Artificial Intelligence (AI) remains a divisive topic within the discipline of pathology with a range of opinions over its current value and applicability in clinical settings. While most experts agree that the technology will not replace pathologists, it might still spell bad news for those who do not embrace AI in their daily practice. On the other hand, reservations persist about whether…
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.
Researchers have succeeded in identifying patterns of response to treatment in patients with multiple myeloma using AI tools, which helps to accurately predict the evolution of the tumor.
ChatGPT has brought generative AI to the mainstream – and into many GP practices as well, a new study suggests. The work points out the risk of doctors using AI without clear guidance or policies.
Early detection and management of asthma and COPD is critical. US researchers have developed a deep learning model paired with a wearable sensor patch to automatically detect wheezing sounds.
A US-Swiss team leverages AI and molecular simulations to uncover new pathways for precision cancer treatments, paving the way for more effective, personalized therapies.
An AI-enabled digital stethoscope could help doctors identify twice as many cases of heart failure during pregnancy compared to regular obstetric care and screening, acording to a new study.
“Is ecological also economical” was the theme of a webinar organised as part of the German Radiology Congress (RÖKO). Four experts discussed how artificial intelligence (AI) can be used to reduce energy consumption and discussed whether the trend towards ever faster and better magnetic resonance imaging scanners is justified.
In a recent study, researchers proposed a novel technique to help make stained histopathological image datasets more useful for many emerging machine-learning-based classification systems.
With enough medical training data, AI can predict health conditions with astounding accuracy. Now, researchers want to use brain scans of the entire Scottish population to have an algorithm early detect dementia.
Researchers have developed an artificial intelligence which can differentiate cancer cells from normal cells, as well as detect the very early stages of viral infection inside cells.
Cologne researchers have developed an AI-based digital pathology platform to enable extremely fast and accurate fully automated analysis of tissue sections from lung cancer patients.
Radiology practices have a high volume of chest X-rays without clinically significant finding, which take up a lot of time. A new AI tool could improve workflows by providing an automatic report.
Artificial intelligence (AI) can be used to great effect in colonoscopies to spot abnormalities potentially leading to bowel cancer. This is the result of the recently completed COLO-DETECT trial.
Enter symptoms into ChatGPT, receive an accurate diagnosis? Research reveals that LLM AI models are not quite there yet, struggling to identify genetic conditions from patient-written descriptions.
Artificial Intelligence will be a critical component in ensuring a Europe-wide lung cancer screening programme can achieve its potential, according to speakers at a special ECR 2024 session. Delegates heard that the SOLACE project (Strengthening the screening of Lung Cancer in Europe) will be supported by AI in terms of workflow, diagnostics, and image and data analysis.
