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AI

With the help of artificial intelligence, computers are to simulate human thought processes. Machine learning is intended to support almost all medical specialties. But what is going on inside an AI algorithm, what are its decisions based on? Can you even entrust a medical diagnosis to a machine? Clarifying these questions remains a central aspect of AI research and development.

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News • Patient history analysis

AI helps GPs detect lung cancer 4 months earlier

GPs may soon be able to identify patients with an increased risk of lung cancer up to 4 months earlier with an algorithm created by researchers based on the data of more than half a million patients.

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Article • Exploring imaging advances and their impact on radiographers

‘The future of breast MRI is bright’

Breast MRI has emerged as a powerful diagnostic tool, particularly for women with dense breast tissue where traditional mammography faces limitations. In her presentation at ECR 2025, radiographer…

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News • Trust in technology

Patients open to AI support in mammography

Despite their improving diagnostic accuracy, medical AI systems are often met with skepticism by radiologists. Their patients, however, seem more inclined to embrace this technology, a study shows.

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News • Synthetic fibrosis distributions

AI generates ‘scarred hearts’ for better cardiac treatments

Researchers have developed an AI tool that creates synthetic yet medically accurate models of fibrotic heart tissue (heart scarring), aiding treatment planning for atrial fibrillation (AF) patients.

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Article • Conversational AI in medicine

How to teach an LLM to think like a clinician

While generative AI shows immense potential for healthcare, a critical reliability issue lurks beneath the surface: LLMs don't think like doctors do, a data science expert explained at the…

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News • Sputum-free, rapid alternative for TB detection

POCT AI-guided lung ultrasound boosts tuberculosis diagnosis

Despite previous global declines, pulmonary tuberculosis (TB) is on the rise again. A new AI-powered lung ultrasound shows promise in improving diagnostic performance of TB.

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Article • Digital pathology discussion panel

The AI tools pathologists want and need

The evolving role of AI tools in digital pathology was explored at an open discussion during the annual Digital Pathology and AI Congress in London with a high-level panel of practitioners looking at current and future technology options. The panel of pathologists, scientists and academics from Europe and the USA assessed the tools they currently use and are available to them, and those they…

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Article • Philips at ECR 2025

Enhancing the “eye of medicine”

A greater emphasis on AI and sustainability, new approaches to mitigating staff shortage and more: At the European Congress of Radiology (ECR) 2025 in Vienna, Philips showcased its approaches to several critical issues in diagnostic imaging. The global healthtech company presented solutions addressing today's healthcare challenges while aligning with the congress's "Planet…

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Sponsored • Esaote’s approach to innovation

Shaping the future of medical imaging

For Esaote, a leading Italian innovator in medical imaging - ultrasound, dedicated magnetic resonance and medical IT - the mission is to develop new technologies that can help advance diagnosis and improve patient care. Esaote has always leveraged continuous innovation as the key driver of its business strategy. This approach is also embodied in its three business areas.

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Sponsored • Product presentation at radiology congress

United Imaging showcases sustainable, AI-driven innovations at ECR 2025

United Imaging, a global leader in manufacturing advanced medical imaging and radiotherapy equipment, showcases a range of cutting-edge technologies aligned with sustainable values. Notably, the company achieves an A rating in the MSCI ESG ratings, highlighting its unwavering commitment to transforming medical diagnostics and patient care worldwide through a holistic, sustainable approach.

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