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,…
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.
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…
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…
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…
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…
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 unveiled part of his work. The boom in companies and start-ups…
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…
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…
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…
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…
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…
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…
Several research groups at Berlin Institute of Health (BIH) are working on digitally combating cancer. The main goal is to combine and jointly evaluate existing information. With 500,000 new cancer cases every year in Germany alone, it is worthwhile comparing experiences with different diagnostic and treatment methods, thus allowing more patients to benefit from the most promising approaches. In…
Artificial Intelligence (AI) is proving pivotal as Hologic evolves its women’s health solutions. With a focus on breast and skeletal health, future steps will see the medical technology company incorporate a more integrated approach to drive better, more cost effective, outcomes that are clinically supported to deliver an improved patient experience. Pete Valenti, Hologic’s division president…
In his talk at the Garmisch Symposium, entitled “MRI in 5 minutes – Dream or Reality?” Dr. Daniel Sodickson of the New York University School of Medicine will give attendees a preview of the MR scanners of the future, which he likens to self-driving cars. Sodickson — a professor and vice chair for research in the department of radiology at NYU, a principal investigator at the Center…
The European Society of Pathology (ESP) holds its European Congress of Pathology (ECP) at different venues annually. This year, in Spain, 3,448 delegates from 87 countries attended. There, ESP president Dina Tiniakos spoke about the increasing role of pathology in precision medicine including challenges linked to digitisation. ‘Precision medicine is the centre-point for cancer management, but…
Using a common type of brain scan, researchers programmed a machine learning algorithm to diagnose early-stage Alzheimer's disease about six years before a clinical diagnosis is made – potentially giving doctors a chance to intervene with treatment.