Humans strike back: Radiologists outperform AI in detecting lung diseases from chest X-rays
From Radiological Society of North America 28/09/23 In a study of more than 2,000 chest X-rays, radiologists outperformed AI in accurately identifying the presence and absence of three common lung diseases, according to a study published in Radiology, a journal of the Radiological Society of North America (RSNA). “Chest radiography is a common diagnostic tool, […]
AI performs comparably to human readers of breast cancer mammograms
From Radiological Society of North America 07/09/23 Using a standardized assessment, researchers in the UK compared the performance of a commercially available artificial intelligence (AI) algorithm with human readers of screening mammograms. Results of their findings were published in Radiology, a journal of the Radiological Society of North America (RSNA). Mammographic screening does not detect […]
Combining AI models improves breast cancer risk assessment
From Radiological Society of North America 30/08/23 Combining artificial intelligence (AI) systems for short- and long-term breast cancer risk results in an improved cancer risk assessment, according to a study published in Radiology, a journal of the Radiological Society of North America (RSNA). Most breast cancer screening programs take a one-size-fits-all approach and follow the same […]