Artificial Intelligence (AI) could identify patients at increased risk of side effects from radiation treatment for breast cancer, according to researchers at the University of Leicester.
AI can analyze breast mass images from low-cost portable ultrasound machines and accurately identify cancer, according to a new study. This could prove useful for triage in low-resource settings.
Clinicians in an intensive care unit need to make complex decisions quickly and precisely, monitoring critically ill or unstable patients around the clock.
For patients with human papilloma virus associated oropharynx cancer, assessing the presence of cancer cells beyond the lymph nodes is critical in determining proper treatment.
A new artificial intelligence model could bring much-needed clarity to doctors delivering prognoses and deciding on treatments for patients with colorectal cancer.
Doctors across all disciplines, with assistance from artificial intelligence, may soon have the ability to quickly consult a patient's entire medical file against the backdrop of all medical health care data and every published piece of medical literature online.
As ChatGPT becomes more popular among those seeking health advice, researchers try to find out whether the information provided by the AI chatbot is reliable and accurate.
Chatbots become popular resources for cancer information - but are their results accurate? Researchers evaluated the reliability of ChatGPT’s cancer information.
A new paper describes how generative AI text-to-image models such as DALL-E 2 could represent a promising future tool for image generation, augmentation, and manipulation in health care.
An artificial intelligence tool can accurately identify normal and abnormal chest X-rays in a clinical setting, according to a new study. The tool identified abnormal X-rays with a 99.1% sensitivity.
The future of medical imaging will be shaped by AI, according to an expert panel hosted by Bayer at ECR in Vienna. Participants explored key trends in radiology and how AI innovation can help patients and their treating physicians.
A pioneering new method to assess the quality of organs for donation has the potential to revolutionise the transplant system, saving lives and tens of millions of pounds.
Predicting a Covid-19 infection from the sound of a cough? Researchers found that technology using Machine Learning performed no better than simply asking people to report their symptoms.
Carestream Health is funding and participating in an innovative pilot with OSIC that could lead to radiographs providing an early window into manifestations of IPF that are currently undetected.
US researchers are developing a highly accurate machine learning model for early detection of mild cognitive impairment and dementia in older drivers.
After 25 years of AI health tech research, computers are slowly beginning to listen to patients. This is the conclusion of a review of a quarter of a century's worth of studies on the topic.
Italian biomedical and imaging company Esaote will be present at the ECR radiology congress in Vienna on March 1st - 5th, Expo X5 - Booth 517, to show its latest ultrasound, MRI and medical IT.
Researchers from the University of Liverpool have tested whether the AI-powered chatbot ChatGPT could be used to make decisions about prescribing patients with antibiotics.
Philips is an active participant in the new European Federation for Cancer Images consortium (EUCAIM) – a project launched in the run-up to World Cancer Day 2023.
Italian imaging company Esaote premiered its latest premium ultrasound system, MyLab X90, which uses AI for workflow optimization and enhanced connectivity.
Combining single-cell data with a self-learning algorithm reveals how structural changes in chromosomes can trigger cancer. This could pave the way for personalized cancer treatments.
Medical imaging company Carestream Health has expanded its portfolio with 20 new patents for global advances in AI, image quality, digital radiography (DR) detectors and mobile imaging.
Healthcare Automation and Digitalization Congress 2023 is held on September, 25-26, 2023, in Zurich, Switzerland. Automa+ 2023 gathers leaders and digital experts from hospitals, healthcare providers and pharmaceutical companies with the main aim to drive the healthcare industry towards successful digital transformation.
The distinction between primary tumors and metastases can be made quickly and accurately in brain tumors using radiomics and deep learning algorithms, a new study shows.
Bayer announced the acquisition of Blackford Analysis Ltd., a global strategic imaging platform and solutions provider for artificial intelligence (AI) in radiology.