Patient safety in endoscopy must be approached from a holistic perspective, through solutions which increase detection rates of abnormalities, increase confidence in the safety of the reprocessing outcome, and control the risk of infection and cross-contamination. With these important benefits in mind, manufacturers should be continuously working to innovate products to establish solutions that…
MEDICA in Düsseldorf is a world-leading platform for the medical technology business and the healthcare industry and has always been one of the places to be for the entire sector as it covers current digital health trends, innovative products and services for linking all of the major stakeholders in medical care. Consequently, digital health is a mainstay of virtual.MEDICA, which, due to the…
The new Joint Imaging Platform – JIP for short – is a flexible, decentralized analysis platform for medical images. The JIP was initially developed for the German Cancer Consortium (DKTK) sites. It is designed to facilitate cross-institutional imaging projects and to help meet the technical and legal challenges associated with the joint use of imaging data.
Russian tech company Connectome.ai is bringing its innovative Directiva.ai hand hygiene teaching and monitoring system to two major clinics owned by the European Medical Center group, the leading private healthcare provider in Moscow and the surrounding region.
Hologic, Inc. announced the commercial availability in Europe of its 3DQuorum Imaging Technology, Powered by Genius AI. The innovation was designed to help improve mammography efficiency and workflow, which is critical as clinics strive to manage the backlog of women whose routine breast screening was delayed due to the COVID-19 lockdown.
In the first study of its kind in cancer, researchers have applied artificial intelligence to measure the amount of muscle in patients with brain tumours to help improve prognosis and treatment.
A French expert in breast imaging looked at the latest Deep Learning (DL) applications in her field, screening their strengths and weaknesses in improving breast cancer detection. It is really important to understand which types of data sets need to be checked when evaluating an AI model for image interpretation, according to Isabelle Thomassin-Naggara, Professor of Radiology at Sorbonne…
AI in healthcare has been a trending, sometimes head-spinning topic for a few years – and, with the COVID-19 pandemic, clinicians have been presented with a whole new range of AI products that may or may not meet their needs. When it comes to choosing one’s own set of tools, which criteria should prevail?
Olympus Corporation announced the launch of Endo-Aid, a platform powered by artificial intelligence (AI) that includes the endoscopy application Endo-Aid CADe (computer-aided detection) for the colon. This new AI platform enables real-time display of automatically detected suspicious lesions and works in combination with Olympus’ recently introduced EVIS X1, its most advanced endoscopy system…
An AI (Artificial Intelligence) assisted polyp detector is helping endoscopists find more lesions during colorectal examinations. Leading endoscopists highlighted how the system is improving performance and finding flat or hidden polyps that the human eye could miss, in a webinar entitled “Artificial Intelligence - How to unleash the potential for colorectal polyp detection.” Hosted by the…
TransEnterix, Inc., a medical device company that is digitizing the interface between the surgeon and the patient to improve minimally invasive surgery, announced that Hackensack Meridian Health Pascack Valley Medical Center, a hospital in New Jersey, successfully completed its first surgical procedures using the Intelligent Surgical Unit (ISU).
Currently, ultrasound machines are operated primarily by specialists because it requires extensive experience to interpret the images. Norwegian researchers are aiming to tackle this issue.
Siri and Alexa are leading the way: the virtual assistants meet many daily needs. Soon, similarly programmed software and a ‘digital patient twin’, will be launched into the medical world – both IT applications based on Artificial Intelligence (AI). The virtual medical assistant and digital patient twin are two key aspects of a research project ‘Models for Personalised Medicine’.…
Artificial intelligence (AI) experts at the University of Massachusetts Amherst and the Baylor College of Medicine report that they have successfully addressed what they call a “major, long-standing obstacle to increasing AI capabilities” by drawing inspiration from a human brain memory mechanism known as “replay.” First author and postdoctoral researcher Gido van de Ven and principal…
As Artificial Intelligence continues to impact on the development of digital pathology, potential users are still slow to implement key enabling technologies to harness the benefits, according to Dr David McClintock, who will detail critical steps for pathology departments to transition practice from glass (analogue) to digital (whole slide imaging) and embrace AI, to the 6th Digital Pathology…
The anatomical pathologist faces a crisis. Public and private labs suffer increasing caseloads, whilst pathologist numbers diminish for various reasons, including greater cancer prevalence associated with aging populations as well as improved cancer screening programs. Precision medicine typically involves more genetic testing and extensive use of immunohistochemistry to classify cancer and…
Artificial Intelligence (AI) has, for the first time, measured blood flow to the heart to help predict which patients may suffer myocardial infarction or stroke. A research team at University College London and Barts Health NHS Trust and the National Institutes for Health (NIH) in the USA – are optimistic that AI analysis of perfusion maps will be a reliable, convenient and detailed new…
Fujitsu and Tokyo Shinagawa Hospital today announced the launch of a joint R&D project for AI technology to support diagnostic imaging via chest CT (Computed Tomography), which represents a promising candidate for the effective diagnosis of COVID-19 pneumonia.
Sending a “selfie” to the doctor could be a cheap and simple way of detecting heart disease, according to the authors of a new study. The study is the first to show that it’s possible to use a deep learning computer algorithm to detect coronary artery disease (CAD) by analysing four photographs of a person’s face. Although the algorithm needs to be developed further and tested in larger…
Neuroradiologist Dr Sofie Van Cauter described the challenges to brain tumour image segmentation during the European Society of Medical Imaging Informatics (EuSoMII) annual meeting in Valencia. She also outlined how, when clinically validated, AI could help tackle such problems. The WHO classification of brain tumours has come a long way since first introduced in 1979. The 2016 classification was…
Value-based healthcare is gaining momentum and radiologists must increasingly show their contribution in improving patient care. Artificial intelligence (AI) can help them to do so and brings a series of new opportunities, according to Charles E Kahn, Professor and Vice Chairman of Radiology at the University of Pennsylvania, speaking at a meeting in Madrid in January. AI can do a lot to improve…
Researchers from Eindhoven University of Technology (TU/e) and the Catharina Hospital in Eindhoven have developed a new algorithm for the rapid screening for COVID-19. The software is intended for use in Emergency Rooms (ER), to quickly exclude the presence of corona in incoming patients. As a result, doctors need to conduct fewer standard coronavirus tests, increasing efficiency. The quick scan…
Researchers at the University of Notre Dame are developing a new technique using artificial intelligence (AI) that would improve CT screening to more quickly identify patients with the coronavirus. The new technique will reduce the burden on the radiologists tasked with screening each image. Testing challenges have led to an influx of patients hospitalized with COVID-19 requiring CT scans which…
Patient data are a treasure trove for AI researchers. There’s a problem though: many algorithms used to mine patient data act as black boxes, which makes their predictions often hard to interpret for doctors. Researchers from Eindhoven University of Technology (TU/e) and the Zhejiang University in China have now developed an algorithm that not only predicts hospital readmissions of heart…
40 years ago, anticipating the huge impact of computers in radiology, a group of visionaries formed the Radiology Information System Consortium (RISC). In 1989, RISC created the Society for Computer Applications (SCAR) to promote computer applications in digital imaging. Those organisations became the Society for Imaging Informatics in Medicine (SIIM). At SIIM 2020, a virtual meeting, experts…