News • Machine learning
AI predicts which drug combinations kill cancer cells
Researchers in Finland have developed a machine learning model that can help us treat cancer more effectively.
AI
News • Breast cancer
Cancer cells 'remove blindfold' to spread
Cancer cells spread by switching on and off abilities to sense their surroundings, move, hide and grow new tumors, a new study has found. This sensitivity to their surroundings is the key ability that makes small numbers of cancer cells better at spreading than other cells in a tumor.
Article • Improving detection accuracy
Fighting prostate cancer with over 1.5 million MRI images
Men die about five years earlier than women across the world. As initiatives to boost awareness of men’s health unfolded in November, an international project is bringing the forefront of AI research to tackle prostate cancer (PC), the second most frequent type of cancer in men and the third most lethal in Europe.
Article • USA and Chinese experts share observations
AI in Covid research
A panel of experts from the USA and China highlighted AI use in radiological workflow during the Covid pandemic and identified current pitfalls during the Hot Topic session at RSNA 2020. Radiologists from the USA prioritised Covid articles, delivered quick reviews, made all results open access, and helped organise a white paper from the Fleischner Society recognising recommendations for the role…
Article • Clinical decision support
AI deep learning of PET/CT images to support NSCLC treatment
A software tool to predict the most effective therapy for non-small cell lung cancer (NSCLC) developed by applying deep learning artificial intelligence (AI) to positron emission tomography/computed tomography (PET/CT) images has been developed by researchers at H. Lee Moffitt Cancer Center and Research Institute in Tampa, Florida. The tool is designed to provide a noninvasive, accurate method to…
Article • Open source framework
Here comes the AI healthcare era
Although the Covid-19 pandemic has put wind behind the sails of AI in healthcare, domain specific tools are needed to build and deploy AI and harness its power in data handling, training workflows and reproducibility of state-of-the-art approaches, according to Kimberly Powell, NVIDIA Vice President of Healthcare at the technology firm NVIDIA, presenter of a public address at RSNA 2020.
Sponsored • AI-powered radiography
Agfa launches SmartXR Assistant
Agfa announces the launch of its SmartXR portfolio on 29 November 2020 at RSNA, being held virtually. SmartXR uses a unique combination of hardware and AI-powered software to lighten radiographers’ workloads and provide image acquisition support. This newest member of Agfa’s DR portfolio offers key assistance during the radiology routine, which has proven to be very important during the…
Article • AI-assisted MRI segmentation
Deep learning boost for prostate cancer workflow
Prostate cancer radiotherapy treatments guided by MRI are increasingly being explored to help improve patient outcomes and reduce toxicities after treatment. However, this development is being held back as the MRI approach is labour intensive and requires daily adaptive treatment planning, placing significant additional demands on clinician time and oncology services. To address this, a team of…
News • Congress
Healthcare: Why Focus On Digitalization?
Health industry digitalization is one of the highest priorities in the healthcare sector these times. In perspective, it improves current living standards with quicker and easier access to help. The Healthcare Automation and Digitalization Congress business program will cover digital trends in the healthcare industry. The Congress will take place in Zurich, Switzerland on the 22nd - 23rd of…
News • Artificial Intelligence
New type of early warning system detects lung diseases
Chronic illnesses can have a dramatic impact on a patient's later life. An early diagnosis of such diseases opens up the possibility of taking medical action in good time.
Sponsored • AI assistance for colonoscopy
Ensuring Patient Safety in Endoscopy
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…
News • spotlight at virtual.MEDICA
Digital health is on the rise due to COVID-19
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…
News • Joint Imaging Platform (JIP)
If the data won't come to the algorithm...
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.
News • Computer vision
Innovative hand hygiene solution uses AI
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.
News • Breast imaging
Hologic launches AI powered imaging technology
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.
News • Deep learning applied to MRI scans
Glioblastoma: Using AI to improve prognosis and treatment
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.
Article • Algorithms must meet quality criteria
Deep Learning in breast cancer detection
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…
Article • AI in clinical practice
Hospitals must think big, small and new
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?
News • Computer-aided detection
Olympus launches AI-powered endoscopy platform
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…
Article • Unleashing the potential
AI increases colorectal polyp detection
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…
Video • Intelligent surgical unit
Advancing robotic surgery with machine vision capabilities
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).
News • Sonography learning curve
Making ultrasound more accessible
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.
Article • Digitising healthcare
Virtual assistants and digital twins advance personalised medicine
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’.…
News • The network remembers
Brain-inspired memory abilities to make AI less 'forgetful'
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…
Article • Overcoming the barriers to AI in digital pathology
‘You can’t do AI on glass slides’
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…
