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Mashup Score: 1
Over the last decades, ultrasound (US) has undergone a dramatic evolution in the field of inflammatory joint diseases. Rheumatoid arthritis (RA) is probably the pathology that has most benefited from this development, both in terms of early diagnosis and monitoring of disease activity. The RA-induced morpho-structural changes can be effectively detected and measured by US, and US findings…
Source: La radiologia medicaCategories: Latest Headlines, RheumatologyTweet
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Mashup Score: 1
Artificial intelligence (AI) is a branch of Informatics that uses algorithms to tirelessly process data, understand its meaning and provide the desired outcome, continuously redefining its logic. AI was mainly introduced via artificial neural networks, developed in the early 1950s, and with its evolution into “computational learning models.” Machine Learning analyzes and extracts features in…
Source: La radiologia medicaCategories: Latest Headlines, RadiologyTweet-
#AI in Radiology article alert: Interventional Radiology ex-machina: impact of Artificial Intelligence on practice (Radiol Med) https://t.co/KGjqVJD7IN #ML #MachineLearning https://t.co/YliMwrHwdG
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Mashup Score: 3Artificial intelligence in cardiac radiology - 3 year(s) ago
Artificial intelligence (AI) is entering the clinical arena, and in the early stage, its implementation will be focused on the automatization tasks, improving diagnostic accuracy and reducing reading time. Many studies investigate the potential role of AI to support cardiac radiologist in their day-to-day tasks, assisting in segmentation, quantification, and reporting tasks. In addition, AI…
Source: La radiologia medicaCategories: Latest Headlines, RadiologyTweet-
JOURNAL WATCH -- #AI in Radiology -- Artificial intelligence in cardiac radiology (Radiol Med) https://t.co/NCnWlKl4mx #ML #MachineLearning https://t.co/pVvZ8kCAh1
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Mashup Score: 1Artificial intelligence in cardiac radiology - 3 year(s) ago
Artificial intelligence (AI) is entering the clinical arena, and in the early stage, its implementation will be focused on the automatization tasks, improving diagnostic accuracy and reducing reading time. Many studies investigate the potential role of AI to support cardiac radiologist in their day-to-day tasks, assisting in segmentation, quantification, and reporting tasks. In addition, AI…
Source: La radiologia medicaCategories: Latest Headlines, RadiologyTweet-
JOURNAL WATCH -- #AI in Radiology -- Artificial intelligence in cardiac radiology (Radiol Med) https://t.co/NCnWlKl4mx #ML #MachineLearning https://t.co/i3aU9C4V0O
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Mashup Score: 1Artificial intelligence in cardiac radiology - 4 year(s) ago
Artificial intelligence (AI) is entering the clinical arena, and in the early stage, its implementation will be focused on the automatization tasks, improving diagnostic accuracy and reducing reading time. Many studies investigate the potential role of AI to support cardiac radiologist in their day-to-day tasks, assisting in segmentation, quantification, and reporting tasks. In addition, AI…
Source: La radiologia medicaCategories: Latest Headlines, RadiologyTweet-
Journal Watch: Artificial intelligence in cardiac radiology (Radiol Med) https://t.co/NCnWlKCFL7 #radiology #AI https://t.co/olRjd86Zix
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Mashup Score: 3Artificial intelligence in cardiac radiology - 4 year(s) ago
Artificial intelligence (AI) is entering the clinical arena, and in the early stage, its implementation will be focused on the automatization tasks, improving diagnostic accuracy and reducing reading time. Many studies investigate the potential role of AI to support cardiac radiologist in their day-to-day tasks, assisting in segmentation, quantification, and reporting tasks. In addition, AI…
Source: La radiologia medicaCategories: Latest Headlines, RadiologyTweet-
#AI in Radiology article alert: Artificial intelligence in cardiac radiology (Radiol Med) https://t.co/NCnWlKl4mx #ML #MachineLearning https://t.co/Iy3RSXDaLN
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Mashup Score: 1Noninvasive Fuhrman grading of clear cell renal cell carcinoma using computed tomography radiomic features and machine learning - 4 year(s) ago
To identify optimal classification methods for computed tomography (CT) radiomics-based preoperative prediction of clear cell renal cell carcinoma (ccRCC) grade. Seventy-one ccRCC patients (31 low grade and 40 high grade) were included in this study. Tumors were manually segmented on CT images followed by the application of three image preprocessing techniques (Laplacian of Gaussian, wavelet…
Source: La radiologia medicaCategories: Latest Headlines, RadiologyTweet-
#AI in Radiology article alert: Noninvasive Fuhrman grading of clear cell renal cell carcinoma using computed tomography radiomic features and machine learning (Radiol Med) https://t.co/ORe2JTh1na #ML #MachineLearning https://t.co/972YIihpIb
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Mashup Score: 6Noninvasive Fuhrman grading of clear cell renal cell carcinoma using computed tomography radiomic features and machine learning - 4 year(s) ago
To identify optimal classification methods for computed tomography (CT) radiomics-based preoperative prediction of clear cell renal cell carcinoma (ccRCC) grade. Seventy-one ccRCC patients (31 low grade and 40 high grade) were included in this study. Tumors were manually segmented on CT images followed by the application of three image preprocessing techniques (Laplacian of Gaussian, wavelet…
Source: La radiologia medicaCategories: Latest Headlines, RadiologyTweet-
#AI in Radiology article alert: Noninvasive Fuhrman grading of clear cell renal cell carcinoma using computed tomography radiomic features and machine learning (Radiol Med) https://t.co/ORe2JTh1na #ML #MachineLearning https://t.co/kbA9ldfZQh
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Mashup Score: 3Noninvasive Fuhrman grading of clear cell renal cell carcinoma using computed tomography radiomic features and machine learning - 4 year(s) ago
To identify optimal classification methods for computed tomography (CT) radiomics-based preoperative prediction of clear cell renal cell carcinoma (ccRCC) grade. Seventy-one ccRCC patients (31 low grade and 40 high grade) were included in this study. Tumors were manually segmented on CT images followed by the application of three image preprocessing techniques (Laplacian of Gaussian, wavelet…
Source: La radiologia medicaCategories: Latest Headlines, RadiologyTweet-
Check out a recent Radiol Med article on radiology #AI: Noninvasive Fuhrman grading of clear cell renal cell carcinoma using computed tomography radiomic features and machine learning https://t.co/ORe2JTh1na #ArtificialIntelligence https://t.co/l6cMCwUSCv
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Mashup Score: 3Noninvasive Fuhrman grading of clear cell renal cell carcinoma using computed tomography radiomic features and machine learning - 4 year(s) ago
To identify optimal classification methods for computed tomography (CT) radiomics-based preoperative prediction of clear cell renal cell carcinoma (ccRCC) grade. Seventy-one ccRCC patients (31 low grade and 40 high grade) were included in this study. Tumors were manually segmented on CT images followed by the application of three image preprocessing techniques (Laplacian of Gaussian, wavelet…
Source: La radiologia medicaCategories: Latest Headlines, RadiologyTweet-
JOURNAL WATCH -- #AI in Radiology -- Noninvasive Fuhrman grading of clear cell renal cell carcinoma using computed tomography radiomic features and machine learning (Radiol Med) https://t.co/ORe2JTh1na #ML #MachineLearning https://t.co/T0AF0T4GxE
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RT @Rheumatology: Rheumatoid arthritis. Active and erosive synovitis of a metacarpophalangeal joint. https://t.co/DWUstoCmLH https://t.co/…