Search Tag: machine learning

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Eusomii-annual-meeting-2022

2022 14 Oct

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8th-digital-pathology-ai-congress-usa

2022 14 Jun

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Agfa-healthcare-winners-of-eaward-2021

2021 04 Nov

The winners of the eAward 2021 have been announced. The first place in the category of Machine Learning and Artificial Intelligence was taken by   VRVis Zentrum für Virtual Reality und Visualisierung Forschungs-GmbH  and  Agfa HealthCare  for their joint project "Interpretive Artificial Intelligence strengthens trust in computer-aided diagnoses." ...Read more

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Ai-system-achieves-radiologist-accuracy-in-detecting-breast-cancer-from-ultrasound

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

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Machine-learning-to-predict-efficacy-of-anti-cancer-drug

2020 09 Nov

With the advent of pharmacogenomics, machine learning research is well underway to predict the patients' drug response that varies by individual from the algorithms derived from previously collected data on drug responses. Entering high-quality learning data that can reflect a person's drug response as much as possible is the starting point for improving...Read more

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White-paper-reveals-what-radiologists-really-feel-about-ai

2020 21 Jan

Radiologic technologists are, on the whole, positive about the future role AI in imaging according to a recent white paper published by the American Society of Radiologic Technologists Foundation.   Named The Artificial Intelligence Era: The Role of Radiologic Technologists and Radiation Therapists , the 21-page white paper gathered data and...Read more

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Radiomics-helps-in-heart-attack-or-myocarditis-verification

2020 16 Jan

New findings show that radiomics and machine learning (ML) can be combined to help ascertain if late gadolinium enhancement (LGE) on cardiac MR images indicated myocardial infarction (MI) or myocarditis.   You might also like: Machine Learning Improves Breast Cancer Screening and Diagnosis   A study published in Radiology: Cardiothoracic...Read more

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Rsna-2019-quenching-the-thirst-for-ai-knowledge

2019 21 Nov

This year’s Scientific Assembly and Annual Meeting, the Radiological Society of North America (RSNA) will feature a newly expanded Artificial Intelligence (AI) Hub as the technology becomes increasingly embedded in imaging processes.   You might also like: RSNA 2019: Speakers and Topics   AI innovations from industry leaders, AI...Read more

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Pioneering-machine-learning-techniques-in-3d-printing-and-radiology

2019 11 Nov

3D printing applications in radiology – an early adopter of this technology – are poised to grow rapidly with availability of new, more flexible materials and pioneering machine learning techniques. The advancement in the nature of materials available can be considered as one of the biggest developments in 3D printing, according to experts...Read more

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Automated-deep-learning-in-healthcare

2019 10 Sep

Physicians' expertise is founded on medical science and many of them may not have much familiarity with artificial intelligence (AI) techniques, now fast becoming "de rigueur" in medical practice. But, thanks to automated deep learning, even clinicians that aren’t experts in AI may be able to create AI algorithms that can help them with early detection...Read more

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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

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Machine-learning-cuts-mammogram-volume-radiologists-need-to-read

2019 05 Jun

Over 40 million mammography exams are conducted in the United States every year, with the volume of images growing exponentially. Radiologists workloads further increase with the implementation of innovative screening technologies like digital breast tomosynthesis (DBT) that require more reading and testing time, increasing the pressure to deliver...Read more

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Google-northwestern-ai-finds-cancer-before-radiologists

2019 21 May

Google and Northwestern scientists show precision of new deep learning system to predict lung cancer An artificial intelligence system, using deep learning, successfully detected malignant lung nodules on low-dose chest computed tomography (LDCT) scans, performing equal to, or better than expert radiologists, according to a new study from...Read more

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Icnc2019-machine-learning-predicts-sudden-death-in-heart-failure-patient-for-the-first-time

2019 14 May

Artificial intelligence ( AI ) has shown promise to select heart failure patients for expensive treatments to prevent lethal arrhythmias , reports a study presented at ICNC 2019. The study is the first to use a machine learning algorithm to predict sudden death in heart failure patients . The International Conference on Nuclear Cardiology and...Read more

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New-ai-tool-predicts-breast-cancer-risk

2019 07 May

Identifying women at risk for breast cancer is a critical component of effective early disease detection . Available models that use factors such as family history and genetics are inadequate in predicting an individual woman's likelihood of being diagnosed with the disease. Researchers from two major institutions have developed a new...Read more

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Imaging-computer-model-is-cancer-google-maps-of-tumour-behaviour

2019 07 May

Johns Hopkins Medicine researchers develop an image-based computer model of tumour behavior that captures more of the complexity of cancer growth Researchers at Johns Hopkins Medicine have created a similar approach to the one used by the navigation application  "Google Maps" to help more accurately compute and visualise the structural and...Read more

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Machine-learning-can-automate-charting-using-patient-doctor-conversations

2019 26 Mar

Automating symptoms recording clerical aspects of medical record keeping through speech recognition during a patient’s visit 1   could allow physicians to dedicate more time directly with patients, according to a new report published in JAMA Intern Med . Researchers considered the feasibility of using machine learning  to automatically populate...Read more

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Ecr2019-5-year-success-eurosafe-imaging

2019 06 Mar

EuroSafe Imaging celebrated 5 years of success in it’s mission to support and strengthen medical radiation protection across Europe following a holistic, inclusive approach with a dedicated series of sessions, activities and events during this year’s European Congress of Radiology . The flagship initiative created by the European Society of...Read more

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Ecr2019-passes-torch-to-ecr2020

2019 06 Mar

Incoming European Society of Radiology  president Boris Brkljačić 's announces his vision for ECR2020. True to tradition, on the last day of the ECR2019, incoming ESR President Boris Brkljačić, professor of radiology and vice-dean at University of Zagreb School of Medicine, Zagreb, Croatia, and chair of the Department of Diagnostic and Interventional...Read more

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Ecr2019-imaging-informatics-management-performance

2019 06 Mar

Professor Luis Donoso-Bach , head of the department of medical imaging, Hospital Clinic of Barcelona, presented the keynote lecture “ Artificial Intelligence and Machine Learning Informatics: management and performance analysis.” It his poignant and informative presentation he emphasised “ the race is on” as the roles in the healthcare continuum...Read more

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Artificial-intelligence-in-2019-where-we-are-now

2019 22 Mar

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The-promise-of-ai-in-radiology

2019 30 Jan

Needless to say, radiology plays a critical role in healthcare delivery. It is rare for a patient to pass through a hospital without requiring the opinion of a radiologist somewhere along their journey – be it in triaging patients in the ER , assessing the need for treatment, or evaluating the effectiveness of treatment.  Equally important is...Read more

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Eusomii-annual-meeting-2019

2019 18 Oct

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Teaching-radiologists-machine-learning-ai

2018 11 Dec

Radiology is being transformed by the exponential growth of machine learning and continuously emerging technologies like deep learning, part of the artificial intelligence (AI) revolution in the imaging field.  Medical imaging and operations applications are transformed as new methods and algorithms are introduced into radiology’s daily practice. ...Read more

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Hacking-the-ai-to-protect-imaging-devices

2018 04 Dec

Radiology and medical imaging is continuously experiencing rapid enhancements including quality of patient care as a result of uncovering new aspects of the vast potential of artificial intelligence implementation in clinical practice. As more hospital medical imaging equipment connects to the internet, cyberattacks and malicious software vulnerabilities...Read more

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Radiology-s-future-outside-the-box-literally

2018 02 Dec

The tight roped tug of war concerning artificial intelligence and exponential technologies like deep learning and machine learning has been pulling at radiology for years. There are those fearing the dark side- new technologies as the ‘big bad’ machines that will rise up and exterminate the radiologist, the shining happy radiologists that see unicorns...Read more

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Machine-learning-red-dot-model-for-flagging-abnormal-radiographs

2018 14 Aug

UK researchers have demonstrated the application of a machine learning-based "red dot" model to classify chest radiographs as normal or abnormal, with 94.6% accuracy. Its application to real-world datasets may be warranted in optimising clinician workload in the face of expanding demand, according to the researchers. Their work is published in...Read more