Search Tag: AI
2021 02 Dec
Introducing the new RUBEE for AI package: Chest X-ray AI Early detection of abnormal findings in the lungs can be critical to patients’ survival. They say extreme pressure creates diamonds, but that’s not what you are looking for to provide good patient care! The pressure on radiologists from the high volume of cases can, for example, create...Read more
2021 30 Nov
Partnership will expand worldwide access to iCAD's full suite of breast health solutions on Arterys' fully cloud-native SaaS platform Arterys, the world's leading vendor-neutral AI platform has announced it signed a global distribution agreement with iCAD , a global medical technology leader providing innovative cancer detection and therapy...Read more
2021 26 Nov
An overview of the role of Artificial Intelligence during the treatment process and implementation of AI algorithms to increase patient awareness and improve access to anonymised data. Artificial intelligence has been pushing itself into the digital space of the medical industry for several years. Recently, however, this process has...Read more
2021 27 Aug
Healthcare organisations need to think big when planning and outlining their goals for implementing an enterprise imaging system. As far as radiology is concerned, there is really no limit to what can be achieved in terms of improved workflow, increased productivity and better output. At its very basic, enterprise imaging systems bring together...Read more
2021 06 Jul
Artificial Intelligence (AI) holds great promise in critical care. Vast amounts of data are regularly collected in intensive care units, making ICUs the perfect environment for deploying machine-learning techniques. AI in ICUs can have several applications. For example, when determining the short and long-term outcomes of different interventions,...Read more
2021 05 Jul
The quantification and efficiency of performing measurements can be a challenge in daily cardiac ultrasound examinations. Providing the right support for reliable quantification and exam efficiency is needed so each user can perform a high-quality examination. In other words, our goal is to help sonographers and physicians obtain consistent measurement...Read more
2021 01 Jun
Digital health has experienced a boom during the pandemic, with solutions such as AI and telemedicine being adopted with speed across Europe. However, as many instances of such adoption have been the result of temporary or emergency measures, there is a question mark over whether solutions will continue to be leveraged after the pandemic, or whether...Read more
2021 01 Jun
An overview of the latest research regarding artificial intelligence in radiology and how these findings can transform the future of the field. Key Points AI disease detection can help radiologists identify pathologies using subtle features not visible to the human eye and help prioritise images with positive findings in the read queue....Read more
2021 19 Mar
Implementing AI technologies in the healthcare setting has been a priority interest for many in the field, from clinicians to investors. EIT Health, being at the forefront of health innovation in Europe and bringing stakeholders together to advance the progress, has focussed on the topic within its Think Tank, aimed at facilitating AI-driven transformation...Read more
2021 19 Mar
How Agfa’s SmartXR puts artificial intelligence in the technician’s hand to boost efficiency, consistency, safety and care in radiography . Key Points SmartPositioning augments a live camera stream by projecting the image area and the AEC x-ray feedback sensor positions onto the patient’s body. SmartRotate uses deep learning to auto-rotate...Read more
2021 09 Mar
A team of scientists from Geisinger and Tempus have found that artificial intelligence can predict risk of new atrial fibrillation (AF) and AF-related stroke. Their findings are published in Circulation. Atrial fibrillation is the most common cardiac arrhythmia and is associated with numerous health risks, including stroke and death. The study...Read more
2021 25 Feb
Improving radiologist performance through Artificial Intelligence and SmartSlices Brad Keller, Ph.D, Director, Clinical Research Breast Health, Hologic, Inc. Ashwini Kshirsagar, Ph.D, Chief Scientist, Clinical Solutions, Research and Development, Hologic, Inc. Andrew Smith, Ph.D., Vice President, Image Research Breast Health, Hologic. Inc....Read more
2021 24 Feb
Improving radiologist performance and workflow through deep learning AI applications. Ashwini Kshirsagar, Ph.D., Chief Scientist, Clinical Solutions, Research and Development, Hologic, Inc. Brad Keller, Ph.D., Director, Clinical and Scientific Affairs Breast Health, Hologic, Inc. Andrew Smith, Ph.D., Vice President, Image Research Breast Health,...Read more
2021 22 Feb
Why digitalisation of intensive care medicine means less rather than more data Intensive Care Medicine is generating an amount of data that is hardly analysable by humans. Digitalising and using artificial intelligence has to focus on providing less rather than more data. Introduction - AI in Intensive Care Medicine: Ghost or Glimmer...Read more
2021 22 Feb
Perioperative cardiorespiratory compromise is common and goes largely undetected. Predictive cardiorespiratory indices can help in early detection of harmful deviations and guide preemptive treatment. Using continuous cardiorespiratory monitoring coupled with these tools, we now know which patients are likely to decompensate both within and outside...Read more
2021 15 Feb
As we move into 2021, and as the second wave of COVID-19 continues to rage, HealthManagement.org asked healthcare experts what they anticipate as the most significant change this year and what they would like to see in the future. Read on for a snapshot on whether healthcare in 2021 needs a reset and what could be improved. Prof Christian...Read more
2021 03 Mar
Presented by Anjum Ahmed, Global Chief Medical Officer, Agfa HealthCare Koen Vergote, Global Product Manager Analytics, Agfa HealthCare Find Agfa Healthcare on Social Media Read more
2021 01 Feb
Researchers at Brigham and Women's Hospital's Artificial Intelligence in Medicine Program (AIM) Program and the Massachusetts General Hospital's Cardiovascular Imaging Research Center (CIRC) have developed a deep learning system that automatically measures coronary artery calcium from CT scans. The system can help physicans and patients make better...Read more
2021 25 Jan
Prostate cancer is one of the most common cancers among men. Patients are determined to have prostate cancer based on Prostate-Specific Antigen (PSA), a prostate-specific antigen used as an index for the screening of prostate cancer. However, diagnostic accuracy for prostate cancer is as low as 30%. That is why a large number of patients have to undergo...Read more
2020 15 Dec
Artificial intelligence (AI) has advanced from a debate into a large collection of different technologies with applicability in everyday life, meant to bring a difference in people’s life, from the way we interact between us, take decisions, buy products, set goals or monitor health. The healthcare sector makes no exception. We all...Read more
2020 15 Dec
Artificial intelligence (AI) has advanced from a debate into a large collection of different technologies with applicability in everyday life, meant to bring a difference in people’s life, from the way we interact between us, take decisions, buy products, set goals or monitor health. The healthcare sector makes no exception. We all...Read more
2020 30 Nov
Machine learning and radiomics may lead to personalised management and treatment of glioma patients, hopefully improving quality of life and survival. Key Points In the past few years, multiple radiomics-based tools have been introduced in the field of neuro-oncology and in particular for imaging of brain gliomas. Radiogenomics...Read more