Search Tag: machine learning
2024 05 Apr
A team of Google scientists has unveiled a groundbreaking machine-learning tool named Health Acoustic Representations (HeAR) designed to detect and monitor various health conditions by analysing sounds like coughing and breathing. This innovative artificial intelligence (AI) system, trained on an extensive dataset comprising millions of human audio...Read more
2024 18 Mar
Recent advancements in artificial intelligence (AI), particularly machine learning (ML), have been successfully integrated into healthcare applications, showing promise in risk prediction, disease diagnosis, and sub-phenotyping. The widespread adoption of electronic health record (EHR) systems has provided a wealth of real-world data (RWD) for...Read more
2024 18 Mar
Social needs and social determinants of health (SDOH) are significant factors influencing clinical outcomes, yet they are often under-documented in healthcare systems' electronic health records (EHRs). Currently, the majority of data regarding social needs and SDOH challenges within EHRs are captured as unstructured medical notes rather than structured...Read more
2023 12 Oct
As we step into the futuristic landscape of 2023, the healthcare sector is buzzing with the melody of Artificial Intelligence (AI). This melody harmonizes with the rhythm of Machine Learning (ML) and the lyrics of Natural Language Processing (NLP), orchestrating a healthcare revolution that's nothing short of a masterpiece. Here's a look at how these...Read more
2023 08 Jun
In an interesting session at HIMSS this week, Bejyamin Deldar, Co-founder of Deep Medical. Medical Doctor and Researcher, Innovator and Clinical Entrepreneur Fellow at NHS England spoke about using artificial intelligence to understand patient compliance behaviours. He highlighted that globally, $9 trillion is spent on healthcare. However, nearly $300...Read more
2023 21 Apr
The Advocate Aurora Research Institute is using KelaHealth’s Surgical Intelligence Platform to combine the capabilities of artificial intelligence (AI) and machine learning (ML) to transform surgical care. The project aims to determine how much variation exists in surgical and patient outcomes, helping researchers to understand the types of...Read more
2022 21 Jul
Flashback Technologies Inc, an innovative digital healthcare company that uses artificial intelligence and machine learning technologies to transform basic physiological data into lifesaving and life changing vital signs, announced today that it has appointed Marcus Barkham as CEO. "Marcus brings over 20 years of senior executive experience in...Read more
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 08 Mar
Workshop day: March 8 Conference days: March 9-10 Find Reinforce on Social Media 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 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 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
2019 11 Nov
Technology continues to transform healthcare through increased efficiency in work processes, leading to better delivery of care. For the incoming year, 2020, expect growing applications of artificial intelligence and machine learning aimed at advancing disease risk prediction. Expanding AI use will likely have a ripple effect, such as in genomic...Read more
2019 07 Aug
Some artificial intelligence (AI)-based techniques are helping improve prediction of risks for certain diseases or disorders. Machine-learning models, for example, can be trained to find patterns ("features") in patient data and then determine a patient's risk of having lung cancer. You might also like: Machine Learning to Recognise Cardiac...Read more
2019 12 Apr
Students attending a computer science seminar at the Technical University of Munich (TUM) recently embarked on an interesting scientific mission: predicting which character in the Game of Thrones would have the best chance to sit on the Iron Throne! In order to do this, these students developed an application that scours the web for data related...Read more
2019 06 Mar
Amazon Web Services (AWS) is supporting machine learning in patient care at Beth Israel Deaconess Medical Center (BIDMC) with an academic research grant. With a range of AWS machine learning services, the Harvard Medical School -affiliated teaching hospital will explore new ways that the technology can enhance clinical care,...Read more
2019 22 Feb
Artificial Intelligence Exhibition makes Grand Debut at this year’s ECR Making its grand debut at this year’s ECR, the Artificial Intelligence Exhibition (AIX) will bring AI to the heart of Europe’s biggest radiology congress and technical exhibition. Canon Medical is proud to have reached the sponsorship agreement of the AIX Theater. As...Read more
2019 29 Jan
Data forms an important part in clinician decision-making. This is one reason electronic health records serve as a useful and easy-to-access source of patient data and other information needed by care teams. How to make the most of valuable patient data in EHRs and put it to work for better personalised care will require more advanced technologies,...Read more
2018 07 Dec
Healthcare is seeing increased use of machine learning tools, which allows medical professionals to do their jobs more efficiently. A prime example is how machine learning has helped improve accuracy of a health system's readmission risk prediction model, resulting in a significant reduction in case managers' work hours. Bon Secours Charity Hospital's...Read more
2018 22 Nov
Amazon Web Services (AWS) has announced that Amazon Translate, Amazon Comprehend and Amazon Transcribe are now HIPAA eligible services. Through using machine learning, AWS provider and patient clientele can leverage data insights to deliver better healthcare outcomes. AWS HIPAA eligible services enable use of the secure AWS environment...Read more