Search Tag: deep learning

IMAGING Management

AI to enhance, not replace, radiologists' jobs

2018 02 Apr

Rapid advances in artificial intelligence, including deep learning, are a major factor behind improvements in medical image analysis. Some deep learning models have shown their ability to identify pathologies in radiological images such as bone fractures and potentially cancerous lesions, in some cases more reliably than an average radiologist.With... Read more

Health Management

Artificial intelligence and radiology: human-machine collaboration is key

2018 20 Feb

Human-machine collaboration is key.Should radiologists be buying into the hype about artificial intelligence? HealthManagement spoke to Prof.Paul Chang about AI, deep learning and the advantages of intellectual arbitrage.How are artificial intelligence (AI) and deep learning shaping radiology?In healthcare in general, and radiology in particular, we... Read more

Health Management

The challenges and opportunities of tomorrow’s radiologist

2018 25 Jan

Radiology facing its future head on. An overview of how smart tools such as artificial intelligence should perhaps not be feared, but rather accepted and embraced.The future of radiology is indeed a hot topic in healthcare today. The role that smart technologies such as deep learning (DL) and artificial intelligence (AI) play within radiology continues... Read more

Health Management

Utility of artificial intelligence in cardiology

2018 25 Jan

A step forward for daily practice.Artificial Intelligence (AI) tools are proving their utility in the evolving field of cardiology. However, it's necessary that cardiologists understand their full potential in order to use them efficiently in the near future.Decision making in medicineNowadays, the decision-making process in medicine is a complex task... Read more

IMAGING Management

Deep Learning to redefine the role of radiology: Dr. Paul Chang reports during RSNA 2017 Congress

2017 28 Nov

The role of deep learning (DL) and artificial intelligence (AI) within radiology continues to spark both fear and interest, yet the reality is that they are both potentially very useful technologies that will add value to the field in many ways.   During a session at the RSNA 2017 Congress in Chicago, USA, Dr. Paul Chang, MD, of the University of... Read more