With the help of artificial intelligence, computers are to simulate human thought processes. Machine learning is intended to support almost all medical specialties. But what is going on inside an AI algorithm, what are its decisions based on? Can you even entrust a medical diagnosis to a machine? Clarifying these questions remains a central aspect of AI research and development.
An algorithm developed using artificial intelligence could soon be used by doctors to diagnose heart attacks with better speed and accuracy than ever before, according to new research.
At the EACVI congress in Spain, medical imaging specialist Esaote unveiled, among other solutions, its new portable ultrasound system MyLabOmega eXP, which features advanced cardio tools and AI-powered automation.
An artificial intelligence developed at TU Wien (Vienna) can suggest appropriate treatment steps in cases of blood poisoning. The computer has already surpassed humans in this respect.
Most AI techniques for rare disease diagnosis use anthropometric measurements of European origins, ignoring the genetic and morphological diversity of humans, a new study finds.
Ever-more sophisticated robots are advancing healthcare across a wide range of areas. Latest developments and research are being showcased in London from May 29 to June 2 at the 40th International Conference on Robotics and Automation (ICRA). The event is set to be the world’s largest gathering on robotics and automation with pioneers, inventors and innovators coming together with academics,…
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.
