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News • AI-powered systems and European market growth

United Imaging Showcases Advanced Molecular Imaging Innovations at EANM 2025

At the 38th European Association of Nuclear Medicine (EANM) Congress, held from October 4–8 in Barcelona, United Imaging, a global manufacturer of cutting-edge medical imaging technology, showcases its most advanced AI-powered molecular imaging innovations, the uMI Panvivo family and the uMI Panorama family, and highlights the company’s strong growth and confidence in the European market.

News • Transformer-based learning from radiomics and clinical data

New AI model improves prediction of breast cancer recurrence

An international team has developed an AI model that brings together medical imaging data and clinical information to calculate the risk of breast cancer tumour recurrence more accurately.

News • AI in cancer care

New 3-tier framework sets safety standards for LLMs in oncology

Underscoring the growing role of large language models (LLM) in cancer care, ESMO released the first structured set of recommendations to bring AI language models into oncology safely and effectively.

News • Risk estimation of progression in the knee

AI predicts future X-rays of osteoarthritis patients

An AI system that can predict what a patient’s knee X-ray will look like a year in the future could transform how millions of people with osteoarthritis understand and manage their condition.

News • Emergency medicine

Triaging patients: no job for AI (alone)

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.

Rethinking Healthcare: AI as a Catalyst for Change

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.

Interview • An interview with the President of JFR 2025

What the clinic does not say

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…

News • Machine learning analysis

‘Two-for-one’ screening uses mammograms to predict heart disease in women

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.

News • Estimation of nodule malignancy risk

Lung cancer screening: AI to reduce false positives

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.

News • Hurdles for AI implementation

What's holding back the digital transformation of NHS healthcare

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.

News • AI-supportred tissue engineering

3D bioprinting to solve donor organ shortage

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.

News • Integrating technology into care

AI can help older adults gather more accurate blood pressure readings at home

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.

News • Reliability of mammography analysis

AI still misses 14% of advanced breast cancer cases, study finds

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.

News • Pharmaceutical Automation and Digitalisation Congress

AI in Action: Transforming Pharma Industry with AUTOMA+ 2025

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.

News • New technological approach

Surgical premiere for 3D printed custom spine implant

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.

News • Optical technique

AI-assisted autofluorescence imaging to early detect colorectal cancer

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.

News • Cardiology congress presence

New AI-powered solutions for cardiac ultrasound at ESC 2025

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.

Article • From H&E to multiplex

Self-learning AI: a boost for digital pathology

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.

AI-powered solutions for pathology

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.

News • Implicit information

In-depth AI microbiome analysis reveals colorectal cancer

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.

Article • Societal and ethical impacts explored at ECR 2025

How AI is transforming radiology – and radiologists

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…

News • Discovery of tumour indicating morphological changes

Prostate cancer: AI finds changes missed by pathologists

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.

News • Reducing clinician burden and burnout

Documentation takes the joy out of medicine – AI scribes could bring it back

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

Better and more affordable care through medical imaging AI

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.

News • Breast cancer screening

Mammography: Hybrid reading to overcome AI overconfidence

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.

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