Search Tag: AI
The-future-is-closer-than-you-think-artificial-intelligence
2016 25 Apr
The stage is set. The IT giants are each targeting healthcare with analysts projecting that, by 2018, 30 percent of providers will run cognitive analytics on patient data. With artificial intelligence making its presence felt in healthcare, a Healthcare IT News report asks what the greater risk is for providers; to invest too soon or too late?...Read more
Radiologists-and-pathologists-as-information-specialists
2016 20 Dec
A provocative Viewpoint article in JAMA suggests merging the roles of pathologist and radiologist to become "information specialists", harnessing the power of artificial intelligence. A unified discipline, information specialists would best be able to captain artificial intelligence and guide medical information to improve patient care, according to...Read more
For-organisations-ai-key-to-staying-competitive
2017 04 Apr
Use of artificial intelligence technology is expanding not just in IT departments but also in other areas of business. Indeed, based on a global survey, a large majority (84 percent) of organisations view the use of AI as essential to being competitive. See Also : IT Needs for the Next Generation of Healthcare The survey by consulting firm Tata...Read more
Using-ai-to-improve-revenue-cycle-management
2017 28 May
For many healthcare providers, finding ways to accurately and efficiently bill patients for their services remains a challenge. Current estimates indicate that 30 to 40 percent of medical bills contain errors. "Efficient medical billing is critical for optimising healthcare revenue cycle management and driving value-based patient care, but effectively...Read more
Ai-in-precision-cardiovascular-medicine
2017 29 May
Artificial intelligence (AI) techniques, such as machine learning, deep learning, and cognitive computing are promising and can potentially change the way in which medicine is practised. Over the past decade, several machine-learning techniques have been used for cardiovascular disease diagnosis and prediction. In the near future, AI will result in...Read more
New-report-from-sectra-shows-where-radiologists-see-the-added-value-of-machine-learning
2017 09 Oct
A new report from medical imaging IT and cybersecurity company Sectra shows in what areas of the diagnostic process radiologists themselves see the added value of machine learning. The report clearly shows more opportunities than threats. Artificial Intelligence (AI) and machine learning are set to disrupt the practice of radiology. How and...Read more
Ai-tools-where-to-begin
2017 17 Oct
Amidst growing popularity of artificial intelligence-based technology in healthcare, two experts share insights that are valuable particularly for hospitals planning to purchase AI tools. Their advice: Know that AI and machine learning are augmentative tools, understand that size matters among data sets, real-world applicability is a must, and the...Read more
Ai-based-neuroimaging-approach-helps-predict-alzheimer-s-disease
2017 22 Dec
Machine learning techniques such as support vector machine (SVM) have been applied recently in order to accurately classify individuals with neuropsychiatric disorders such as Alzheimer's disease (AD) based on neuroimaging data. However, the multivariate nature of the SVM approach often precludes the identification of the brain regions that contribute...Read more
2084-1
2018 25 Jan
In his groundbreaking novel ‘1984’, British writer George Orwell portrayed a futuristic world that could only be imagined at the time of its 1948 publication. With incisive foresight, even without its dystopian character, 1984 showed a society watched by an all-seeing eye that is evident in today’s data-driven digital world. Technology is not good,...Read more
Financial-and-practical-road-blocks-fail-to-stop-rise-and-rise-of-healthcare-ai
2018 23 Jan
The growing impact of artificial intelligence on healthcare is already being felt, even if opportunities for using AI technology are just beginning to be explored, according to a new report from JASON, an independent scientific advisory group. Some AI and machine learning programs can match human competence in image recognition and, in some studies,...Read more
Ai-skills-shortage-stunting-healthcare
2018 01 Feb
The growing adoption of artificial intelligence technologies is helping the cause of Learning Health Systems. “Learning Health Systems continually improve by collecting data and processing it to inform better decision making. As the amount and complexity of big data continues to increase, organisations are challenged to fully take advantage of it,”...Read more
Ai-app-for-stroke-detection-approved-by-fda
2018 21 Feb
A new AI application that can analyse imaging data and alert physicians of a potential stroke in patients has received approval from the U.S. Food and Drug Administration (FDA). The Viz.AI Contact app uses an AI algorithm to analyse computed tomography (CT) scans and identify signs of a stroke in patients. When the app identifies a potential blockage...Read more
Faster-diagnosis-of-eye-diseases-with-ai-machine-learning
2018 22 Feb
A new computational tool that uses artificial intelligence (AI) and machine learning (ML) can be used to screen patients with common retinal diseases such as macular degeneration and diabetic macular oedema. The researchers, from Shiley Eye Institute at UC San Diego Health and University of California San Diego School of Medicine, with colleagues in...Read more
Deep-learning-technique-identifies-and-segments-tumours
2018 27 Feb
A new deep-learning algorithm can be used to identify and segment tumours in medical images. Developed by AI researchers in Canada, the software makes it possible to automatically analyse several medical imaging modalities, according to a study published in the journal Medical Image Analysis. “The algorithm makes it possible to automate pre-processing...Read more
Ai-improves-quality-of-medical-imaging
2018 27 Mar
Researchers have developed a new artificial intelligence-based technique that enables clinicians to acquire high-quality images from limited data, thus reducing radiation doses for CT and PET and shortening scan times for MRI. This new technique called AUTOMAP (automated transform by manifold approximation) is described in a paper published in the...Read more
Ai-to-enhance-not-replace-radiologists-jobs
2018 02 Apr
Rapid advances in artificial intelligence, including deep learning, are a major factor behind improvements in medical image analysis. Some deep learning models have shown their ability to identify pathologies in radiological images such as bone fractures and potentially cancerous lesions, in some cases more reliably than an average radiologist. With...Read more
Ai-and-radiology-collaboration-is-key
2018 08 May
Artificial intelligence (AI) and deep learning have been met with great interest by the medical community. Particularly in the field of radiology, however, the arrival of AI has been met with responses ranging from cautious scepticism to outright fear and hostility, notes an Opinion article in the Journal of the American College of Radiology. "Such...Read more
Healthcare-business-international-2018-the-new-global-healthcare-landscape
2018 23 May
The new global healthcare landscape HBI 2018 focused on problems around building capacity, reaching out to new customers and deploying new solutions around digital health and artificial intelligence. Healthcare Business International’s annual conference is the only CEO-level event focused on private healthcare services, bringing together...Read more
The-future-of-healthcare-turning-challenges-into-opportunities
2018 23 May
Providing value-based care will be one of the driving forces in the future as highlighted by Siemens Healthineers professionals Dr. Ghada Trotabas, Dr. Arthur Kaindl, and Dr. Jonathan Darer at Healthcare Business International (HBI) 2018. The biggest challenge facing healthcare is the need to improve value for patients. Healthcare systems today...Read more
Alliar-innovations-for-a-country-of-continental-dimensions
2018 23 May
Alliar’s innovative business model and IT systems mean that patients in remote locations have access to standardised, high-quality exams in any of its patient centres across Brazil. Intro: Parauapebas Parauapebas is a small town located in north Brazil, next to the Amazon rainforest. It sits 2,000 km away from São Paulo, the country’s...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
Ai-and-healthcare-technology-in-india-opportunities-challenges-and-emerging-trends
2018 23 May
This piece describes the unique opportunities and challenges for artificial intelligence (AI) and digital health technology in India, describes some success stories, and brings up some current trends. With its vast inequalities in healthcare distribution, glaring lack of trained healthcare clinicians and infrastructure, and low government spending...Read more
Making-ehr-documentation-painless-the-role-of-ai
2018 15 May
Use of electronic health record (EHR) is strongly associated with dissatisfaction and burnout among physicians. This is not surprising as they spend 34-55 percent of their work day creating notes and reviewing medical records in the EHR, which is time diverted from direct patient interactions. EHR developers should look at informatics solutions...Read more
Merging-biomedical-imaging-and-ai-for-better-diagnostic-quality
2018 29 May
The U.S. National Institute of Standards and Technology (NIST) recently hosted a two-day workshop that gathered experts from the medical imaging and artificial intelligence communities. The objective was to develop standards for a new system that is envisioned to serve as a “diagnostic cockpit”, providing clinicians with data needed to diagnose...Read more
Envoyai-terarecon-insignia-partner-to-bring-artificial-intelligence-to-united-kingdom-customers
2018 10 May
EnvoyAI today announced a new integration with Insignia Medical Systems’ InSight PACS to provide AI-enhanced imaging workflows to customers. For initial launch in the UK, this integration provides best-of-breed, curated AI content available on the EnvoyAI platform within the PACS environment at multiple integration points. These include AI results...Read more