Overcrowded EDs and the escalating workload of nurses are pressing challenges in emergency medicine. While AI might not solve these problems, it could help staff mitigate them, new research suggests.
Healthcare stands at a crossroads. With an impending shortage of 11 million healthcare workers by 2030 and millions dying annually from poor-quality care, the industry desperately needs transformation. Dr. Alex Ng from Tencent Healthcare explores how artificial intelligence is emerging as a powerful catalyst—not to replace human expertise, but to amplify it.
This year, the Journées Francophones de Radiologie (JFR) will carry a clinical ambition as simple as it is essential: to shine a spotlight on those who are often overlooked. Under the presidency of Professor Mathieu Lederlin, thoracic radiologist at Rennes University Hospital, vulnerable patients will be at the heart of the annual meeting of the French Society of Radiology that will unfold…
Using AI to help detect one of the leading killers of women worldwide: A new machine learning model can successfully predict heart disease risk in women by analysing mammograms.
Misinterpreting the malignancy risk of lung nodules often results in high false-positive rates, unnecessary follow-ups, increased patient anxiety and healthcare costs. A new study suggests that AI can fix this.
Digital transformation, including AI, is key to improving healthcare services - but this may be easier said than done: A new UK study identifies hurdles for AI implementation in NHS hospitals.
To tackle the shortage of donor organs, researchers have developed a 3D printer that doesn’t just print implantable tissues, it also sees and even co-designs parts of organs.
Use of an AI voice agent to prompt self-reported blood pressure readings may help improve accuracy of at-home blood pressure measures and patient outcomes in older patients with hypertension.
AI may be effective at detecting advanced breast cancer in mammograms, but current models still lack reliability. New research from Korea suggests that up to 14% of invasive cases are missed.
The Pharmaceutical Automation and Digitalisation Congress (AUTOMA+) 2025 is a hub for decision-makers and digital innovators for exchanging insights on the integration of AI within pharma operations. To bring on the networking discussions, the Congress is held in Vösendorf, Austria on November 24-25.
A novel procedure at UC San Diego Health uses a combination of artificial intelligence and 3D printing to develop a customized implant for the spine during fusion surgery.
An advanced imaging method that uses the natural glow of tissues could help detect subtle differences in the tissue’s biochemistry, offering a way to earlier detect colorectal cancer via endoscopy.
New AI-powered solutions for cardiac ultrasound: Italian medical imaging specialist Esaote will be present at the European Society of Cardiology (ESC) Congress 2025, which starts today (29th August) in Madrid.
Self-learning artificial intelligence approaches are offering a number of advantages for digital pathology when compared to established AI options. The benefits, which range from greater speed and capacitive flexibility to ‘wholly interpretable’ analyses, were outlined at the Digital Pathology and AI Congress in London.
As digital transformation accelerates across healthcare, AIRA Matrix stands at the forefront of artificial intelligence innovation in pathology. The company will showcase its comprehensive portfolio of AI-driven diagnostic and analytical solutions at the upcoming European Congress of Pathology in Vienna this September.
Scientists developed an AI-based approach to diagnose colorectal cancer from different microbial subgroups in the gut microbiota – a non-invasive and low-cost alternative to colonoscopy screening.
Patient communication facilitated by chatbots, image quality optimized by machine learning: Artificial intelligence (AI) is entering radiology at breakneck speed, transforming the specialty almost beyond recognition. So, how will the future of diagnostic imaging under AI look like, and which role will humans still play in it? At the ECR congress in Vienna, experts explored the societal and…
Men assessed as healthy may still have an early form of prostate cancer. Using AI, researchers found signs that were missed in more than 80% of samples of men who later developed cancer.
AI-driven scribes that record patient visits and draft clinical notes for physician review may lead to significant reductions in physician burnout and improvements in well-being, a new study finds.
Henkjan Huisman has been appointed Professor of AI Guided Imaging at Radboud UMC/Radboud University. With a focus on AI applications in medical imaging, his goal is to provide better and more affordable care.
Mammography image interpretation AI models are unreliable – but so are human readers. A new hybrid strategy could reduce radiologist workload by 38% without compromising diagnostic efficacy.
To help people with hearing loss, researchers develop an AI-powered lip-reading camera that translates lip movements into sound. The device could also work in areas with a lot of background noise.
Gadolinium-based contrast agents enhance visibility but also pose a significant health risk. A new AI-powered virtual MRI imaging technique is designed to offer a safer diagnostic approach.
More clinically relevant tumors detected at an earlier stage and at lower costs: New research finds that AI can replace the second radiologist in the Dutch breast cancer screening program.
AI tools for adenoma polyp detection are designed to help increase the accuracy of colonoscopies. However, a new study finds that using AI may lead to loss of detection skills in health professionals.
