Search Tag: machine learning
2022 23 Feb
CLARA Analytics (“CLARA”), the leading provider of artificial intelligence (AI) technology in the commercial insurance industry, has announced that it has selected Gabe Cossio as the new Vice President of Sales. Cossio will play a lead role in executing CLARA’s aggressive growth strategy as the organization scales up to meet mounting demand. Cossio’s...Read more
2022 25 Jan
An observational, multicohort, retrospective study was conducted to validate two machine-learning clinical classifier models for assigning acute respiratory distress syndrome (ARDS) subphenotypes. Two ARDS subphenotypes with distinct biological and clinical features and differential treatment responses have been identified in seven individual cohorts....Read more
2022 08 Mar
Workshop day: March 8 Conference days: March 9-10 Find Reinforce on Social Media Read more
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
2021 04 Oct
A recent article, published 30 September in the Journal of the American College of Radiology , explored post-regulatory pharmacovigilance issues associated with radiological practice AIs and strategies for choosing ideal solutions. AI algorithms in clinical use are increasing. The US FDA has cleared over 100 commercially available AI algorithms...Read more
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
2021 12 Mar
A new study describes a three-stage machine-learning approach to automated surgical skill assessment in laparoscopic cholecystectomy videos . You might also like: L eading experts including Jorge Juan Fernández (EIT Health), John Halamka (Mayo Clinic) and medical futurist Bertalan Meskó discussed the opportunities and challenges of...Read more
2021 07 Mar
A group of Spanish researchers present the results of their work on applying natural language processing (NLP) techniques for electronic health record analysis and specific data extraction. You might also like: A vendor-neutral, open-source, natural language approach of EHR data is suggested by a team of U.K. researchers, to help...Read more
2021 12 Feb
How does artificial intelligence perform in diagnostics of skin melanoma and compare with a dermatologist’ assessment? You might also like: Deep Mining for Determining Cancer Biomarkers A team of researchers from the University of Gothenburg has trained an ML algorithm to identify the risk of metastasis in skin melanoma and evaluated...Read more
2021 14 Jan
Deep learning models are more efficient at discerning patterns and discriminative features in brain imaging than standard machine learning models, a new study shows ( Abrol A et al. 2021) . You might also like: Radiomics in the Imaging of Brain Gliomas: Current Role and Future Perspectives Researchers at the Center...Read more
2021 14 Jan
A new systematic review (Syeda et al. 2021) analyses artificial intelligence (AI) -based methods utilised to tackle the pandemic and provides insights into different COVID-19 themes. You might also like: AI Tool Helps to Reduce COVID-19 Mortality Since the onset of the COVID-19 pandemic, many healthcare organisations have...Read more
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
2020 28 Sep
Artificial intelligence developments in machine and deep learning are benefitting from the experience of COVID-19 to pave the way for future pandemic outbreaks. Key Points The generalised use of big data in healthcare implies a revolution that is reshaping the industry as we know it. Artificial intelligence...Read more
2020 16 Jul
The adage ‘necessity is the mother of invention’ is all the more true during the COVID-19 pandemic, when scientists are racing to find new vaccines and treatments. Early diagnosis of the disease is another area that needs to be given more focus, since timely and accurate detection of patients with COVID-19 means appropriate therapy can be initiated...Read more
2020 26 Jun
A new collaboration between German and Canadian institutions has been launched with a goal to develop a high-resolution 3D map of functional neuroanatomy using artificial intelligence and high-performance computing. You might also like: AI in medical imaging may make the biggest impact in healthcare The new...Read more
2020 29 May
An online tool simulates COVID-19 exit strategy planning for nearly 100 countries assessing various restrictive measures implemented in different countries around the world. You might also like : Simulation Predicts COVID-19 Hospital Capacity The tool, called COVID-19 Adaptive Exit Strategies Simulator, has been developed by a...Read more
2020 20 Feb
Digital technology has become an integral part of healthcare and is all set to revolutionise the practice of medicine. Digital technology has greatly improved operational efficiency with respect to standards of medical care. The transformation has significantly enhanced the overall experience of both healthcare professionals and patients. Some...Read more
2020 20 Feb
Despite significant advances in the diagnosis and management of cardiac disease, cardiovascular disease continues to have high morbidity and mortality. In some cases, the diagnosis is delayed, while in others, the diagnosis is mistaken for another disorder. Advanced technology and machine learning have opened up new opportunities to evaluate image-based...Read more
2020 29 Jan
In 10 years, the healthcare system will be a different beast. The power of technology and data will change the way we face the current challenges driving us towards more integrated care based on population health and value, with increased patient engagement. This all means the old healthcare provision paradigm is crumbling. Not that hospitals will...Read more
2020 29 Jan
HealthManagement.org rounds up exciting developments that have all the characteristics of game-changers for healthcare. What do you think? AI Breast Cancer Diagnosis Matches Two Doctors A study suggested that AI diagnoses breast cancer from mammograms more accurately than radiologists.A computer, specially designed and trained by...Read more
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
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
2020 15 Jan
Critical Care Ultrasound (CCUS) has progressed by leaps and bounds, and will continue to push boundaries, with techniques being modified to suit evolving clinical needs and new applications. Introduction With roots traceable to sonar technology developed for underwater listening and submarine detection, the era of medical ultrasound...Read more
2020 15 Jan
Improving early recognition of sepsis in the Neonatal Intensive Care Unit using machine learning models and electronic health record data. Neonatal Sepsis - Incidence and Outcomes Despite advances in knowledge and medical care, sepsis remains a major cause of morbidity and mortality in infants worldwide, claiming the lives of one...Read more