Search Tag: machine learning
Ai-and-real-world-data-in-healthcare-a-call-for-fairness-assessment
2024 18 Mar
Recent advancements in artificial intelligence (AI), particularly machine learning (ML), have been successfully integrated into healthcare applications, showing promise in risk prediction, disease diagnosis, and sub-phenotyping. The widespread adoption of electronic health record (EHR) systems has provided a wealth of real-world data (RWD) for...Read more
Machine-learning-model-to-identify-social-needs-from-patient-medical-notes
2024 18 Mar
Social needs and social determinants of health (SDOH) are significant factors influencing clinical outcomes, yet they are often under-documented in healthcare systems' electronic health records (EHRs). Currently, the majority of data regarding social needs and SDOH challenges within EHRs are captured as unstructured medical notes rather than structured...Read more
Reimagined-hospitals
2020 29 Jan
In 10 years, the healthcare system will be a different beast. The power of technology and data will change the way we face the current challenges driving us towards more integrated care based on population health and value, with increased patient engagement. This all means the old healthcare provision paradigm is crumbling. Not that hospitals will...Read more
Bright-ideas
2020 29 Jan
HealthManagement.org rounds up exciting developments that have all the characteristics of game-changers for healthcare. What do you think? AI Breast Cancer Diagnosis Matches Two Doctors A study suggested that AI diagnoses breast cancer from mammograms more accurately than radiologists.A computer, specially designed and trained by...Read more
How-to-integrate-ai-into-radiology-workflow
2019 13 Nov
Summary: Where do the computer sciences have the potential to reduce radiologist burnout, reduce costs and make workflow more efficient and what are the first steps in implementing the technology? In the long-term future, I think that computers will take over the work of image interpretation from humans, just as computers...Read more
Improving-patient-compliance-with-future-mhealth
2019 26 Aug
Summary: Combine the characteristic of our engagement with social media with existing technology and how we could improve patient compliance in the not so distant future. Patient treatment compliance is a significant barrier and a challenge for healthcare professionals the world over. While several studies have been conducted leading to...Read more
Putting-medical-radiation-protection-first
2019 26 Aug
Summary: How a European Society of Radiology flagship initiative is addressing quality and safety in medical imaging. EUROSAFE IMAGING has celebrated five years of success in its mission to support and strengthen medical radiation protection across Europe. Through its Stars network, EUROSAFE IMAGING makes efforts to give radiation protection...Read more
Better-insight-better-peace-of-mind
2019 26 Aug
Enhanced diagnostic accuracy of screening mammography with the use of Artificial Intelligence Breast cancer is the most frequent cancer among women, with an estimated incidence of 560,000 cases in 2018, in Europe. 1 The World Health Organisation (WHO) estimated that 627,000 women worldwide, 2 out of which 150.0002 only in Europe, died from...Read more
Artificial-hype
2019 22 Feb
Radiologists, more than any other medical specialty, feel the professional and emotional ‘whiplash’ that began five or so years ago. Vanishing jobs (transforming radiologists into production units) for cost over quality for our patients, to the current shortage and need for more radiologists. AI introduced the threat that automation would take what...Read more
Why-embracing-artificial-intelligence-is-beneficial-for-all
2019 22 Feb
In many ways Artificial Intelligence (AI) may seem like a new concept in healthcare, mainly due in part to the recent traction the topic has made in the news in the last few years. It has even been falsely sensationalized, to further elevate buzz, as a tool that will one day replace clinicians altogether. The truth, though, is that companies like Hologic,...Read more
Artificial-intelligence-in-healthcare-what-is-versus-what-will-be
2019 22 Feb
Artificial intelligence will alter healthcare as we know it, augmenting some jobs and outright replacing others. Though we can’t be sure when this will happen, what’s most important for now is understanding what AI is and what it isn’t. At medical conferences and in hospital cafeterias, few topics come up more frequently, or cause more confusion...Read more
Digitizing-healthcare
2019 21 Jan
Affidea launches new digital tools in its network to improve patient experience and boost operations workflow. Affidea, the leading pan-European provider of advanced diagnostic imaging, outpatient and cancer care services, has announced the launch of two new applications to drive forward the digitisation of its operations and increase productivity...Read more
Imaging-applications-of-artificial-intelligence
2018 07 Nov
The potential impact of artificial intelligence in radiology is impressive; vendors and major academic centres are developing a wide array of artificial intelligence applications and neural networks to aid radiologists in clinical diagnosis and clinical decision support. Artificial intelligence (AI) is one of the trending topics in medicine...Read more
Ehealth-transforming-healthcare-in-disruptive-times
2018 23 May
Where is eHealth in Ireland heading and where could it lead us? Examining the state of eHealth, its challenges and opportunities at the European Association of Hospital Managers congress in Dublin. With digital innovations dramatically transforming every layer of the healthcare landscape, intensive discussions are required to manage...Read more
Does-radiology-have-a-bright-future
2018 23 May
Do AI and machine learning herald the end of radiology? I could answer in one word: Yes. But HealthManagement has given me 700 and I’m delighted to have the opportunity to expand my hypothesis. I might as well start with the “elephant in the room”. How many radiologists cringed when they read President Obama’s assertion that “radiologists...Read more
Machine-learning-detecting-early-brain-tumour-presence
2017 10 Oct
By tapping the power of supercomputers, combined with machine learning algorithms, a team led by University of Texas at Austin researchers have developed a method to automatically identify brain tumours. This novel method, the product of nearly a decade of research, can characterise gliomas, the most common and aggressive type of primary brain tumour....Read more
Machine-learning-for-costly-illnesses
2017 06 Jun
Machine learning algorithms now enable some hospitals in Boston to predict diabetes and heart disease hospitalisations up to a year in advance with 82% accuracy. In contrast, guidelines used by cardiologists to predict a patient’s risk of cardiovascular disease are about 56% accurate. Indeed, those algorithms could become even more accurate with the...Read more