Radiology is inextricably linked with AI – but what should the future of the technology be for medical imaging? Five leading societies have published a joint paper addressing the challenges.
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…
Certain genetic features are crucial for treatment decisions for AML leukaemia. A team from Münster shows how an AI-based method can predict these features from images of bone marrow smears.
With the help of AI, a team at Caltech has designed a new type of catheter tube that impedes the upstream mobility of bacteria, without the need for antibiotics or chemical antimicrobial methods.
If healthcare professionals could get support making fast-paced, life-critical decisions from an AI tool, more lives could be saved, according to new research results from Sweden.
A feasibility study by Swiss researchers shows that AI systems are able to reliably predict therapeutic success in patients with borderline personality pathology by detecting emotions on their face.
The Automa+ 2023 congress has brought fascinating insights into the pharmaceutical landscape. This article distills highlights from the congress, illuminating the paradigm-shifting strides that are set to propel the pharmaceutical industry into a future characterized by interconnected, empathetic, and forward-thinking practices.
Can AI help better evaluate images of brain tumours? A publication from German researchers on this topic presented at this years' ICIS conference won the Best Paper Award.
A powerful tool, but the need for human judgment remains: In an editorial published in PNAS Nexus, Monica M. Bertagnolli assesses the promise of AI and machine learning to study and improve health.
Using AI and optoacoustic imaging, researchers have developed a new method to assess microvascular changes in the skin – and thus the severity of diabetes in the patient.
AI plays an increasingly important role in medicine – and this should also be reflected in medical curricula. New work from an international team suggests how this could be done.
While having more centers adopt digital breast tomosynthesis (DBT) for breast cancer screenings into their practice is a positive change, it also presents some challenges for radiologists—particularly the increased number of images for radiologists to review. This challenge has paved the way for AI to offer innovative workflow solutions for radiologists that do not sacrifice accuracy.
Researchers explored the potential of two generative AI models for answering clinical questions and literature selection for medical research – one fared signifcantly better than the other.
Research from Shenzhen proposes an integrated diagnosis model for automatic classification of adult-type diffuse gliomas directly from annotation-free standard whole-slide pathological images.
A new deep-learning approach to AMR testing has been shown to detect antimicrobial susceptibility within as little as 30 minutes - significantly faster than current gold-standard approaches.
Incidence of lung cancer among people who never smoked is rising. A new AI tool opens the door for opportunistic screening for this group, using existing chest X-rays in the electronic medical record.
AI features for automation, integrated systems and more: the role of medical technology has never been as vital as today, and MedTech companies from Taiwan are putting their best foot forward to contribute. At the 2023 Medica trade fair, visitors of the Taiwanese pavilion not only had the opportunity to see the latest medical products on display, but also get acquainted with Taiwanese culture in…
Sure, AI still has a long way go. But maybe one day in the not-so-distant future, AI will provide us with information about our current state of health, such as the number of red blood cells, cholesterol levels, fat percentage, and how many seconds last night's beer will shorten our life expectancy.
Bioethics researchers call on medical societies, government leaders, clinicians, and researchers to work together to ensure AI-driven healthcare preserves patient autonomy and respects human dignity.
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.
Researchers from Osaka University present a novel technique to detect different coronavirus variants quickly, including fast-spreading strains present in human saliva.
Philips and Quibim have signed a multi-year agreement to work on an integrated solution including an AI-based software to automate real-time prostate gland segmentation in MR images.
Researchers from Finland have developed an artificial intelligence tool for automatic colorectal cancer tissue analysis that outperforms prior methods.
A new research collaboration aims to develop a forward-looking AI application to detect gender-specific symptoms earlier and further reduce mortality from heart disease, especially among women.
Voice pathology detection (VPD) can detect abnormal vibrations in the vocal cords caused by conditions like cancer and cysts. Now, researchers have found a way to make the method more reliable.