AI can speed up whole-body diffusion-weighted MRI
December 12, 2019 -- An artificial intelligence (AI) algorithm was able to produce high-quality whole-body diffusion-weighted MRI (WBDWI) in a fraction of the time traditionally needed to perform these exams, potentially enabling wider use of clinical WBDWI, U.K. researchers reported at RSNA 2019.  Discuss
Sosna: Love your profession, be more visible in era of AI
December 11, 2019 -- Imaging specialists need to love their profession more and promote visibility and understanding of radiology's role so the importance of the discipline is appreciated fully by medical colleagues and patients in the era of artificial intelligence (AI). That's the view of Prof. Jacob Sosna, president of the Israel Radiological Association.  Discuss
AI assists detection of vertebral fractures on CT
December 6, 2019 -- Dutch artificial intelligence (AI) researchers have trained a 3D convolutional neural network to localize and grade vertebral fractures in a manner that's consistent with clinical practice. They presented their findings at the 2019 RSNA meeting in Chicago.  Discuss
What's AI's clinical role in breast screening?
December 2, 2019 -- The critically important task of showing how artificial intelligence (AI) can enhance patient management surfaced on the first day of RSNA 2019, when the latest clinical evidence of AI's potential contribution in breast screening came under intense scrutiny.  Discuss
AI tool needs more diverse skin types in datasets
November 29, 2019 -- A dermatology algorithm powered by artificial intelligence (AI) that can identify a range of skin conditions doesn't work effectively on black skin, according to researchers in Uganda and Sweden. The study highlights the potential risks of AI-based healthcare and the need to ensure diversity in datasets used to train algorithms.  Discuss
SERAM president gazes into radiology's future
November 28, 2019 -- The radiologist as an "information manager" will coexist with the radiologist as a "carer of the patient" during the era of artificial intelligence. That's the prediction of Dr. Pablo Valdés Solís, president of the Spanish Society of Medical Radiology (SERAM), who is concerned about possible turf wars and continued economic problems.  Discuss
10 factors to consider when selecting AI vendors
November 27, 2019 -- More than 150 independent software companies are developing artificial intelligence (AI) solutions for medical imaging, so sorting through the options is a challenge. Market analyst Sanjay M. Parekh, PhD, lists 10 factors radiologists should consider -- and questions they should ask -- before partnering with vendors.  Discuss
Antoch spells out how radiology can thrive beyond 2020
November 20, 2019 -- Radiologists can only ensure their future success if they work together, learn more about artificial intelligence (AI) and radiomics, and obtain reliable data to validate, standardize, and certify potential AI applications. That's the view of Prof. Gerald Antoch, president of the German Röntgen Society.  Discuss
Medical students, radiologists may view AI differently
November 15, 2019 -- Radiologists are less afraid of artificial intelligence (AI) than medical students, who may avoid choosing radiology due to their pessimistic view of the technology's effects, according to the findings of a Swiss survey published online on 9 November in the European Journal of Radiology.  Discuss
Deep learning advances in 3D quantification of body composition
November 11, 2019 -- Accurate fully automatic segmentation of subcutaneous fat, visceral fat, and psoas muscle from abdominal CT is feasible without human input. That's the main finding of new artificial intelligence research conducted at the Utrecht University Medical Center in the Netherlands.  Discuss