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.
The Pharmaceutical Automation and Digitalisation Congress (AUTOMA+) 2025 welcomes delegates to be a part of its 5th anniversary in Vösendorf, Austria on 24-25 November. This edition focuses on AI-powered pharma, robotics and smart digital solutions.
If data used to train AI models for medical applications differs from the real-world data, it could lead to patient harm. A new study found proactive strategies to mitigate such data shifts.
While generative AI shows immense potential for healthcare, a critical reliability issue lurks beneath the surface: LLMs don't think like doctors do, a data science expert explained at the Emerging Technologies in Medicine (ETIM) congress in Essen. This potentially fatal flaw, however, may be fixable, he suggested.
The new national Precision Omics Initiative Sweden (PROMISE) aims to generate and integrate extensive molecular data to create a model for precision medicine implementation for Sweden.
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.
