Million-dollar prize hints at how machine learning may someday spot cancer | MIT Tech Review

by Alex Kirkpatrick

09 May 2017

share this:

A contest aimed at automating the detection of lung cancer shows how machine learning may be poised to overhaul medical imaging. The challenge offered $1 million in prizes for the algorithms that most accurately identified signs of lung cancer in low-dose computed tomography images. The winning algorithms won’t necessarily be adopted by clinicians, but they could inspire algorithmic innovations that find their way into medical imaging.

Click here for more.

Alex Kirkpatrick is a passionate writer and science communicator...

Robot Talk Episode 98 – Gabriella Pizzuto

In the latest episode of the Robot Talk podcast, Claire chatted to Gabriella Pizzuto from the University of Liverpool about intelligent robotic manipulators for laboratory automation.

15 November 2024, by Robot Talk

Online hands-on science communication training – sign up here!

Find out how to communicate about your work with experts from Robohub, AIhub, and IEEE Spectrum.

13 November 2024, by AIhub

Robot Talk Episode 97 – Pratap Tokekar

In the latest episode of the Robot Talk podcast, Claire chatted to Pratap Tokekar from the University of Maryland about how teams of robots with different capabilities can work together.

08 November 2024, by Robot Talk

Robot Talk Episode 96 – Maria Elena Giannaccini

In the latest episode of the Robot Talk podcast, Claire chatted to Maria Elena Giannaccini from the University of Aberdeen about soft and bioinspired robotics for healthcare and beyond.

01 November 2024, by Robot Talk

Robot Talk Episode 95 – Jonathan Walker

In the latest episode of the Robot Talk podcast, Claire chatted to Jonathan Walker from Innovate UK about translating robotics research into the commercial sector.

25 October 2024, by Robot Talk

Robot Talk Episode 94 – Esyin Chew

In the latest episode of the Robot Talk podcast, Claire chatted to Esyin Chew from Cardiff Metropolitan University about service and social humanoid robots in healthcare and education.

18 October 2024, by Robot Talk