Search Tag: Artificial Intelligence
2019 08 Jan
In a new study, a team of researchers from the Massachusetts General Hospital (MGH) Department of Radiology created an artificial intelligence (AI) powered system that successfully detects acute intracranial haemorrhage (ICH) and also categorises five ICH subtypes from unenhanced head computed-tomography scans (CT). In the report published online...Read more
2018 18 Dec
Researchers combine mammography with AI to determine the biological composition of a tumor's tissue, developing a new method that may help reduce the number of unnecessary breast biopsies, according to a new study published in the journal Radiological Society of North America . Research has shown that more than 10 percent of women are called...Read more
2018 04 Dec
In what is the largest public release of raw data to this day, the NYU School of Medicine’s Department of Radiology and Facebook join forces on a collaborative research project that will share open source tools to propel the development of AI systems that may produce 10 times faster MRI scans. More than 1.5 million anonymised MR images of the knee,...Read more
2018 26 Nov
The Chief Information Officer of Affidea – a leading pan-European provider of advanced diagnostic imaging, outpatient and cancer services – has told an audience of leading private healthcare companies that artificial intelligence (AI) will revolutionise the way clinicians interact with patients across the continent. Speaking to a distinguished...Read more
2018 31 Oct
Artificial intelligence (AI) is increasingly being used to improve patient care. Radiology professionals can play an important role in promoting an AI ecosystem for radiology by delineating AI use cases, which can assist developers in creating algorithms that will be useful and safe in clinical practice, according to Bibb Allen, MD, chief medical...Read more
2018 13 Sep
Artificial intelligence-based techniques are helping researchers at the University of Adelaide’s Australian Institute for Machine Learning (AIML) to develop a fully-automated medical image analysis program for detecting breast tumours. In conjunction with an MRI scan, this autonomous AI program employs the traversal movement and style of a...Read more
2018 25 Jul
An increasing number of research studies report important benefits from use of artificial intelligence technologies (e.g., face recognition, voice control, drone for transporting lab samples). It is safe to assume AI is coming to radiology and healthcare, says Kurt Schoppe, MD, who is affiliated with Radiology Associates of North Texas. "We...Read more
2018 04 Jul
In his book “Hit Refresh,” Satya Nadella, CEO of Microsoft, Inc., reveals that new challenges in the tech world make it necessary for the company to rediscover its soul – what made it unique. He posits that artificial intelligence (AI) is the tool that will help Microsoft transform to meet these challenges. Radiology is facing similar crossroads...Read more
2018 12 Jun
Humanizing radiology should be not a fashion but a way to rethink the profession of the radiologist instead. It represents not only a challenge but also an opportunity to redefine the role of the diagnostic radiologist as a physician primarily in the continuum of caring for patients. From my point of view, there are great reasons to humanize...Read more
2018 06 Jun
Use of artificial intelligence (AI)-based techniques continues to expand in radiology and other areas of medicine. In fact, the American College of Radiology (ACR) is collaborating with the Medical Image Computing and Computer Assistance Intervention (MICCAI) Society to develop AI algorithms to better meet the clinical needs of radiologists....Read more
2018 29 May
The U.S. National Institute of Standards and Technology (NIST) recently hosted a two-day workshop that gathered experts from the medical imaging and artificial intelligence communities. The objective was to develop standards for a new system that is envisioned to serve as a “diagnostic cockpit”, providing clinicians with data needed to diagnose...Read more
2018 22 May
Artificial intelligence, combined with supercomputing power, is increasingly impacting many areas in the practice of medicine. In particular, "the recent rapid advances in computer interpretation of images suggest that radiology will be affected sooner than most," says an article in press in the Journal of the American College of Radiology....Read more
2018 10 May
EnvoyAI today announced a new integration with Insignia Medical Systems’ InSight PACS to provide AI-enhanced imaging workflows to customers. For initial launch in the UK, this integration provides best-of-breed, curated AI content available on the EnvoyAI platform within the PACS environment at multiple integration points. These include AI results...Read more
2018 08 May
Artificial intelligence (AI) and deep learning have been met with great interest by the medical community. Particularly in the field of radiology, however, the arrival of AI has been met with responses ranging from cautious scepticism to outright fear and hostility, notes an Opinion article in the Journal of the American College of Radiology. "Such...Read more
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
2018 27 Mar
Researchers have developed a new artificial intelligence-based technique that enables clinicians to acquire high-quality images from limited data, thus reducing radiation doses for CT and PET and shortening scan times for MRI. This new technique called AUTOMAP (automated transform by manifold approximation) is described in a paper published in the...Read more
2018 07 Mar
At last week's European Congress of Radiology in Vienna, taking value as his theme, Prof. Marc Dewey argued that radiologists should grasp the opportunities of new technology to drive their future. You’re either a Jedi (Star Wars fan) or a Trekkie (Star Trek fan), says Prof. Marc Dewey, Heisenberg Professor of Radiology of the German Research Foundation...Read more
2018 22 Feb
A new computational tool that uses artificial intelligence (AI) and machine learning (ML) can be used to screen patients with common retinal diseases such as macular degeneration and diabetic macular oedema. The researchers, from Shiley Eye Institute at UC San Diego Health and University of California San Diego School of Medicine, with colleagues in...Read more
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...Read more
2017 28 Nov
During an overcrowded exhilarating session on Monday 27th November at the RSNA 2017 Congress in Chicago, Dr. Hugo Aerts, from Harvard University in Cambridge, explained to delegates that artificial intelligence (AI) is indeed playing a pivotal role in the development of new imaging biomarkers for lung cancer. A key topic of interest...Read more
2017 09 Oct
A new report from medical imaging IT and cybersecurity company Sectra shows in what areas of the diagnostic process radiologists themselves see the added value of machine learning. The report clearly shows more opportunities than threats. Artificial Intelligence (AI) and machine learning are set to disrupt the practice of radiology. How and...Read more
2017 29 Aug
The integration of machine learning/artificial intelligence into routine clinical practice will significantly alter the current practice of radiology. But rather than being a significant threat to radiologists, AI technology will be a boon to radiologists by increasing their value, efficiency, accuracy, and personal satisfaction, says an article in...Read more
2017 04 Jul
The impact of artificial intelligence technology is becoming more widespread in healthcare. However, rather than feeling threatened by this emerging technology, the medical community should embrace its achievements, writes Dr. Bertalan Mesko (who has a PhD in genomics) in a blog post. Deep learning techniques, for example, are now being used to analyse...Read more
2017 06 Jun
Computers may soon be able to predict a patient's lifespan by looking at images of their organs. New research led by the Unviersity of Adelaide and published in the journal Scientific Reports uses artificial intelligence to analyse medical images of patients and predict which patients would die within five years with 69% accuracy. This is the first...Read more