The AI imaging tool reads chest X-rays without the involvement of a radiologist

By Nicole Wetsman  

An artificial intelligence tool that reads chest X-rays without oversight from a radiologist got regulatory clearance in the European Union last week — a first for a fully autonomous medical imaging AI, the company, called Oxipit, said in a statement. It’s a big milestone for AI and likely to be contentious, as radiologists have spent the last few years pushing back on efforts to fully automate parts of their job. 

The tool, called ChestLink, scans chest X-rays and automatically sends patient reports on those that it sees as totally healthy, with no abnormalities. Any images that the tool flags as having a potential problem are sent to a radiologist for review. Most X-rays in primary care don’t have any problems, so automating the process for those scans could cut down on radiologists’ workloads, the Oxipit said in informational materials. 

HPE’s Spaceborne Computer-2 deployed in the ISS analyzes the images clicked by crew members using the Glove Analyzer model to search for damages in real-time.

By Dipayan Mitra

Technology giants Microsoft and Hewlett Packard Enterprise (HPE) have partnered with NASA to test artificial intelligence (AI) technology on the International Space Station to perform multiple tasks. 

According to the companies, the tasks they plan to perform using AI include checking the wear and tear of gloves on astronauts’ gloves. 

Once the images are received, NASA analysts evaluate photographs of the gloves for any damage that could constitute a concern, then report back to the astronauts on the International Space Station. 

However, this is a lengthy process, and when astronauts get farther away from Earth, the communication weakens, which might lead to delays in the process. 

Therefore to solve this challenge, Microsoft and HPE engineers are working with NASA scientists on a system that uses artificial intelligence and HPE’s Spaceborne Computer-2 to scan and analyze glove images directly on the International Space Station, potentially giving astronauts onboard autonomy with limited support from Earth. 

Project is a M*A*S*H-up of machine learning and battlefield decision-making

Via Brandon Vigliarolo

A new DARPA initiative aims to ultimately give AI systems the same complex, rapid decision-making capabilities as military medical staff and trauma surgeons who are in the field of battle.

The In the Moment (ITM) program, which is right now soliciting research proposals, aims to develop the foundations of expert machine-learning models that can make difficult judgment calls – where there is no right answer – that humans can trust. This study could lead to the deployment of algorithms that can help medics and other personnel make tough decisions in moments of life and death.

“DoD missions involve making many decisions rapidly in challenging circumstances and algorithmic decision-making systems could address and lighten this load on operators … ITM seeks to develop techniques that enable building, evaluating, and fielding trusted algorithmic decision-makers for mission-critical DoD operations where there is no right answer and, consequently, ground truth does not exist,” DARPA said. 

At the heart of this problem is that these sorts of AI systems need to be trained even when there is no ground truth or consensus among experts. Generals may disagree over how exactly a confrontation between two opposing units should unfold. Doctors may have differing opinions on how to treat someone. Teaching machine-learning software how to figure out the best course of action from these stances is non-obvious, and what ITM seems to be set up to tackle.