Urinary tract infections make up a significant portion of microbiological screening in diagnostic laboratories, yet nearly two-thirds of samples come up negative. But AI has the potential to improve the process by reducing the number of query samples and enabling diagnostic services to concentrate on those that many have actual infections.
While most of the action around healthcare AI beyond the U.S.’s southern border has so far been in research, tech-focused startup companies based in Mexico have been popping up to push things forward with entrepreneurial energy.
As speculation continues to swirl around AI’s forthcoming transformation of healthcare, fueling boom times in AI research, a review of the literature has turned up scant evidence the technology is benefiting patients at the consumer level.
People with Type 1 diabetes may soon be able to count on an algorithm to keep their blood sugar levels within a healthy range, as research to tap the power of Big Data for automating personalized glucose monitoring and insulin delivery is underway.
A large health data-sharing consortium based in Pittsburgh is bringing in Amazon Web Services to help drive research and product development around machine learning and cloud computing in numerous areas of healthcare.
Researchers at the University of Delaware are developing a system of wearable video devices and AI analysis tools that, they hope, will help make roads and sidewalks friendlier to walkers, joggers, bicyclists and anyone else keeping fit outdoors.
AI and deep learning can extract molecular markets of breast cancer from tissue morphology and assist pathologists in a mass-scale molecular profiling, according to new research published in JAMA Network Open.