Spanish healthcare AI company QUIBIM announced that its AI-powered Chest X-Ray Classification tool has received CE certification. The company already obtained the class IIa CE mark earlier this year for the imaging biomarker analysis algorithms, the zero footprint DICOM viewer and the platform within the QUIBIM Precision platform, becoming the first Spanish firm to ever receive the clearance.
Artificial intelligence clinics and rehab bikes, exoskeletons and stylish protections masks – healthcare in Taiwan has many faces and facets as the international medical & healthcare exhibition Medical Taiwan in Taipei will show from 27 to 30 June 2019. We visited participating companies and hospitals to give you a sneak preview of some of the highlights that might well create a buzz in…
Canon Medical has installed the Aquilion One Genesis, one of the first CT scanners with AI functionality in Europe, in Aalst’s General City Hospital, making it the first hospital in Belgium to boast AiCE technology. Canon Medical has named its AI application in the Aquilion One Genesis ‘AiCE’, which stands for ‘Advanced Intelligent Clear-IQ Engine’. AiCE is the first Deep Learning…
Digitalization offers great potential for hospitals: diseases can be detected earlier, internal processes more efficiently organized, health expenditure reduced and patients better cared for. Artificial intelligence, robotics, sensor technology, big data, additive manufacturing or augmented reality - the technologies for this have long been available.
Digital pathology, combined with the power of Artificial Intelligence (AI), is one of the most promising fields for the delivery of precision medicine. In the first keynote address for the 5th Digital Pathology & AI Congress (Europe) held in London last December, Professor of Pathology, Marilyn Bui, focused on how digital pathology is impacting on precision medicine. During her address,…
Digital pathology can gain huge benefits from rapid image search and the effective extraction of knowledge from large medical archives via artificial intelligence (AI). It facilitates identification of anatomical and pathological similarities, significantly enhances the clinical workflow, and ultimately paves the way for more informed diagnosis and better patient outcome. Effective archive…
The concept of artificial intelligence (AI) has been touted as an important aid for healthcare for at least adecade. However, despite years of research and major technical and scientific advances we are only at the beginning of its use in a medical environment. For AI to function correctly huge amounts of relevant data need to be accessible to its algorithms. France is conscious of being behind…
Radiologists have not ended talk about artificial intelligence and machine learning but, rather than fear for the future of their profession, they themselves must decide how that should be, an eminent expert Dr Woojin Kim warned ECR delegates in Vienna in March. Two years in discussion and the hype around artificial intelligence (AI) is far from fading. Interest has never been higher, and the…
Researchers at the University of North Carolina School of Medicine used MRI brain scans and machine learning techniques at birth to predict cognitive development at age 2 years with 95 percent accuracy. “This prediction could help identify children at risk for poor cognitive development shortly after birth with high accuracy,” said senior author John H. Gilmore, MD, Thad and Alice Eure…
Scientists put AI systems to the test und provide a glimpse into the diverse “intelligence” spectrum observed in current AI models.
AI has made an extraordinary qualitative jump, particularly in machine learning. This can help quantify imaging data to tremendously advance both pathology and radiology. At a recent meeting in Valencia, delegates glimpsed what quantitative tools can bring to medical imaging, as leading Spanish researcher Ángel Alberich-Bayarri from imaging biomarker company Quibim unveiled part of his work.
AI algorithms are making their way not just into diagnostic workstations, but will also in future be found in the diagnostic methods themselves. Prof. Mathias Goyen, Chief Medical Officer Europe at GE Healthcare, discusses AI algorithms in radiology. "According to a study by the consultancy firm Accenture, the estimated annual market volume for AI applications in healthcare in the USA will…
This is a 20th anniversary year for Fujifilm’s Synapse, the world’s first web- based PACS. Today, Synapse 3-D offers advanced 3-D rendering in the Synapse PACS Viewer to perform fast, accurate extractions, stenosis measurements, brain perfusion CT, MRI, and more, the company reports. The Fujifilm Healthcare IT platform includes a comprehensive medical informatics and enterprise-imaging…
Technological change is a major part of change management in radiology and it is inevitable. Artificial intelligence (AI) has slipped into every area of life including the hospital, and is already making decisions in radiology systems. The good news is that radiologists could win on two fronts, provided they play their cards well, a leading USA radiologist told delegates at a recent congress in…
Radiologist Alexis Kelekis, Associate Professor of Interventional and Musculoskeletal Radiology at Attikon University Hospital, Athens, speaks about his work and developments in merging scans and techniques to gain greater accuracy in diagnosis and planning. The benefits of fusion imaging are widely acknowledged. Favoured in clinical practice by radiologist Alexis Kelekis, he explained: ‘The…
New medical software which overlays tumour information from MRI scans onto ultrasound images is helping to improve detection of prostate cancer by guiding surgeons as they conduct biopsies. Developed at University College London (UCL), the software is deployed via a system called SmartTarget and embraces artificial intelligence (AI) to use both systems in tandem to enable surgeons to pick up…
Artificial intelligence (AI) continues to drive radiologists’ discussions. Among them, Associate Professor Georg Langs, head of the Computational Imaging Research Lab (CIR) at the University Clinic for Radiology and Nuclear Medicine at the Medical University of Vienna, believes: ‘The evaluation of patterns in data from imaging examinations and clinical information about patients using machine…
The topic of artificial intelligence (AI) was omnipresent at RSNA2018, the annual meeting of the Radiological Society of North America. From the opening presidential address, throughout scientific sessions and educational presentations, to the vendors’ technical exhibition, around 53,000 attendees learned about pioneering new products, research, plus challenges and opportunities to implement…
A new radiomics study could help unlock one of the more challenging issues facing thoracic radiologists. Distinguishing non-small cell lung cancer from benign nodules is a major challenge due to their similar appearance on CT images. Now, however, researchers from Case Western Reserve University in Cleveland, Ohio, have used radiomic features extracted from CT images to differentiate between…
The professionals we all rely on to keep us healthy, they rely on X-Ray imaging systems empowered by flat panel detectors and software solutions provided by Thales. Our solutions offer superior accuracy and advanced image processing to help image interpretation while decreasing radiation exposure. They also include a variety of innovative features that simplify the daily workflow of healthcare…
Cancer patients who undergo chemotherapy could soon benefit from a new AI that is able to identify and predict the development of different combinations of symptoms – helping to alleviate much of the distress caused by their occurrence and severity. In the first study of its kind, published by Nature Scientific Reports, researchers from the University of Surrey and the University of California…
Today the impressive development of drones by some people is happily regarded as the pinnacle of digitalisation in healthcare. Some groups are testing whether drones can quickly and safely deliver defibrillators to patients in need or whether they can transport laboratory samples or blood products. These developments catch lots of attention, but PD Dr Dominik Pförringer, trauma and orthopaedic…
Researchers have created a new machine learning software that can forecast the survival rates and response to treatments of patients with ovarian cancer. The artificial intelligence software, created by researchers at Imperial College London and the University of Melbourne, has been able to predict the prognosis of patients with ovarian cancer more accurately than current methods. It can also…
Currently many researchers and experts assume that the next great socio-economic revolution will include a completely new definition of health and how we define illnesses and therapies. “Our health system today can no longer be sustained in its existing form. It has become too expensive and too ineffective,” Professor Harald Schmidt, head of the Department of Pharmacology and Personalised…
Nuance Communications, Inc., at its Customer Experience Summit, revealed Project Pathfinder, a breakthrough technology that uses machine learning and Nuance AI innovation to increase the conversational intelligence of virtual assistants (VAs) and chatbots. Project Pathfinder reads existing chat logs and transcripts of conversations between agents and customers within contact centers, and…