deep learning

The company's Precision DL speeds up screening time, enhances the image quality of PET/CT scans and improves small lesion detection.

The web service estimates a user's psychological age and creates a personalised mental health programme.

Authors of the study said the results raise concerns about worsening health disparities, especially when models can detect self-reported race information where human radiologists can't.

The Alphabet subsidiary aced a long-running research competition with its deep-learning system, called AlphaFold.

AI is steadily proving itself to the clinical community, but there are some aspects of care in which an algorithm will never be granted full control, said Cardiologs CEO Yann Fleureau.

A new study suggests that a deep learning system would save on the roughly two minutes of human labor required to grade each case, although a semi-automated approach was found to drive the greatest savings for large programs.

Also, tech-enabled home care provider Cera has concluded research into the performance of AI in comparison to human clinicians.

There are a handful of recent academic projects employing algorithms, says Vuno Medical Director Hyunho Park, who describes how similar technologies are making the jump into care.

The startup says it will use the investment to develop its AI solutions and market them internationally.

Rohit Ghosh, an AI scientist and founding member of Qure.ai, discusses how AI and deep learning are improving healthcare, giving an example of how they are advancing radiology.