicine,
devices based on machine/deep learning have proliferated, especially for image analysis …
devices based on machine/deep learning have proliferated, especially for image analysis …
Machine learning techniques for personalised medicine approaches in immune-mediated chronic inflammatory diseases: applications and challenges
In the past decade, the emergence of machine learning (ML) applications has led to
significant advances towards implementation of personalised medicine approaches for …
significant advances towards implementation of personalised medicine approaches for …
A narrative review on current imaging applications of artificial intelligence and radiomics in oncology: Focus on the three most common cancers
The use of artificial intelligence (AI) and radiomics in the healthcare setting to advance
disease diagnosis and management and facilitate the creation of new therapeutics is …
disease diagnosis and management and facilitate the creation of new therapeutics is …
Interpretation of radiomics features–A pictorial review
AA Ardakani, NJ Bureau, EJ Ciaccio… - Computer methods and …, 2022 - Elsevier
Radiomics is a newcomer field that has opened new windows for precision medicine. It is
related to extraction of a large number of quantitative features from medical images, which …
related to extraction of a large number of quantitative features from medical images, which …
Comparison of handcrafted features and convolutional neural networks for liver MR image adequacy assessment
We propose a random forest classifier for identifying adequacy of liver MR images using
handcrafted (HC) features and deep convolutional neural networks (CNNs), and analyze the …
handcrafted (HC) features and deep convolutional neural networks (CNNs), and analyze the …
Artificial intelligence in diagnostic imaging: impact on the radiography profession
The arrival of artificially intelligent systems into the domain of medical imaging has focused
attention and sparked much debate on the role and responsibilities of the radiologist …
attention and sparked much debate on the role and responsibilities of the radiologist …
Artificial intelligence, machine learning and deep learning: definitions and differences
D Jakhar, I Kaur - Clinical and experimental dermatology, 2020 - academic.oup.com
1 Hadshiew I, Foitzik K, Arck P, Paus R. Burden of hair loss: stress and the underestimated
psychosocial impact of telogen effluvium and androgenetic alopecia. J Invest Dermatol …
psychosocial impact of telogen effluvium and androgenetic alopecia. J Invest Dermatol …
Deep learning in generating radiology reports: A survey
Substantial progress has been made towards implementing automated radiology reporting
models based on deep learning (DL). This is due to the introduction of large medical …
models based on deep learning (DL). This is due to the introduction of large medical …