Search Tag: Artificial Intelligence
2021 12 Oct
The AI-Rad Companion, our family of AI-powered, augmented workflow solutions, helps you to reduce the burden of basic repetitive tasks and may increase your diagnostic precision when interpreting medical images. Its solutions provide automatic post-processing of imaging datasets through our AI-powered algorithms. The automation of routine workflows...Read more
2021 11 Oct
Multiple Hospitals Across Europe Set to be the First to Install Hugo™ RAS System and Expand the Benefits of Robotic-Assisted Surgery to Their Patients Medtronic plc, the global leader in medical technology, today announced it has received CE (Conformité Européenne) Mark for the Hugo™ robotic-assisted surgery (RAS) system, authorizing the sale...Read more
2021 05 Oct
AI negatively impact radiology as a career choice for US medical students. AI discouraged one-sixth of students from selecting radiology as a top speciality choice. The medical community pass on negative opinions on Radiology AIs to students. Incorporating artificial intelligence (AI) into the radiology workflow is an active research...Read more
2021 04 Oct
A recent article, published 30 September in the Journal of the American College of Radiology , explored post-regulatory pharmacovigilance issues associated with radiological practice AIs and strategies for choosing ideal solutions. AI algorithms in clinical use are increasing. The US FDA has cleared over 100 commercially available AI algorithms...Read more
2021 30 Sep
On 24 September in Nature Communications , NYU and NYU Abu Dhabi researchers reported developing an artificial intelligence (AI) system with radiologist-level accuracy for identifying breast cancer in ultrasound. Ultrasound is a critical tool used along with mammography for breast cancer screening, detection, and characterization. Compared to...Read more
2021 09 Sep
300 modalities, 1500 radiologists, 1500+ technicians, 10,000 referring physicians, 500,000 patients… Moscow’s Unified Radiological Information System (URIS) and its unified digital infrastructure have become a ‘one stop shop’ to access patient imaging data across the megalopolis and beyond. And a core component of URIS is the unified Enterprise...Read more
2021 04 Aug
Affidea , the leading diagnostic imaging, outpatient and cancer care provider, and GE Healthcare announce the launch of a 3.2 version of DoseWatch in combination with a real-time business intelligence (BI) tool for data dashboarding. The BI is installed on Corporate Affidea Microsoft Azure Cloud and collects data, in a secure and compliant way,...Read more
2021 26 Jul
A deep learning artificial intelligence (AI) solution that works alongside radiologists to improve breast cancer detection, avoid unnecessary biopsies and ultimately improve the patient experience for women, is being launched in Qatar. Mia or Mammography Intelligent Assessment, is designed to support breast radiologists in making the critical...Read more
2021 20 Jul
Although AI has been regarded as a tool for decreasing the workload of radiologists, a recent Dutch study shows that most current AI applications in medical imaging may have the opposite effect. Recent developments in artificial intelligence (AI) for radiology appear more likely to add to the workload of radiologists than reduce it, Dutch researchers...Read more
2021 13 Jul
The use of Artificial Intelligence algorithms offers significant opportunities in radiology and medical imaging. However, to generate real productivity gains from the use of AI and to enhance the diagnostic process, it is important to embed these algorithms into the workflows and healthcare systems. Nearly 75% of all clinical decisions are based...Read more
2021 06 Jul
In a class action lawsuit filed last week, healthcare workers alleged that their Amazon Alexa-enabled devices may have recorded their conversations – including potentially protected information - without their intent. In a storyline that could be ripped right out of Dave Egger's bestselling dystopian novel "The Circle", four plaintiffs raise...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 28 Jun
Ethics and human rights must be a part of the design, deployment, and use of Artificial Intelligence (AI) in the delivery of healthcare, according to the World Health Organisation’s first global report on AI in health. The WHO report, Ethics and governance of artificial intelligence for health , was released June 28th, and is the result of...Read more
2021 21 Jun
Last summer, OpenAI launched GPT-3, a state-of-the-art artificial intelligence contextual language model that promised computers would soon be able to write poetry, news articles, and programming code. Sadly, it was quickly found to be foulmouthed and toxic. OpenAI researchers say they’ve found a fix to curtail GPT-3’s toxic text by feeding the...Read more
2021 10 May
Researchers from the Kobe University Hospital, Japan, have developed an AI that uses multiple types of test data to predict the location of surplus pathways in the heart. These “accessory pathways” cause the heart to beat irregularly. In this study on “Accessory pathway analysis using a multimodal deep learning model” published in Scientific Reports,...Read more
2021 09 May
Digital breast tomosynthesis (DBT) is increasingly used in breast cancer screening, as it increases sensitivity of mammography. Due to the large number of images, reading errors occur as well as an increase in reading time. This is based on findings from a study on the “Impact of artificial intelligence support on accuracy and reading time in breast...Read more
2021 30 Apr
Following a series of ‘Healthcare Workforce and Organisational Transformation with AI’ roundtables , EIT Health’s Think Tank explores the future role of AI and digital solutions in EU health systems. You might also like: Implementing AI technologies in the healthcare setting has been a priority interest for many in the...Read more
2021 25 Apr
Analysing microscopy images has just become easier with a new, freely available artificial intelligence platform. You might also like: Smartphones are becoming an indelible part of everyday life and also finding their way into healthcare. A new study explores the challenges and opportunities of their applications in biomedical...Read more
2021 29 Mar
In this space I explore monthly topics, from concepts to technologies, related to the necessary steps to build Digital Healthcare Systems. For the month of April 2021, I have invited João Santinha to co-author a brief article on ‘AI, Medical Liability, in a "Moving" Image’. We dive into the December 2020 topic and focus on the medical liability...Read more
2021 29 Mar
In this space I explore monthly topics, from concepts to technologies, related to the necessary steps to build Digital Healthcare Systems. For the month of April 2021, I have invited João Santinha to co-author a brief article on ‘AI, Medical Liability, in a "Moving" Image’. We dive into the December 2020 topic and focus on the medical liability...Read more
2021 19 Mar
The COVID-19 pandemic has taken the world by storm. In particular, the crisis has revealed different aspects of healthcare that need to change and improve. HealthManagement.org spoke to Sourabh Pagaria, Head of the Southern European business of Siemens Healthineers. He is also a thought leader on how Data, Artificial Intelligence and joint public-private...Read more
2021 12 Mar
A new study describes a three-stage machine-learning approach to automated surgical skill assessment in laparoscopic cholecystectomy videos . You might also like: L eading experts including Jorge Juan Fernández (EIT Health), John Halamka (Mayo Clinic) and medical futurist Bertalan Meskó discussed the opportunities and challenges of...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