Search Tag: AI
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 13 Dec
As we move toward an emphasis on precision medicine and population health management, we’ve come to understand the central role imaging can play – whether it’s accelerating time to treatment, treating at a lower cost or with higher diagnostic precision. However, today’s radiology departments face many hurdles with less resources and less time than...Read more
2018 11 Dec
Radiology is being transformed by the exponential growth of machine learning and continuously emerging technologies like deep learning, part of the artificial intelligence (AI) revolution in the imaging field. Medical imaging and operations applications are transformed as new methods and algorithms are introduced into radiology’s daily practice. ...Read more
2018 04 Dec
Radiology and medical imaging is continuously experiencing rapid enhancements including quality of patient care as a result of uncovering new aspects of the vast potential of artificial intelligence implementation in clinical practice. As more hospital medical imaging equipment connects to the internet, cyberattacks and malicious software vulnerabilities...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 02 Dec
The tight roped tug of war concerning artificial intelligence and exponential technologies like deep learning and machine learning has been pulling at radiology for years. There are those fearing the dark side- new technologies as the ‘big bad’ machines that will rise up and exterminate the radiologist, the shining happy radiologists that see unicorns...Read more
2018 27 Nov
In a study presented at the annual meeting of the Radiological Society of North America (RSNA) in Chicago, researchers using artificial intelligence have developed a deep learning algorithm that may lead to the reduction of the gadolinium dose used in contrast material for MRI exams. “There is concrete evidence that gadolinium deposits in the brain...Read more
2018 22 Sep
Artificial intelligence (AI) is the talk of the radiology world. While AI is unlikely to replace the radiologist, better adaptation in healthcare to new technology is needed. In this interview with HealthManagement, Paul Chang, Professor of Radiology at the University of Chicago, explains the importance of human-machine cybernetic harmony....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 20 Jun
There are tremendous opportunities for artificial intelligence (AI) to deliver advances in medical diagnosis and treatment. An inevitable development that is already under way is the distribution of “intelligent instruments” into the healthcare system, according to an article in press in the Journal of the American College of Radiology. As...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 30 May
Artificial intelligence platform provider, EnvoyAI , recently completed their first successful customer installation at Wake Radiology in Raleigh, North Carolina. Wake Radiology is using the platform to provide physicians access to EnvoyAI’s growing marketplace of over 53 Artificial Intelligence (AI) engines that may be applied to their medical...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 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 27 Feb
A new deep-learning algorithm can be used to identify and segment tumours in medical images. Developed by AI researchers in Canada, the software makes it possible to automatically analyse several medical imaging modalities, according to a study published in the journal Medical Image Analysis. “The algorithm makes it possible to automate pre-processing...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 22 Dec
Machine learning techniques such as support vector machine (SVM) have been applied recently in order to accurately classify individuals with neuropsychiatric disorders such as Alzheimer's disease (AD) based on neuroimaging data. However, the multivariate nature of the SVM approach often precludes the identification of the brain regions that contribute...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
2016 20 Dec
A provocative Viewpoint article in JAMA suggests merging the roles of pathologist and radiologist to become "information specialists", harnessing the power of artificial intelligence. A unified discipline, information specialists would best be able to captain artificial intelligence and guide medical information to improve patient care, according to...Read more