Can artificial intelligence (AI) and machine learning (ML) algorithms be trained to accurately detect and quantify cor?
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Artificial intelligence (AI) and machine learning (ML) algorithms have been successfully trained to accurately detect and quantify various medical conditions and diseases. For example, in the context of diabetic macular edema (DME), an AI algorithm was validated to identify and quantify major optical coherence tomography (OCT) biomarkers with high accuracy and reproducibility . In another study, an AI-based tool using ML algorithms was developed to stratify patients with chronic hepatitis C (CHC) for a higher risk of colorectal cancer (CRC) or adenomas, providing accurate predictions and aiding in early referral for screening colonoscopy . Additionally, AI algorithms have been used to improve the accuracy of automated measurements of right ventricular ejection fraction (RVEF) from cardiovascular magnetic resonance (CMR) images, particularly in challenging cases . These findings demonstrate the potential of AI and ML algorithms in accurately detecting and quantifying various medical conditions, including colorectal cancer, diabetic macular edema, and right ventricular function.
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| Papers (5) | Insight |
|---|---|
| The provided paper does not mention anything about detecting and quantifying cor. | |
| The provided paper is about using machine learning algorithms to detect and predict diabetes. There is no information in the paper about using AI and ML algorithms to detect and quantify cor. | |
| The provided paper is about the assessment of right ventricular size and function using artificial intelligence. It does not mention the detection and quantification of cor. | |
| The provided paper validates an AI algorithm for identifying and quantifying major optical coherence tomography (OCT) biomarkers in diabetic macular edema (DME), but it does not mention the detection and quantification of cor. | |
| The paper discusses the development of an AI-based tool using ML algorithms to predict the probability and number of adenomas detected on colonoscopy in patients with chronic hepatitis C. It does not mention the detection or quantification of cor. |
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