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Electronic medical records may contribute positively to the education of nephrology fellows

Nephrology Fellows Report Mixed Effects of EMR on Education, Time

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51 percent of nephrology fellows note positive contribution, but time demands have negative impact
A new artificial intelligence algorithm can predict risk for age-related macular degeneration

AI Model Predicts Risk for Age-Related Macular Degeneration

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Algorithm based on retinal photographs plus lifestyle (diet and smoking) and demographic data
Data from patients with coronavirus disease 2019 can be used to develop a model that can predict who will develop acute respiratory distress syndrome

Artificial Intelligence Framework May Predict ARDS in COVID-19

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Increases in elevated ALT, myalgias, hemoglobin predictive of acute respiratory distress syndrome
In the field of medical imaging

Prospective, Randomized Studies of AI Lacking in Medical Imaging

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Many studies claiming artificial intelligence as good as humans are of poor quality, with high risk for bias
Reduced myocardial blood flow and myocardial perfusion reserve are prognostic for patients with coronary artery disease

AI Imaging Analysis Prognostic in Coronary Artery Disease

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Myocardial blood flow, myocardial perfusion reserve can predict death, major adverse CV events
An application has been developed to predict clinical malignancy and survival outcomes for meningioma

Smartphone, Web App May Help Predict Prognosis for Meningioma

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Models could predict meaningful individual-specific clinical outcome variables for survival, malignancy
An artificial intelligence system can be used to detect and grade prostate cancer in prostate needle biopsy samples

AI System Can Detect, Grade Cancer in Prostate Needle Biopsy

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AUCs were 0.997, 0.986 for distinguishing between benign, malignant biopsy cores, respectively
A novel workflow that combines advanced optical imaging with an artificial intelligence algorithm may accurately diagnose brain tumors in real time in the operating room

Laser-Based Imaging + AI May Diagnose Brain Tumors in OR

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Accurate diagnosis in <150 seconds in the operating room could improve decision-making during surgery
A machine learning system can generate clinically valid alerts for medication errors that might be missed with existing clinical decision support systems

Machine Learning System Makes More Alerts for Med Errors

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68.2 percent of MedAware alerts would not have been generated with clinical decision support system
Deep learning models can be used for interpretation of chest radiographs

Deep Learning Models Can Help Interpret Chest Radiographs

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Models developed to detect pneumothorax, opacity, nodule or mass, fracture on frontal chest radiographs