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.
Karolinska University Hospital is among the most transparent hospitals worldwide. Using AI, the hospital can accurately demonstrate where lives have been saved, and harm avoided for patients.
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.
The journey of a baby through the birth canal can be fraught with obstacles and risks. A new AI-based tool to evaluate the head position of the baby could lead to fewer childbirth complications.
Royal Philips announced a major advance in radiation oncology with 510(k) clearance from the US Food and Drug Administration (FDA) for its new detector-based spectral CT radiotherapy solution.
PET/CT image analysis using artificial intelligence (AI) can predict the occurrence of interstitial lung disease, a serious side effect of immunotherapy in lung cancer, a new study shows.
Swift Medical, a pioneer in digital wound care, has unveiled its new Skin & Wound 2 platform.
Radiology AI products are a whole new world. So is running them safely and efficiently in production. At the 2024 Society for Imaging Informatics in Medicine (SIIM) Annual Meeting, an expert outlined how new skills and resources are needed to use these AI tools – and how PACS administrators could evolve their position to fit this important role.
How can innovations help to master challenges and demands in healthcare? This central question will be addressed at the Medica Health IT Forum, an established part of the programme at the trade fair.
UK scientists are harnessing the power of AI to assess the antimicrobial resistance of patients in intensive care units (ICUs) and identify sepsis-causing bloodstream infections.
Early detection is crucial for effective treatment of colorectal cancer, but the initial stages are easily missed during endoscopy screenings. With GI Genius, Medtronic presents an AI-powered tool to help detect precancerous lesions in real-time. In an upcoming large-scale trial, the intelligent endoscopy module will demonstrate its benefit in the clinical context.
Recent developments in deep learning techniques are enhancing clinical imaging quality and reducing radiation exposure for patients while also maintaining diagnostic accuracy. The latest AI (artificial intelligence) component to clinical imaging – referred to as deep learning reconstruction (DLR) – is having a particular benefit in paediatric imaging, according to Dr Samuel Brady from…
The year: 2034. Breast cancer patients benefit from perfectly personalised diagnostics and therapies. The tedium of follow-up treatments is a thing of the past, thanks to AI, augmented reality and robotics. Just a tale from the realm of science fiction, or could this soon be clinical reality? At the annual meeting of the German Senologic Society, Prof Dr Marc Thill from the Agaplesion Markus…
Increasing implementation of robotic automation and AI will speed up scientific progress in science laboratories, according to a new study. The experts outline this process across distinctive levels.
United Imaging launches the uMI Panvivo, the uMI Panorama GS and Nuclear Medicine AI Solution at EANM, and announces strategic partnerships, reinforcing its commitment to advancing molecular imaging in Europe and beyond.
A newly-developed wearable camera system is designed to detect potential errors in medication delivery by identifying contents of vials and syringes with the help of deep-learning AI.
The study offers valuable insights into the impact of AI technologies on everyday clinical processes. Above all, however, the study calls for clearly structured future research.
How do the three large protein complexes – the ribosome, the SKI complex and the exosome – interact? A team of scientists led by Elena Conti reveals this question in their current study.
Minimally invasive surgical interventions, innovative imaging and the use of AI: At the upcoming EUSOBI congress in Lisbon, experts present and discuss the latest advances in breast imaging. We spoke with Tanja Brycker from Hologic ahead of the event about new trends in women’s health, the company’s investment in innovation and education, and what the future of mammography looks like with the…
Measuring the calcium build up in the arteries of the breast, researchers have developed an AI-generated score for predicting cardiovascular disease in women from their mammograms.
