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AI is entering the medical sector with increasing force, but many tools apply the technology with a rather experimental mindset, which doesn't mesh with the need for reliability in healthcare settings. Experts point out the need for common standards, reproducibility and patient safety to direct the huge potential of AI into the right channels. We take a look at promising AI applications in radiology, surgery and psychotherapy – and the pitfalls they need to steer clear of.

Article • Experts outline European infrastructure

AI in health imaging: computational power isn’t everything

What will the future structure for artificial intelligence in health imaging across Europe look like? While the algorithms show great promise in collecting, storing, analysing, and using data to advance healthcare, delegates to a session on the ...

Sponsored • Health & Care Expo

Taiwan goes “beyond healthcare”

Post-pandemic problems, ageing societies, the impact of climate change on human health: To find solutions for new and ongoing healthcare challenges, thinking outside the box is crucial. This year’s Medical Taiwan Health & Care Expo took this ...

Article • Impact of ICM packaging and delivery systems

Contrast media bottles: benefits of switching to multi-dose

Iodinated contrast media (ICM) enhance CT imaging, but its single-dose packaging is increasingly proving at odds with modern, more sustainable imaging practices. New award-winning research by a radiology resident and faculty members at Vanderbilt ...

News • Performance-based evaluation

Useful, not pretty: How AI can improve medical imaging

US researchers evaluated AI techniques for cleaning medical images based on performance in clinical tasks. Some algorithms make the scans look better, but actually decrease image quality.

Article • State of the art and latest advances in technology

Robotic assistance in the operating theatre

Surgical robots are becoming widespread in operating theatres, delivering accuracy and safety. An overview of the main systems, principal operators, the market and European initiatives in this field.

News • AI expert points out risks and benefits

Dangerous chatbots? How LLMs should be regulated for healthcare use

LLM-based generative chat tools such as ChatGPT or Google’s MedPaLM have great medical potential, but there are inherent risks associated with their unregulated use in healthcare.

News • 3D visualisation and mixed reality

Is the future of autopsies digital?

From current mixed reality assistance, technological advances could soon make fully digital autopsies a reality. This could enhance efficiency and legal certainty, and also benefit training.

News • Optimizing operating room use

Machine learning improves surgery scheduling

Machine-learning algorithms are 13% more accurate in predicting the surgical time needed in the operating room compared with human schedulers, according to new US research.

News • UK research findings

Digital health tools could prevent hundreds of thousands A&E admissions

UK researchers find that digital health products, e.g. health apps, could make a substantial contribution to tackling NHS urgent care pressures, by keeping patients out of hospital in the first place.

News • Blueprint for use in psychotherapy

AI and mental health care: Combatting the gold rush-mentality

While it’s true that AI holds tremendous potential for improving the science and practice of psychotherapy, it remains a definitively high-stakes area. Stanford experts define the potential benefits and concerns of deploying the technology.


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