Search Tag: Artifical Intelligence
Testing-whether-ai-can-replace-radiologists
2023 11 Jan
A recent study tested whether artificial intelligence could pass the rapid reporting element of the Fellowship of the Royal College of Radiologists exam, which radiologists in the UK are required to pass before the completion of their training. The aim of the study was to test whether an AI candidate could pass the reporting exam and outperform...Read more
Ai-can-detect-early-signs-of-osteoarthritis-from-an-x-ray-image
2022 22 Dec
A team of researchers from the university of Jyväskylä and the Central Finland Health Care District developed an AI based neural network, that can detect early knee osteoarthritis from x-ray images. This new method offers the potential to improve early detection, saving the patient from unnecessary examinations and treatments. Typically,...Read more
Self-supervised-ai-overcomes-a-significant-limitation-in-clinical-ai-design
2022 04 Oct
A group of biomedical informaticists and computer scientists, from the universities of Harvard and Stanford, developed a new machine learning system that can detect diseases on chest X-rays, and requires no human annotations to learn. AI models need to be trained using relevant imaging data in order to learn to detect disease presented in medical...Read more
Esccongress-ai-algorithm-for-prevention-of-cardiovascular-disease
2022 29 Aug
Late-breaking research presented at the ESC Congress shows that an artificial intelligence (AI) algorithm accurately estimates the risk of heart disease caused by cumulative exposure to cholesterol and blood pressure levels and the benefits of lowering both, thus providing the information needed to make individual treatment decisions. Atherosclerotic...Read more
Ai-vs-humans-detecting-incidental-pulmonary-embolism-on-chest-ct
2022 19 Jul
A study was conducted to assess the diagnostic performance of an AI algorithm for detecting incidental pulmonary embolus (iPE) on conventional contrast-enhanced chest CT examinations. Results show that the AI tool had a high negative predictive value (NPV) and moderate positive predictive value (PPV) for detection and was able to find some iPEs that...Read more
Ai-opportunities-capabilities-and-limits
2022 08 Jul
There is no doubt that Artificial Intelligence (AI) can transform how we deliver care. It can increase clinician productivity and improve efficiency and enable existing healthcare systems to provide care to more people than before. AI can also improve data analysis and utilisation, facilitate better decision-making and promote early diagnosis and...Read more
Artificial-intelligence-impact-challenges-and-opportunities-1
2022 08 Jul
Dr Anjum Ahmed is the Chief Medical Officer at Agfa HealthCare. He has played an essential role in steering the company’s innovation strategy for Enterprise Imaging and Artificial Intelligence. Dr Ahmed has over 23 years of global experience in solutions innovation, governance, change management and digital transformation. Before joining Agfa HealthCare,...Read more
The-knowledge-model-and-enabling-artificial-intelligence
2022 08 Jul
The purpose of this paper is to provide a growth path to AI development. It is based on principles learned from launching CT, MRI, Neuro Vascular, and PACS. Key Points Create a model (The Knowledge Model) that will build with additional concepts as they develop, resulting in synergistic thinking (Causal Knowledge...Read more
The-knowledge-model-and-enabling-artificial-intelligence
2022 08 Jul
The purpose of this paper is to provide a growth path to AI development. It is based on principles learned from launching CT, MRI, Neuro Vascular, and PACS. Key Points Create a model (The Knowledge Model) that will build with additional concepts as they develop, resulting in synergistic thinking (Causal Knowledge...Read more
One-ring-to-rule-them-all-in-ai-affideas-experience
2022 08 Jul
An overview of Affidea’s experience on the road to AI implementation and the need to understand the complexity of integrating multiple AI solutions safely, offering clear benefits to patients and radiologists. Artificial Intelligence in Healthcare Artificial Intelligence (AI) in radiology is growing at a fast pace. A 2020 study from the...Read more
Are-we-ready-for-ai-ethical-decision-making
2022 07 Jun
As technology continues to evolve, the role of Artificial Intelligence (AI) in decision-making processes continues to grow. Today, humans have become dependent on algorithms to process information, guide behaviour and draw conclusions. In a new study, researchers study how humans react to AI decision-making and explore the question: "is society...Read more
U-s-fda-warns-not-to-diagnose-using-stroke-triage-software
2022 16 Apr
On 11 April, the U.S. Food and Drug Administration (FDA) warned healthcare providers that radiological computer-aided triage and notification (CADt) devices should be used not to diagnose patients that may have intracranial large vessel occlusion (LVO). In its letter, the FDA reminded healthcare providers that the purpose of LVO CADt devices is...Read more
Ai-uses-mri-data-to-predict-sudden-death-from-arrhythmia
2022 12 Apr
Johns Hopkins University researchers (Baltimore, MD, USA) recently developed a deep-learning-based algorithm capable of predicting sudden arrhythmic death using contrast-enhanced heart MRI data of ischemic heart scarring and the patient’s clinical background. The study’s results were recently published in Nature Cardiovascular Research , which marks...Read more
Hot-topic-research-studies-of-machine-learning-for-image-analysis
2022 11 Jan
MODERATOR Marc Dewey SPEAKER Julia A. Schnabel Find ESOR on social media Read more
Chest-x-ray-ai-taking-on-detection-and-diagnosis-challenges-in-chest-x-rays
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
Bangkok-international-symposium-on-hiv-medicine-2022
2022 19 Jan
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Clinical-trials-of-artificial-intelligence
2020 26 Feb
With the introduction of computers and advanced technology, the majority of patient data is now captured digitally. And this has allowed opportunities for machine learning. Today, machine learning is frequently used to make diagnosis or predict disease outcomes, optimise treatment decisions and determine the prognosis of patients. While there...Read more
British-medtech-eyes-middle-east-post-brexit
2020 31 Jan
The UK is looking to strengthen medical technology ties with the Middle East on its departure, Brexit, from the European Union on January 31. This week at Arab Health, UK-based L exington Communications held a presentation and Q&A, Making a success of Brexit: Opportunities for UK MedTech at the Dubai congress. You might also like:...Read more
How-far-is-the-future
2020 29 Jan
Summary: Endless noise about new technologies in healthcare has providers struggling to find valuable tools among the vapourware. Conversations with thousands of providers, payers, and vendors can help us predict what healthcare will probably look like in 10 years. In healthcare, uncertainty about the future can yield damning apprehension or...Read more
Most-companies-have-no-ai-plan-wef-promotes-ai-toolkit
2020 21 Jan
Global technology investment is rising to $52bln in the next three years, and expected to double the annual growth rates of major economies over the next 15 years. But while about 29 countries have established national AI policies to address potential risks, very few companies have followed suit. You might also like: Fighting Cyber Threats With...Read more
Cloud-based-solution-reduces-referrals
2019 10 Aug
Cloud-based technology has reduced referrals by about 50% in a trial held at Moorfields Eye Hospital in London. Developed in collaboration with software company Big Picture , the cloud solution aims to assess patient need for a hospital eye service referral remotely. During trials for the technology, around half of initial referrals were...Read more
Increased-ai-presence-at-rsna-2019
2019 07 Aug
RSNA have announced Artificial Intelligence (AI) applications will feature prominently at the 105th Scientific Assembly and Annual Meeting being held this December in Chicago. You might also like: AI and Teleradiology Impact Healthcare Sponsored by Zebra Medical Vision, the one-stop AI showcase will be located...Read more
Automating-ai-for-clinical-decision-making
2019 07 Aug
Some artificial intelligence (AI)-based techniques are helping improve prediction of risks for certain diseases or disorders. Machine-learning models, for example, can be trained to find patterns ("features") in patient data and then determine a patient's risk of having lung cancer. You might also like: Machine Learning to Recognise Cardiac...Read more
What-does-the-competitive-landscape-for-your-areas-of-specialisation-look-like
2019 06 May
What are the factors that drive innovation and change? AI in radiology is at a crossroads. This crossroads represents a common fork in the path across all industries in which the technology is moving beyond the hype, separating the strongest solutions from those that eventually wane. Given this context, the AI-medical imaging...Read more
Will-ai-lead-to-job-cuts-or-will-the-tech-improve-working-lives
2019 22 Feb
Can Artificial Intelligence (AI) be trusted to better working conditions and create more jobs or, as the technology becomes more widespread in healthcare, will it be a threat to employment in the sector? HealthManagement.org spoke to four Artificial Intelligence (AI) experts for their views. Luciano Floridi Professor of Philosophy and Ethics...Read more
Report-warns-of-ai-healthcare-limitations
2019 12 Feb
Artificial intelligence (AI) is seen driving what is regarded as the new phase of automation. Advocates say it is hard to think of any area of our lives that will not be affected by this nascent data driven technology. AI is already in healthcare too; for example, Google’s Deep Mind has taught machines to read retinal scans with at least as...Read more