Search Tag: machine learning

IMAGING Management

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

IMAGING Management

Machine-learning-unpicks-the-lexical-complexity-of-radiology-reports

2018 22 Feb

In a recent study conducted at the Icahn School of Medicine at Mount Sinai in New York, researchers used machine learning (ML) techniques to identify clinical concepts in radiologist reports for CT scans (Zech et al. 2018).   These techniques include natural language processing algorithms and demonstrate an important first step in the...Read more

Health Management

Ai-and-ml-applications-in-healthcare

2018 20 Feb

From the algorithm development sandbox to the clinical wilderness. Today, far too many articles and blog posts suggest that artificial intelligence (AI) and machine learning (ML) is some sort of magic pill that can easily be taken to ensure that all and any problems within healthcare will disappear overnight. However, change is difficult and often...Read more

Health Management

Volume-18-issue-1-2018

2018 25 Jan

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Health Management

Machine-learning-detecting-early-brain-tumour-presence-1

2018 25 Jan

M a c hi ne l ea r n i n g a l g o r i t h m s i n br a i n t u mo u r i d e n t i f i c a t i o n.   H o w machine learning is being utilised to cha r ac t erise agg r essive gliomas in a scalabl e analysis...Read more

Health Management

Utility-of-artificial-intelligence-in-cardiology-1

2018 25 Jan

A step forward for daily practice. Artificial Intelligence (AI) tools are proving their utility in the evolving field of cardiology. However, it's necessary that cardiologists understand their full potential in order to use them efficiently in the near future. Decision making in medicine Nowadays, the decision-making process in medicine is a...Read more

IT Management

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

Executive Health Management

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

IMAGING Management

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

ICU Management

Enabling-machine-learning-in-critical-care

2017 15 Sep

Critical care units are home to some of the most sophisticated patient technology within hospitals. In parallel, the field of machine learning is advancing rapidly and increasingly touching our lives. To facilitate the adoption of machine learning approaches in critical care, we must become better at sharing and integrating data. Greater emphasis on...Read more

IT Management

Ai-and-the-patient

2017 05 Sep

Artificial intelligence technology is evolving quickly. An increasing number of hospitals now use AI and machine learning for more efficient care management. With powerful analytics tools, providers can gauge capacity or pinpoint the slack in the system.   In addition, AI-based virtual assistants are helping more patients to stay fit and healthy....Read more

IT Management

Which-2-pieces-of-health-technology-are-essential-for-the-ciso-s-arsenal

2017 22 Aug

Artificial intelligence means using computers and tools to do something that humans do. Machine learning is a subset of overall AI that recognises patterns in data and predicts outcomes based on past experience and data. Most AI systems incorporate machine learning technology to help generate results that replicate human ones. You might also like...Read more

Executive Health Management

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

ICU Management

Ats-2017-machine-learning-may-help-to-identify-sepsis-early

2017 24 May

Using electronic health records (EHRs) to identify patients in hospital at risk for sepsis is now possible using machine learning. Machine learning does not rely on rules, but is able to learn complex patterns in data without being programmed to do so. Researchers from the University of Pennsylvania Health System presented their study of a machine-learning...Read more

IT Management

Digital-health-summit-ces-2018

2018 09 Jan

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IT Management

Taking-the-mystery-out-of-machine-learning

2017 06 Apr

Radiologists have been taught to fear machine learning.  It means what it says, a machine can learn.  It is an inherently frightening concept.  It is almost a shame to put such a label on the process, because it is not really new.  Remember Fuzzy Logic?  Neural Networks?  We were all impressed that a computer could recognize the letter “A”, but that...Read more

Digital Transformation

Taking-the-mystery-out-of-machine-learning

2017 06 Apr

Radiologists have been taught to fear machine learning.  It means what it says, a machine can learn.  It is an inherently frightening concept.  It is almost a shame to put such a label on the process, because it is not really new.  Remember Fuzzy Logic?  Neural Networks?  We were all impressed that a computer could recognize the letter “A”, but that...Read more

IT Management

Terarecon-demonstrates-deep-learning-workflow-at-himss17

2017 21 Feb

Prototype WIA Cloud engines learn from physician-driven workflow and improve automation in real-time   TeraRecon , a leader in advanced visualization and enterprise medical image viewing solutions, is demonstrating their Within Image Analysis (WIA™) Cloud* machine learning solution this week at Healthcare Information & Management Systems Society (HIMSS17)...Read more

IT Management

2017-digital-health-summit-ces-2017

2017 05 Jan

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IT Management

Internet-of-things-north-america-2017

2017 29 Mar

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Health Management

Hospital-readmissions-and-machine-learning

2016 01 Jul

The need to improve the efficiency of the healthcare services has emerged over recent decades and, especially, during the last few years with the economic and financial crisis, developed countries have been suffering   The ageing population, the sector most affected by chronic diseases, is seeking better results when they need the healthcare services...Read more

IMAGING Management

Human-plus-ai-imaging-analysis-boosts-cancer-diagnosis-to-99-5-1

2016 21 Jun

A combination of the decades-long practice of diagnosing illnesses by manually reviewing images under a microscope and artificial intelligence (AI), can help doctors improve accuracy of breast and other cancer diagnosis to a rate of 99.5 percent. A research team from Beth Israel Deaconess Medical Center (BIDMC) in Boston and Harvard Medical...Read more

IT Management

Computers-learning-to-improve-clinical-trial-participation

2016 28 Apr

With medical research struggling to recruit necessary numbers for clinical trials and studies being compromised or halted altogether, scientists are teaching computers to figure out why people accept or decline invitations to take part. Researchers at Cincinnati Children's Hospital Medical Centre have reported in the Journal of the American...Read more

IT Management

Xerox-system-helps-hospitals-better-predict-readmissions

2015 28 Jan

Midas+, a subsidiary of Connecticut-based Xerox, is combining its vast data resources with five years of Medicare and claims data to help hospitals better predict readmissions. With this new system, known as Midas+ Readmission Penalty Forecaster, a hospital can get a much more accurate prediction or “near real-time” information on both patient patterns...Read more