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AI may reduce need of doctors as costs skyrocket & shortage of physicians

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Deep learning algorithm detects Alzheimer’s up to six years before doctors
https://newatlas.com/ai-algorithm-pet-sc...sis/57138/

EXCERPT: A powerful new deep learning algorithm has been developed that can study PET scan images and effectively detect the onset of Alzheimer's disease up to six years earlier than current diagnostic methods. The research is part of a new wave of work using machine learning technology to identify subtle patterns in complex medical imaging data that human clinicians are unable to pick up.

MORE: https://newatlas.com/ai-algorithm-pet-sc...sis/57138/

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Could machines using artificial intelligence make doctors obsolete?
https://www.eurekalert.org/pub_releases/...110618.php

EXCERPT: Artificial intelligence systems simulate human intelligence by learning, reasoning, and self correction. This technology has the potential to be more accurate than doctors at making diagnoses and performing surgical interventions, says Jörg Goldhahn, MD, MAS, deputy head of the Institute for Translational Medicine at ETH Zurich, Switzerland.

It has a "near unlimited capacity" for data processing and subsequent learning, and can do this at a speed that humans cannot match. Increasing amounts of health data, from apps, personal monitoring devices, electronic medical records, and social media platforms are being brought together to give machines as much information as possible about people and their diseases. At the same time machines are "reading" and taking account of the rapidly expanding scientific literature. "The notion that today's physicians could approximate this knowledge by keeping abreast of current medical research while maintaining close contacts with their patients is an illusion not least because of the sheer volume of data," says Goldhahn.

Machine learning is also not subject to the same level of potential bias seen in human learning that reflects cultural influences and links with particular institutions, for example. While the ability to form relationships with patients is often presented as an argument in favour of human doctors, this may also be their "Achilles heel", Goldhahn points out. Trust is important to patients but machines and systems can be more trustworthy than humans if they can be regarded as unbiased and without conflicts of interest.

Furthermore, some patients, particularly younger ones and those with minor conditions, may rate correct diagnosis higher than empathy or continuity of care, he says. "In some very personal situations the services of a robot could help patients avoid feeling shame.

The key challenges for today's healthcare systems are rising costs and insufficient numbers of doctors. "Introducing AI-driven systems could be cheaper than hiring and training new staff, Goldhahn says. "They are also universally available, and can even monitor patients remotely."Doctors as we now know them will become obsolete eventually."

MORE: https://www.eurekalert.org/pub_releases/...110618.php
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