News • Award-winning research publication
Evaluating brain tumours with AI
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.
AI
News • Technology assessment
AI in medical research: Promise and challenges
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.
News • Optoacoustic imaging method RSOM
AI tells diabetes severity from the skin
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.
News • Literacy on new technologies
Should AI enter medical education curricula? Yes, say students
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.
Article • Digital breast tomosynthesis
Transforming breast screening: The role of AI in improving reading workflow
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.
News • Battle of the AI large language models
Elicit: A better ChatGPT for medical research?
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.
News • WSI-based analysis
AI-driven classification of diffuse gliomas skips molecular testing
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.
News • Susceptibility detection in Escherichia coli
How AI can detect antibiotic resistance in 30 minutes
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.
News • Opportunistic screening using chest X-rays
AI identifies non-smokers at high risk for lung cancer
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.
Article • Trade fair presence
Taiwan blends tech and tradition at Medica 2023
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…
Article • Technology overview and outlook
AI in healthcare: Significant potential – and serious obstacles
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.
News • Interaction with cancer patients
Experts raise ethics concerns posed by patient-facing AI in oncology
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.
Article • Need for diversity in training datasets
Artificial intelligence in healthcare: not always fair
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.
News • Using AI nanopores
New rapid testing method for Covid-19
Researchers from Osaka University present a novel technique to detect different coronavirus variants quickly, including fast-spreading strains present in human saliva.
News • AI-based imaging and reporting solutions for MRI
Philips partners with imaging biomarker specialist Quibim
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.
News • Deep learning refinement
Colorectal cancer: AI tool improves diagnostic accuracy
Researchers from Finland have developed an artificial intelligence tool for automatic colorectal cancer tissue analysis that outperforms prior methods.
Article • Gender-specific symptoms
AI pilot project: Early detection of heart attacks in women
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.
News • Voice pathology detection
Detecting cancer from voice samples: improving the VPD method
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.
Article • Potential of large language models for nursing and health science education
ChatGPT: the next big thing in cardiology?
Hardly a day passes without new headlines about ChatGPT, the AI-powered large language model, and its potential applications in healthcare. First results have been somewhat sobering after the initial hype, with the AI’s “hallucinations” often replacing scientific truth. Still, Professor Philip Moons is convinced that the chatbot might bring actual benefits to nursing and health science…
News • New assessment method
AI system could help detect patients’ pain before, during and after surgery
An automated pain recognition system using artificial intelligence (AI) holds promise as an unbiased method to detect pain in patients before, during and after surgery.
News • Smart diagnostic support
Brain imaging: bringing CT up to par with MRI
A new AI method for CT brain imaging may bring the modality to the level of detail usually reserved for MRI scans. This could enhance diagnostic support for conditions such as Alzheimer's disease.
News • Medical diagnosis experiment shows
AI is biased – and humans 'inherit' their flaws
New research from Deusto University in Bilbao, Spain, provides evidence that people can inherit artificial intelligence biases (systematic errors in AI outputs) in their decisions.
News • Multimodal approach
Chest X-rays + patient data + AI = better diagnosis?
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.
News • Machine learning prognosis
Six numbers that predict life-threatening Covid-19
Researchers from Rutgers University developed a way to help hospitals identify life-threatening Covid-19 cases using machine-learning software. The algorithm identified six crucial parameters.
News • Chest X-ray evaluation
Human readers still outperform AI in lung disease identification
Reports of AI gaining the upper hand in diagnostic imaging interpretation are piling up, but there are still areas where the eye of a trained human radiologist remains superior.
