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Four Pillars: Leadership for clinical practice settings

This series explores the four pillars of advanced clinical practice and here, Regina Tavengwa explores the pillar of leadership and management. I have been in my current role as a matron for eight years, with a background of practicing as...

Artificial intelligence co-creation for educational learning tools and targeted simulators

Artificial intelligence (AI)-powered tools are becoming increasingly common within clinical practice and medical education, and using AI in simulation as a pure learning tool and for assessment has been widely discussed. Targeted, efficient use of such tools has been shown...

Code-Free Deep Learning: a step into the future of ophthalmology

A new focus has arisen within the research domain of artificial intelligence (AI) in healthcare called code-free deep learning (CFDL), and recent research demonstrates that ophthalmology is becoming one of the leading specialties in this field. Artificial intelligence (AI) is...

Artificial intelligence in eyecare: how do we ensure new technologies truly benefit our patients?

From monitoring patients with heart disease to improving the early diagnosis of cancer, artificial intelligence (AI) using deep learning techniques is already employed in many different healthcare specialties [1]. In the eyecare field, AI technologies have been used to analyse...

Regulatory approval for the use of AI as a medical device

A study led by researchers at Moorfields Eye Hospital and UCL Institute of Ophthalmology examined 36 ‘artificial intelligence as a medical device’ tools approved by regulators in Australia, Europe and the US, identifying that 19% had no published peer-reviewed data...