Healthcare Natural Language API and the AutoML Entity Extraction for Healthcare are two new artificial intelligence tools designed to help healthcare and life science organisations scan and analyse large volumes of unstructured text.
Apple and Google: contact tracing is now a feature of the operating system
Google puts people’s mobility maps online
Social distancing is the public health strategy that many states have adopted to combat the Covid-19 pandemic. To help health authorities measure compliance with these measures, Google has decided to provide community mobility reports.
Project Baseline, Google’s website for the Coronavirus
After Donald Trump’s announcement, then Verily’s denial, then Google’s clarification, the site where those who fear being infected by the Coronavirus can request the test is finally online. Continue reading
Google’s Artificial Intelligence beats human Intelligence in breast cancer diagnosis
A research recently published in Nature reports the results of an AI model developed by Google for the diagnosis of breast cancer by scanning digital mammograms. Continue reading
Google demos its EHR tool: the competition is now harder!
Google Health presented the Electronic Health Record (EHR) that it is developing as part of a new generation of digital clinical instruments. It represents a difficult and very demanding challenge for industry players. Continue reading
Can the development of AI in medicine be reconciled with privacy?
The question is asked whenever the unauthorised use of patient health data is discovered. Considering the great potential that artificial intelligence (AI) has for medicine, it is necessary to address the issue in a systematic and transparent way. Continue reading
How to use Dr. Google to improve communication with patients
The BMJ Open Journal published an observational study on the searches carried out on Google by patients presenting to an emergency department. Continue reading
A roadmap for a smart EHR. 4) deep learning
In this article we’ll examine the use of AI and deep learning technologies to make a predictive analysis of hospitalised patients. Continue reading
