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Can AI make doctors obsolete? Yes and no.
Friday, November 9, 2018

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Ada launches initiative to improve healthcare access with AI

Ada Health is using its AI-powered medical app to improve healthcare access for underserved people around the world.

Can AI make doctors obsolete? Yes and no.

In a head-to-head commentary piece recently published in The BMJ, three researchers argued if AI's impact could eventually cause physicians to become obsolete.

FDA clears AI detection software for diagnosing brain bleeds

The FDA has given 510(k) clearance to software that uses AI to detect the presence of brain bleeds in CT images.

AI tools performed worse on data outside original health system

Deep-learning models trained to detect pneumonia from chest X-rays performed worse when tested on X-rays from outside their original hospital systems, suggesting AI tools should undergo a wide range of testing before being used in clinical settings.

Perspective: Ethical challenges must be addressed with machine learning

Before healthcare providers go all-in with machine learning, the technology needs to align with safety and ethical standards, according to a recent perspective published in PLOS Medicine.

AI predicts Alzheimer’s disease six years before diagnosis

A deep learning algorithm developed using imaging data from more than 1,000 Alzheimer’s disease (AD) patients can accurately predict the presence of AD more than six years before a doctor finalizes a diagnosis, researchers reported in Radiology Nov. 6.

Around the Web

Harvard: AI may help solve healthcare's red-tape problem

Artificial intelligence may help stop the “downward spiral in productivity” in the healthcare system that has been plagued by labor-intensive, inefficient administrative tasks, according to an article in the Harvard Business Review.


Webinar: 5 Key Challenges of Enterprise Imaging | Thursday, 11/15 at 2pmEDT

Hear how enterprise imaging is improving productivity and physician satisfaction, return on assets, workflow, simplifying vendor management and reducing IT complexity.


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