Doctors at Addenbrooke’s Hospital in Cambridge aim to drastically cut cancer waiting times by using artificial intelligence (AI) to automate lengthy radiotherapy preparations. The AI technology, known as InnerEye, is the result of an eight-year collaboration between researchers at Cambridge-based Microsoft Research, Addenbrooke’s Hospital and the University of Cambridge.
Getting computers to “think” like humans is the holy grail of artificial intelligence, but human brains turn out to be tough acts to follow. The human brain is a master of applying previously learned knowledge to new situations and constantly refining what’s been learned. This ability to be adaptive has been hard to replicate in machines. Now, researchers at the Salk Institute have used a…
Medicus AI announces the successful launch of its first live project under SafePlay, the digital platform supporting rapid antigen testing, which went live in partnership with Roche Diagnostics Germany and 21Dx in Munich this month. Medicus provides operators with a tech-enabled end-to-end solution that supports the logistical aspects of testing, managing the administrative workflow from…
A great deal of solutions using new technologies have been released to help tackle the Covid-19 pandemic and a panel of international experts shared a few examples during the Barcelona Health Summit last October. Contact-tracing apps are an interesting option to manage a pandemic, but the creation process can take a long time and must meet several requirements, according to a Dutch official who…
The deployment of conversational user interfaces (CUI) or chatbots to healthcare has started gaining momentum. It is fueled by the rising power of artificial intelligence (AI), the increasing popularity of mobile health applications as well as the desire for engagement and usability. The past few years have seen a myriad of innovations in chatbots that can automate and engage in human-like…
An Artificial Intelligence test has been shown to be able to rapidly screen patients arriving in Emergency Departments for Covid-19, using clinical information routinely available within the first hour of coming to hospital. Results of the CURIAL study, published in The Lancet Digital Health, show that the AI test correctly predicted the Covid-19 status of 92.3% of patients coming to Emergency…
The sudden spread of COVID-19 in early 2020 has considerably exacerbated the issue as it forced the closure of “non-essential” radiology activities while dramatically increasing the number of patients requiring a scan.
Researchers in Finland have developed a machine learning model that can help us treat cancer more effectively.
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.
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.
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…
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…
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.
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…
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…
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…
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.
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?
