Photo:

AI

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.

Photo

News • Study on chatbot reliability and accuracy

Can you count on ChatGPT for cancer information?

Chatbots become popular resources for cancer information - but are their results accurate? Researchers evaluated the reliability of ChatGPT’s cancer information.

Photo

News • Deep learning text-to-image

Can AI image generator DALL-E 2 advance radiology?

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.

Photo

News • Artificial intelligence in radiology

AI accurately identifies normal and abnormal chest X-rays

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.

Photo

News • Expert roundtable at ECR 2023

How AI will shape the future of radiology

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…

Photo

News • OrQA

Transplant organ quality assessment via AI: a promising approach

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.

Photo

News • Study shows lack of reliability

Can an AI predict Covid-19 from cough sounds? Not really, study finds

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.

Photo

Article • Centralised image library and archive

From regional to national: digital pathology network transformation

Transforming a regional digital pathology network into a national programme across the UK has the potential to save the NHS around £100m a year. Such a network – one that sees a centralised digital pathology image library and archive, as opposed to individual hospitals having their own infrastructure and teams to manage it – can also offer a range of other benefits alongside significant cost…

Photo

Article • Image augmentation, interpretation and evaluation

AI in multimodality hybrid imaging: a diamond in the rough

AI-based models for multimodality hybrid imaging have the potential to be a potent clinical tool but are currently held back by a lack of transparency and maturity, says Dr Irène Buvat, from the Laboratory of translational Imaging in Oncology, Institute Curie in Paris, France. During a webinar of the European Society of Radiology, the expert provided a roundup on the benefits and current…

464 show more articles
Subscribe to Newsletter