Electronic patient records, diagnostic values, study cohorts: data management has become a central component in healthcare - in diagnostics and therapy as well as in medical research.
MRI is an essential tool for clinicians, but the variability of image acquisition protocols is a challenge for achieving consistent and reliable interpretation. A new study intends to fix this issue.
The boom in interventional radiology procedures has enabled great strides in ischemic stroke management. But while a myriad of techniques are available, the challenge remains in choosing the most appropriate thrombectomy treatment on the spot, according to Jordi Blasco Andaluz, a neuroradiologist at Hospital Clinic Barcelona. The new ROSSETTI registry is designed to change this.
A survey found that many Americans use a device to monitor their heart, but few share that data with their doctor. Cardiologists explain when findings should be discussed with a medical professional.
Anyone who has exchanged a few lines of dialogue with a large language model (LLM), will probably agree that generative AI is an impressive new breed of technology. LLMs show great potential in addressing some of the most urgent challenges in healthcare. At the Medica tradefair, several expert sessions were dedicated to generative AI, its potential medical applications and current caveats.
Can an AI determine whether or not a person drinks beer by looking at their knee X-rays? It can't – but the claim shows why “shortcut learning” is such a dangerous mechanism in medical AI.
In the world of theatre, the ‘deus ex machina’, the god from the machine, is a dramaturgical trick to resolve seemingly unsolvable conflicts. Can artificial intelligence (AI) also be such a universal problem solver for internal medicine? At the Annual Congress of the German Society of Internal Medicine (DGIM), Dr Isabella Wiest explored the potential – and limitations – of AI helpers.
A new study investigating the impact of AI in healthcare shows that using LLMs to process thousands of patient records daily across multiple hospitals could lead to substantial resource consumption.
Handheld point-of-care diagnostics, magnetic endoscopy, AI-enhanced robotic surgery, smart patient information management, wireless minimally invasive surgery systems, and much more: At the Medical Taiwan Health & Care Expo in Taipei this summer, visitors had the opportunity to see innovative medical products and solutions across a wide range of specialties. We took a closer look at selected…
The pace of artificial intelligence (AI) adoption in personalised medicine is unsettling for great parts of the public. A new survey reflects the worried state of mind in the UK.
The huge amount of data generated by modern MRI scanners presents challenges in storage, accessibility, and security. To that end, Chinese researchers have developed a cloud MRI system.
Scientists show that health registry data can be used to predict individual risks for the 20 most common cancer types. This could help to identify high-risk groups and enrol them for screenings.
‘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.
In a new article, digital health experts discuss how medical data from citizens could be used for research in the future while respecting personal rights.
UK law changes threaten the security of messaging apps – and their use in the NHS. Doctors warn that patient care will suffer if they can no longer use apps such as WhatsApp to share information.
Researchers have developed software able to disguise sensitive data in health care applications. This protects privacy while making datasets available for development of better treatments.
The climate crisis and AI – arguably two of the most hotly-debated and relevant topics of our time – share an intricate relationship: While computation of complex AI routines commands an immense carbon footprint, it is these algorithms that might be the very key to mitigate the effects of global warming. In a dedicated session at ECR 2023, radiologists explored the societal and environmental…
Machine learning and AI are playing an increasingly important role in medicine and healthcare, and not just since ChatGPT. This is especially true in data-intensive specialties such as radiology, pathology or intensive care. The quality of diagnostics and decision-making via AI, however, does not only depend on a sophisticated algorithm but – crucially – on the quality of the training data.
A new artificial intelligence (AI) model combines imaging information with clinical patient data to improve diagnostic performance on chest X-rays, a new study finds.
What will the future structure for artificial intelligence in health imaging across Europe look like? While the algorithms show great promise in collecting, storing, analysing, and using data to advance healthcare, delegates to a session on the topic at ECR 2023 in Vienna, also heard that it was important for the use of AI to move from research and more toward practical applications for patients.…
