Search Tag: machine learning
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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