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AI could Transform Patient Education in Eye Care

From hospital leaflets to spoken answers in dozens of languages, new research from the University of East London (UEL) suggests artificial intelligence (AI) could dramatically improve how patients learn about serious eye conditions.

A research team led by UEL’s Dr Mohammad Hossein Amirhosseini and Dr Fatima Kalabi from Queen’s Hospital in London, in collaboration with Moorfields Eye Hospital in London, and Inselspital University Hospital of Bern in Switzerland, has developed a multilingual, voice-enabled AI chatbot designed to help people understand retinal detachment

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When Surgeons Say 'Wow': A Game Changer for Orthopaedic Surgery

From saving surgeons’ precious time, to reducing surprises and clinical risks in theatre, cutting MDT time in half, and informing decisions before procedures, surgical teams in the SWASH+ consortium of NHS trusts are embracing a ’game changer’ in orthopaedic planning technology with Sectra. David Howard, orthopaedic surgical practitioner at Hampshire Hospitals NHS Foundation Trust, gives the detail.

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AI and Clinicians Together Improve Pediatric Diagnosis

Accurate diagnosis in pediatric care can be particularly challenging, especially when rare diseases present with subtle or overlapping symptoms. Early uncertainty in diagnosis may delay treatment and increase the risk of complications. While artificial intelligence (AI) has shown potential in healthcare, most previous studies have relied on simplified or curated cases rather than real-world clinical data.

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An Avatar to Study Pediatric Brain Cancer

The model organ for this research project is the best pediatric brain tumor model developed so far and can be used to test new drugs. The results of the project, conducted by the University of Trento with Bambino Gesù Children's Hospital in Rome, were published in the Nature Protocols.

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Healthcare Week Luxembourg Focuses on Resilience in Healthcare

30 September - 1 October 2026, Luxembourg.
Healthcare Week Luxembourg (HWL) sets the stage for the fourth edition of its successful European conference, titled "Resilience of Tomorrow's Healthcare: From Preparedness to Antifragility".

The two-day flagship conference will take place on 30 September and 1 October 2026 at Luxexpo The Box in Luxembourg to discuss “People, Systems and AI for a Sustainable Care” and how to develop a “Multidimensional and Future-Proof Framework” that helps shape the future of healthcare, its professions, facilities and practices.

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Deepfake X-Rays Fool Radiologists and AI

Neither radiologists nor multimodal large language models (LLMs) are able to easily distinguish artificial intelligence (AI)-generated “deepfake” X-ray images from authentic ones, according to a study published in Radiology, a journal of the Radiological Society of North America (RSNA). The findings highlight the potential risks associated with AI-generated X-ray images, along with the need for tools and training to protect the integrity of medical images and prepare health care professionals to detect deepfakes.

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Study on AI in Healthcare Dissects Digital Health Technologies in Europe

This study analyses the EU digital health market and economic impact of digital health technologies, including AI-enabled solutions.

This area is a priority workstream for the AI Office, reflecting its importance for AI innovation and competitiveness. The study Observatory for digital health technologies in Europe was commissioned by the Directorate-General for Communications Networks, Content and Technology (DG CONNECT).

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AI Helps to Evaluate Skin Lesions in Rare Disease More Accurately

There is a promising new drug for the rare disease mastocytosis, which is associated with skin lesions, among other things. Researchers at the University of Basel have now been able to use artificial intelligence (AI) to quantitatively measure for the first time the extent to which it reduces skin lesions.

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Using AI to Improve Standard-of-Care Cardiac Imaging

Heart disease is the leading cause of adult death worldwide, making cardiovascular disease diagnosis and management a global health priority. An echocardiogram, or cardiac ultrasound, is one of the most commonly used imaging tools employed by physicians to diagnose a variety of heart diseases and conditions. 

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Orchestrated Multi-Agent AI Systems Outperforms Single Agents in Health Care

As artificial intelligence (AI) becomes more common in health care, from managing records to assisting with medication decisions, researchers at the Icahn School of Medicine at Mount Sinai are asking an important question: How well does AI hold up when the workload gets intense at health system scale?

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