Adding a new dimension to pathology: Researchers explore new, deep learning models that can use 3D pathology datasets to make clinical outcome predictions for curated prostate cancer specimens.
‘Computer, why did the doctor take that MRI scan of my leg? And what did it show?’: Popularized by OpenAI’s ChatGPT, generative artificial intelligence (AI) is already beginning to see practical applications in medical settings. The technology holds immense potential, with benefits for patients, clinicians, and even hospital administration, according to Shez Partovi, MD.
Researchers have developed a deep-learning model that predicts the transition from a normal cardiac rhythm to atrial fibrillation 30 minutes before onset, with an accuracy of around 80%.
Coronary artery disease causes more than 1.8 million heart attacks each year in Europe. In most cases, rehabilitation helps the patients to return to their everyday life. But what happens once the patients have left the rehab clinic?
A study highlights performance differences in computational pathology systems, depending on demographic profiles associated with histology images. The researchers also propose a way to fix this bias.
Generalist Medical Artificial Intelligence (GMAI) models pose a significant challenge to current regulatory frameworks. Experts discuss how regulation of these models could work in the future.
Experts at Newcastle University have discovered artificial intelligence can be used to analyse medical imaging from CT scans, which is aimed at predicting survival in patients with laryngeal cancer.
A team of Danish and Dutch researchers has combined an AI diagnostic tool with a mammographic texture model to improve the assessment of short- and long-term breast cancer risk. This new approach represents a significant step forward in refining the ability to predict the complexities of breast cancer risk.
Matching the right donor heart to the right recipient at the right time is a complex task. Now, experts point out how AI can provide unbiased decision-support for transplantation process.
Large language models like ChatGPT have become a go-to point for health information. However, a new study uncovers a vital weakness: The AI gets confused when faced with actual scientific evidence.
Osteosarcoma is the most prevalent malignant bone tumor. Now, researchers have developed a machine-learning model to predict the density of viable tumor cells after surgery and chemotherapy treatment.
Could a chatbot-like AI tool locate brain damage after a stroke? In a new study, large language model GPT-4 processed text from health histories and neurologic examinations to locate brain lesions.
Can generative AI reduce the administrative burden on healthcare professionals? In a new study, chatbot model ChatGPT shows high aptitude in producing medical record notes.
Using ultrasound imaging to detect Covid-19 infections, a new automated detection tool could help doctors in the emergency room diagnose patients quickly and accurately.
Radiologists and AI don’t always work well together: New research finds that the benefits of using AI tools appear to vary, boosting performance of some clinicians, but hurting others'.
Some year in this decade, AI tools will become ubiquitous within clinical laboratories. AI has the potential to increase the accuracy of laboratory testing and improve the quality and efficiency of operations and service of testing labs.
Warfarin is sometimes prescribed after heart surgery, but getting the dose right requires a personalised approach for each patient. A new AI tool is designed to help with this complex task.
Awareness of the importance of women’s health is on the rise, but many challenges remain: At ECR 2024 in Vienna, we spoke with Hologic about their continued evaluation of healthcare efforts for women. At the congress, the company also shared how AI could be used to mitigate the effects of medical staff shortage.
A novel AI-based, non-invasive diagnostic tool enables accurate brain tumor diagnosis, outperforming current classification methods. The tool leverages MRI information to aid clinical decision making.
Pulse oximeters delivering poorer results in people with darker skin tones, underdiagnosis of cardiac conditions in women: some medical devices are not as fair as the ought to be, a new review finds.
Researchers work on the first prototype that applies AI to colorectal diagnosis. The prototype achieved a diagnostic acuity of 93.44% and a sensitivity of 99.7% in the detection of high-risk lesions.
United Imaging showcased its full portfolio of AI-empowered products at the ECR 2024 in Vienna. The company highlighted its significant EU growth since establishing its regional HQ in 2019.
Artificial Intelligence has helped scientists reveal a new form of aggressive prostate cancer which could revolutionise how the disease is diagnosed and treated in the future.
As artificial intelligence (AI) is increasingly used in radiology, researchers caution that it’s essential to consider the environmental impact of AI tools.
Hologic, Inc. unveils new research in artificial intelligence (AI) and offering innovative educational opportunities at the annual European Congress of Radiology (ECR) in Vienna, Austria.