Two new artificial intelligence apps use your smartphone camera to screen for urinary tract infections (UTIs) or possible signs of chronic kidney disease. Designed to cater for people in lockdown, the apps from Israel-based health technology company Healthy.io With the UTI app, called Velieve, users order a UTI test kit to be delivered to their home, submit their results through the app, and then receive an in-app diagnosis within 30 minutes. The kidney disease app, meanwhile, will be'prescribed' by GPs to patients who are at high risk of chronic kidney disease. This test, which detects albumin to creatinine ratio (ACR) – a key marker of kidney disease – in urine samples, will also be delivered via post and analysed through the app, with the result delivered to directly to the GP.

After extensive modeling and the running of more than 100,000 simulations, an Artificial Intelligence (AI) system was given the task of predicting the 2018 FIFA champions. The AI predicted that Spain would be the champion (28.9% probability), followed by Germany (26.3%), and Brazil (21.9%). If we're going to get the most out of AI technology, we need to find ways to optimize both human and machine actions for best results. Research and consultancy firm Deloitte recommended viewing AI not as "thinking machines," but as cognitive prostheses that can help humans think better. One way to do this is by establishing accuracy checkpoints on AI outcomes.

Natural language processing (NLP) of unstructured free-text content, such as that found in electronic health record (EHR) clinical notes, used to diagnose disease. NLP of observational data may be more insightful than review of medical diagnoses codes like those found in ICD-9 and CPT. Machine learning algorithms to identify patients eligible for clinical trials through review of historical EHR data. This could improve patient suitability for and outcome from the clinical trial. This could inform post-surgery treatment and medication plans.