Google Health Prototype Speculations

Google HealthGoogle Health Product discussions have been again refreshed after several official and non-official Google Health Prototype related news articles.

According to the recent New York Times article, Google executives would not comment on the Google Health prototype, other than to say the company plans to experiment and see what people want. "We'll make mistakes and it will be a long-range march," said Adam Bosworth, a vice president of engineering and leader of the health team. "But it's also true that some of what we're doing is expensive, and for Google it's not."

It seems that the official Google position didn't change too much for about several months, at the end of the 2006 Adam Bosworth mentioned in the official Google Blog "These are some of the health-related problems we're thinking through at Google. We don't have any products or services to announce yet and may not for quite some time, but we thought we'd share a bit about the problems we're interested in helping out on even before we introduce solutions. As we explore these problems and continue to work on them, we hope to share more about our efforts along the way."

Nevertheless, non-official Google blogs are plenty with additional information and in special with Google Health Prototype screenshots. The most advanced on this context seams to the "First Google Health Screenshots" article accessible at http://blogoscoped.com/archive/2007-08-14-n43.html

For further information, please visit:

Most Popular Now

Digital ECGs at Barts Health: A High-Imp…

Opinion Article by Dr Krishnaraj Sinhji Rathod, consultant in interventional cardiology, Barts Health NHS Trust. Picture the moment. A patient in an ambulance, enroute to hospital with new chest pain. Paramedics...

Study Sheds Light on Hurdles Faced in Tr…

Implementing artificial intelligence (AI) into NHS hospitals is far harder than initially anticipated, with complications around governance, contracts, data collection, harmonisation with old IT systems, finding the right AI tools...

Using Deep Learning for Precision Cancer…

Altuna Akalin and his team at the Max Delbrück Center have developed a new tool to more precisely guide cancer treatment. Described in a paper published in Nature Communications, the...

Study Used AI Models to Improve Predicti…

Chronic kidney disease (CKD) is a complex condition marked by a gradual decline in kidney function, which can ultimately progress to end-stage renal disease (ESRD). Globally, the prevalence of the...

AI-Powered CRISPR could Lead to Faster G…

Stanford Medicine researchers have developed an artificial intelligence (AI) tool to help scientists better plan gene-editing experiments. The technology, CRISPR-GPT, acts as a gene-editing “copilot” supported by AI to help...

Groundbreaking AI Aims to Speed Lifesavi…

To solve a problem, we have to see it clearly. Whether it’s an infection by a novel virus or memory-stealing plaques forming in the brains of Alzheimer’s patients, visualizing disease processes...

AI Spots Hidden Signs of Depression in S…

Depression is one of the most common mental health challenges, but its early signs are often overlooked. It is often linked to reduced facial expressivity. However, whether mild depression or...