Silicon Valley-based tech giant, NVIDIA presented its new medical imaging supercomputer, CLARA at the company’s yearly GPU Tech Conference last week. The artificial intelligence-powered platform is able to take even 15-year-old ultrasound images and augment them with visualized, 3D information in order to provide better insight for diagnosticians and advance the process of finding and curing diseases.
IBM’s new patent application about a real-time video censoring system was published end of March, and the thought of coming closer to a Black Mirror-like world lingers in the air. Would it be a useful tool for protecting copy-right content or a scary sci-fi vision coming true where parents withhold disturbing parts of reality from their children?
Exoskeletons will aid pharma factory workers. 3D printing will allow pharmacies to produce drugs on the spot. Blockchain technologies will help fight counterfeit drugs. These are just bits and pieces, but the entire process of the pharmaceutical supply chain will be affected by disruptive technologies. Let me show you a comprehensive overview how innovations will make it more efficient, faster and cheaper than ever before.
Google researchers predicted cardiovascular risk factors not previously thought to be quantifiable in retinal images using artificial intelligence, according to a study published in Nature Biomedical Engineering. Scientists were able to identify risk factors such as age, gender, smoking status, blood pressure and major adverse cardiac events by only looking at the eye.
The potential of artificial intelligence for making healthcare better is indisputable. The question is how to integrate it successfully into our healthcare systems. For doing so, we have to overcome technical, medical limitations, as well as regulatory obstacles, soothe ethical concerns and mitigate the tendency to oversell the technology. The very first step should be to familiarize with what A.I. truly means. In our latest e-book, A Guide to Artificial Intelligence in Healthcare, we summarized everything you need to know, so now, let’s look at the second step: the challenges to overcome!
Artificial narrow intelligence (ANI) will most likely help healthcare move from traditional, „one-size-fits-all” medical solutions towards targeted treatments, personalized therapies, and uniquely composed drugs. In two words: precision medicine. However, before we let ANI take over the stage in healthcare, stakeholders should consider several ethical and legal issues.
Robots telling jokes and chatbots acting as life coaches sound astounding and terrifying at the same time. Extensive research is going on lately in the field of applying human features, emotions, gestures, and reactions to digital technology; and it raises thousands of questions. Could not only smart, but emotional algorithms or robots appear also in healthcare soon? Would there be a place or need for them? How would it impact the patient-doctor relationship or social interactions in general?