Artificial Intelligence | October 2018

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Monday, October 15, 2018

Editor's Choice: Artificial Intelligence

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AI interprets chest x-rays, but not well enough to replace radiologists

An artificial intelligence (AI) algorithm can effectively help radiologists interpret chest x-rays, according to new research published in PLOS ONE. However, limitations persist that make it seem unlikely such an algorithm could actually replace a radiologist altogether.

AI interprets chest x-rays, but not well enough to replace radiologists

AI distinguishes false-positive mammograms from malignant, negative mammograms

Artificial intelligence (AI) can help radiologists distinguish false-positive mammograms from malignant and negative mammograms, according to new research published in Clinical Cancer Research.

AI distinguishes false-positive mammograms from malignant, negative mammograms

Artificial intelligence (AI) can help radiologists distinguish false-positive mammograms from malignant and negative mammograms, according to new research published in Clinical Cancer Research.

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AI determines difference between lung cancers with 97% accuracy

Using artificial intelligence, researchers at the NYU School of Medicine can correctly distinguish between two different types of lung tumors—adenocarcinoma and squamous cell carcinoma—with 97 percent accuracy.

Conventional imaging did not detect the abnormalities, which MRI scans identified up to one year after infection.

AI determines difference between lung cancers with 97% accuracy

Deep learning algorithm detects malignant pulmonary nodules better than radiologists

Researchers have developed a deep learning-based automatic detection algorithm (DLAD) that can detect malignant pulmonary nodules on chest x-rays better than physicians, sharing their findings in a new study published by Radiology.

Deep learning algorithm detects malignant pulmonary nodules better than radiologists

AI startup trains algorithm with 1.2M chest x-rays, confirms its accuracy

Qure.ai, a San Mateo, California-based healthcare startup focused on artificial intelligence (AI), has released the results of a thorough validation study confirming the accuracy of its deep learning chest x-ray algorithm. The study involved 1.2 million x-rays and their corresponding radiology reports.

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