Imagine a first responder answering the call to a natural disaster, a house fire, or an active shooter incident where there may be multiple injuries and unknown casualties. The information the responder needs to fulfill the mission is immeasurable. When you also consider the volume of data they receive from other responders, dispatch, command centers, victims, and onlookers while receiving and…
A pathology test that applies artificial intelligence (AI) to characterize tissue samples can accurately predict clinically significant prostate cancer disease progression following surgery, according to a study conducted at the Icahn School of Medicine at Mount Sinai.
Machine learning is increasingly helping radiologists to acquire faster and better quality images, and measure heart function. This is just the tip of the iceberg; artificial intelligence has far more to bring to the heart, explained Daniel Rueckert, Head of the Department of Computing at Imperial College London, during CMR 2018. Machine learning (ML) is becoming a valuable assistant for…
Neuroscientist Lynda Chin MD, Founder and CEO of Real-world Education Detection and Intervention, has little doubt: ‘Artificial intelligence to the rescue,’ she proclaimed in her keynote address at the Artificial Intelligence and Machine Learning Summit, held in Las Vegas this spring. ‘We need a system and analytics to interpret data!’ she urged, despite being well aware that building a…
Using a new approach called 'reinforced learning', researchers have taught an artificial intelligence (AI) to responsibly choose the right amount of chemo- and radiotherapy for glioblastoma patients. The technique, which is insprired by behavioural psychology, has given the AI the ability to master the tightrope walk between effective tumor shrinkage and the medications' severe side effects.
A multidisciplinary team of researchers from the National University of Singapore (NUS) has developed an artificial intelligence (AI) technology platform that could potentially change the way drug combinations are being designed, hence enabling doctors to determine the most effective drug combination for a patient quickly. Applying the platform towards drug resistant multiple myeloma, a type of…
Machine learning is adding a new dimension to pathology and already outperforming experts during some tasks, according to several speakers at the 14th European Congress on Digital Pathology (ECDP) who revealed up-to-date developments. However, whilst AI is set to herald a new future for digital pathology, Johan Lundin, associated professor for biomedical informatics and research director at the…
The digital revolution in healthcare in the United States is marching steadily forward, spurred by federal government regulations and financial incentives, by technological innovations, and by the necessities of increasing healthcare treatment efficiency, of lowering its cost and economic impact, and of elevating communications among providers, patients and payers to the norms of the 21st…
Artificial Intelligence (AI) and machine learning are poised to transform healthcare, potentially freeing practitioners across many disciplines from routine tasks and saving lives through efficient early detection. Offering insight into the health of both individuals and populations, these ’deep learning‘ algorithms have the potential to process vast amounts of data and identify warning…
Researchers have shown for the first time that a form of artificial intelligence or machine learning known as a deep learning convolutional neural network (CNN) is better than experienced dermatologists at detecting skin cancer. In a study published in the leading cancer journal Annals of Oncology, researchers in Germany, the USA and France trained a CNN to identify skin cancer by showing it more…
Tracy Accardi, Hologic’s Vice President (Global R&D), spoke of the importance of innovation, tomosynthesis, artificial intelligence/deep learning and open dialogue with the radiology community. Hologic addresses a broad spectrum of gynaecological, perinatal, aesthetic, skeletal and breast women’s health issues. To enhance this approach, Accardi, explained the importance of working closely…
AI-based applications will replace radiologists in some areas, the physicist Bram van Ginneken predicts. ‘The profession of radiologist will change profoundly,’ predicts Gram van Ginneken, Professor of Medical Image Analysis at Radboud University Medical Centre. The cause is automatic image analysis by computers (first published in a paper in 1963) and deep learning.
At the 28th European Congress of Clinical Microbiology and Infectious Diseases (ECCMID 2018), Fast Track Diagnostics, a Siemens Healthineers company, launches a new molecular thermocycler, the Fast Track cycler, and the complementary new FastFinder software. The Fast Track cycler is a compact platform that enables laboratories of all sizes to implement molecular testing with simplicity and speed…
At the 2018 HIMSS Annual Conference & Exhibition, Siemens Healthineers showcases the Proactive Follow-up solution as part of its Siemens Healthineers Digital Ecosystem. The application prompts the appropriate physician to initiate a medically necessary response based on care gaps identified. For example, an incidental finding, an abnormality that appears in a radiology report intended for a…
Some time in the distant future artificial intelligence (AI) systems may displace radiologists and many other medical specialists. However, in a far more realistic future AI tools will assist radiologists by performing very complex functions with medical imaging data that are impossible or unfeasible today, according to a presentation at the RSNA/AAPM Symposium during the Radiological Society of…
Artificial intelligence (AI) technology and its role and future impact on the radiology profession was the dominant theme at RSNA 2017, whether in scientific presentations or in the technical exhibitions. Keith J Dreyer DO PhD addressed this subject head-on in his presentation ‘Healthcare AI – Radiology’s Next Frontier.’ Dr Keith Dreyer, vice chairman of radiology informatics and chief…
In the next five to 10 years, artificial intelligence is likely to fundamentally transform diagnostic imaging. This will by no means replace radiologists, but rather help to meet the rising demand for imaging examinations, prevent diagnostic errors, and enable sustained productivity increases.
The New Horizons Lecture at the RSNA annual meeting is a keynote address that looks to the future, and the inventor of a major innovation in magnetic resonance imaging (MRI) technology, Daniel K Sodickson MD PhD, did just that. His lecture entitled ‘A New Light: The Birth and Rebirth of Imaging’ looked back at how MRI has evolved and forward at what it will become.
Google AI has made a breakthrough: successfully predicting cardiovascular problems such as heart attacks and strokes simply from images of the retina, with no blood draws or other tests necessary. This is a big step forward scientifically, Google AI officials said, because it is not imitating an existing diagnostic but rather using machine learning to uncover a surprising new way to predict these…
Researchers used machine learning techniques, including natural language processing algorithms, to identify clinical concepts in radiologist reports for CT scans, according to a study conducted at the Icahn School of Medicine at Mount Sinai and published in the journal Radiology. The technology is an important first step in the development of artificial intelligence that could interpret scans and…
Machine learning is playing an increasing role in computer-aided diagnosis, and Big Data is beginning to penetrate oncological imaging. However, some time may pass before it truly impacts on clinical practice, according to leading UK-based German researcher Professor Julia Schnabel, who spoke during the last ESMRMB annual meeting. Machine learning techniques are starting to reach levels of human…
Communicating with patients can be tough. Reminder pamphlets often go straight into the rubbish and emails are deleted before they are read. But one doctor found that chatbots could be a key to patient outreach. Brett Swenson, MD, is no stranger to digital health. He runs a concierge practice in Arizona and started working with EMRs about 20 years ago when they were first introduced. He said he…
The tech world descended upon Las Vegas this week for the annual Consumer Electronics Show, and plenty of health IT’s biggest players were in attendance. While much of the discussion was on consumer-friendly health tools and novel digital interventions, there were still a handful of products and discussions between executives and entrepreneurs focused on healthcare’s largest roadblocks —…
3-D visualisation, augmented reality, automated tumour classification – today, the Republic of China produces cutting-edge medical technology and it’s a long time since ‘Made in Taiwan’ stood for inferior, copied products. Over recent years, this island state has successfully morphed into a productive and, above all, innovative manufacturer of medical technology available on the world…
Automation might be the solution for many of the challenges radiologists and clinicians face today. Toshiba Medical, a Canon Group, is currently pushing the boundaries of what automation can accomplish and presenting their project in progress at this year's RSNA. Overwhelming volume of clinical data every day, limited access to relevant clinical information, missed findings and lack of…