p One in four adults has been diagnosed with a mental illness – but a fifth of people still think "one of the main causes of mental illness is a lack of self-discipline and willpower".A survey conducted by the National Centre of Social Research asked 5,000 adults about their experience of mental health and found that 26 per cent had been diagnosed with a mental illness.A further 18 per cent of adults reported having experienced a mental illness but not having been diagnosed.Women were more likely to have been diagnosed with a common mental health disorder – 31 per cent of women compared to 17 per cent of men.The most common diagnosis was depression, with 19 per cent of people surveyed saying they had been diagnosed with the condition.Other common diagnoses were anxiety, phobias and OCD, with bipolar disorder, schizophrenia and eating disorders categorised as "serious conditions".
I was told it uses four or five megabits per second for the video and a little more for data driving the haptics.I've also recently chatted with Doctor Victoria Wade, a senior research fellow at the University of Adelaide.Such prophylactic action is considered an enormous potential benefit of universal broadband.When detailed images are needed, Wade told me that specialist cameras, not more bandwidth, are what's needed.Australia already has a service called Tele-Derm that sees general practitioners in rural areas forward photos of possible skin cancers to experts.I hope that before readers do so, they consider a few other things, namely:When the NBN was conceived as all-FTTP there were few alternatives for 100 Mbps connections.
Google DeepMind will look deep into the eyes of UK eye hospital patients to provide early warning of sight lossPearse Keane, a consultant ophthalmologist at Moorfields Eye Hospital, asked Google DeepMind to help analyze eye scans.Using deep learning techniques, DeepMind hopes to improve diagnosis of two eye conditions: age-related macular degeneration and diabetic retinopathy, both of which can lead to sight loss.If these conditions are detected early enough, patients' sight can be saved.One way doctors look for signs of these diseases is by examining the interior of the eye, opposite the lens, an area called the fundus.They can do this either directly, with an ophthalmoscope, or by taking a digital fundus scan.
A new genetic test could help doctors rapidly diagnose meningitis and other killer bacterial infections and help save lives.Currently when a child arrives at a hospital medics have no fast way of identifying whether they are suffering from meningitis or a less serious viral condition with similar symptoms.Gary Ombler via Getty ImagesProfessor Michael Levin said: Every year many children are sent away from emergency departments or doctors surgery because the medical team thinks they have a viral infection, when in fact they are suffering from life-threatening bacterial infections, which are often diagnosed too late.An accurate diagnosis for meningitis can take up to 48 hours with current tests requiring doctors to test a sample of spinal fluid, or blood, from the child.Now scientists at Imperial College London have identified two genes that are only switched on when a child is suffering from a bacterial infection.
Virtual reality is often touted as the future of entertainment, but a team of medical researchers believe that it could be the future of diagnosing neurodegenerative diseases, like multiple sclerosis and Parkinson's disease, too."Our sense of balance and our movement are responsibilities of a number of systems," explained Ivan Tolmacho, one of the team working on the project."All these coordinated systems operate automatically.They falter if a person develops, for example, Parkinson's disease."Currently, early diagnosis of these conditions is done using visual assessment in most parts of Russia.The brain scanning technology necessary to confirm the diagnosis is only available in a handful of cities.
A gentle guide to where we're at with AIComment Remember that kid in middle school who was deeply into Dungeons & Dragons, and hadn't seen his growth spurt yet?But on the serious side, machine learning today is useful for a wide variety of pattern recognition problems, including the following:Deep learning, a subset of machine learning, has progressed rapidly during the past decade due to:Big data – an increased availability of large data sets for training and deployment has also driven the need for deeper nets.Deeper nets – deep neural nets have multiple layers, and often possess higher-order architecture width within a given layer.
Unless something has gone very, very wrong, chances are that smell isn t a sense that you often associate with consumer technology.A French startup named Aryballe Technologies is hoping to change all of that, however.Spotting a gap in the market in a field populated by increasingly smart devices, Aryballe has developed a digital nose, capable of recognizing and measuring odors — as well as storing all such smells in a dedicated database.Called Neose, the mobile device is being shown off at CES, where it s hoping to impress visitors with its ability to detect up to 350 different smells in around 15 seconds.To achieve this, it uses patented technology which replicates the working of a human nose using a combination of optical resonance technology, an array of biochemical sensors, cloud database of odor signatures, and some smart artificial intelligence-matching algorithms for identification.According to its creators, Neose s technology opens up a plethora of possible applications, including better control and monitoring of olfactive pollution in cities, quality control in the food industry, possible integration in future smart fridges and other home appliances, as well as in medical diagnosis, where recent research has emphasized the possibility of sniffing out diseases.
Matibabu, which is competing in our Hardware Battlefield at CES today, isn t looking to cure any diseases.Instead, the Uganda-based company is looking to make it easier to diagnose malaria so those who are infected can get the right help faster.I actually first ran into Matibabu back in 2013 when the team competed in Microsoft s Imagine Cup finales.The general idea behind its malaria diagnosis technology has remained the same, though.You put your finger into the portable device, which then uses light and magnetism to analyze your blood composition for the tell-tale signs of a malaria infection which affects your red blood cells .One of the main advantages of Matibabu s technology over a conventional blood test is that you can get results back significantly faster 2 minutes compared to 30 or more .
Neural networks have brought us self-driving cars, machine translation tools and now an AI that can recognize performers in the adult entertainment industry.Brain-inspired artificial neural networks are at the cutting edge of AI, being used to make driverless cars speed down our roads, offer instant translations between dozens of languages, and even help with medical diagnosis.Guessing which of these purposes the so-called Pornstar.ID NSFW startup falls into probably won t come as much of a surprise.is one of the less likely applications of neural networks we ve heard about, but nonetheless demonstrates that there really is no limit to where AI is popping up in our… err, some other people s daily lives.Pornstar.ID is a face recognition implementation based on a deep neural network, creator Mike Conrad told Digital Trends.The broad workflow is as follows: first, we first detect faces with real-time pose estimation and transform the detected faces in order to make the eyes and bottom lip appear in the same location on each image.
After medical diagnostics and automobile research, Watson now helps defend against security threatsIBM said it has trained its Watson artificial intelligence platform to bolster companies network security efforts, and that such systems could help fill a skills gap as online attacks become more difficult to fend off.The company has launched a Watson-based platform aimed at helping security operations centres SOCs sift through mountains of false positives, after testing the offering with customers including universities, systems integrators and IT security firms.The Cognitive SOC platform is based on IBM QRadar Advisor with Watson, which responds to natural language queries to search through more than one million security documents for relevant information.IBM is offering the platform as a stand-alone product or as part of a SOC built by IBM Managed Security Services, either on a client s premises or at a remote cloud facility.It has been built into SOCs operated by IBM s X-Force Command Centre network, with clients able to access information about their security situation or network configuration via a chatbot.
An algorithm that's able to accurately predict autism diagnoses in young kids could enable potental interventions to be made earlier.A team of researchers at the University of North Carolina at Chapel Hill have developed a deep learning algorithm that can accurately predict whether a child at high risk of autism is likely to be diagnosed with the disorder in early childhood.The deep learning tool was developed in conjunction with computer scientists from the College of Charleston as part of the Infant Brain Imaging Study, which focuses on early brain development among children with autism.By scanning their brains at 6 months old, a year old, and 2 years old, they were able to make some interesting discoveries.In previous literature, we ve found brain volume enlargement in autism, meaning that people with autism have bigger brains than average, senior author Dr. Heather Hazlett, a psychologist and brain development researcher, told Digital Trends.In this study, we add to that by pinpointing that it s really during the first two years of life that we see this change happening.
Google’s in hot water because of what I call its “One True Answer” feature, where it especially highlights one search listing over all others as if that’s the very best answer.When Google gets facts wrongAt the end of last month, Google was spotted listing several US presidents as being members of the Ku Klux Klan, even though there’s no conclusive evidence of any of this:What’s happening there is called a “featured snippet,” where Google has taken one of the 10 web listings it normally displays and put it into a special box, to highlight it as seemingly the best of all the results, the listing that may fully answer your question.Google’s faith in featured snippets is especially profound when they emerge through its Google Home voice assistant:In fact, it’s one of the top things Google currently suggests if you type in “Is Obama….” into Google’s search box, indicating it’s a search with some degree of popularity:
Just when you thought Amazon’s virtual assistant knew enough already, WebMD – the hypochondriac’s favorite website - has teamed up with the retail giant to give Alexa medical diagnosis capabilities.The integration will allow Amazon Echo, Echo Dot and Fire TV users to ask Alexa basic health queries, such as "Alexa, ask WebMD what are the symptoms of a heart attack", or "Alexa, ask WebMD how to treat a sore throat."In addition to providing answers via voice, the new WebMD integration gives users the chance to request additional information sent in text form to their Alexa app.If they opt to do so, a card containing the original answer to their question and a URL where they can find more information on WebMD.com will appear in the app."Every month, nearly one-third of the total online US population turns to WebMD's websites and apps in search of answers to their health-related questions, but now they have another option - and it's as simple as asking Alexa," said WebMD Vice President Ben Greenberg."There are a number of reasons that voice-enabled interfaces are growing in popularity - they are generally hands-free, people can talk faster than they type, and when done right, they make it easier for consumers to quickly and easily get to the information they need."
Can you recognise when someone is unwell just by studying their face?Understanding expressions can help doctors improve their diagnoses, but it’s a difficult skill to practise.So a group of engineers have made a tool for training clinicians: a robot that can express pain.Many doctors already use robotic patient simulators in their training to practise procedures and test their diagnostic abilities.“These robots can bleed, breathe and react to medication,” says Laurel Riek at the University of California, San Diego.This means that, unlike a real patient, they show no emotion.
Just when you thought Amazon’s virtual assistant knew enough already, WebMD – the hypochondriac’s favorite website - has teamed up with the retail giant to give Alexa medical diagnosis capabilities.The integration will allow Amazon Echo, Echo Dot and Fire TV users to ask Alexa basic health queries, such as "Alexa, ask WebMD what are the symptoms of a heart attack", or "Alexa, ask WebMD how to treat a sore throat."To make use of the feature, users simply need to add the skill to Alexa via the Alexa app store.Start by tapping on the sidebar menu button in the top-left corner of the screen in the Alexa app.Then tap inside of the search box at the top where it says “Search Skills.” Type in WebMD and search, then choose to install.Once installed, just start every health related command with “Alexa, ask WebMD…”
Researchers have successfully used facial recognition technology to detect a rare genetic disease called DiGeorge syndrome in patients.This breakthrough could prove to be a new diagnostic tool for doctors who often have trouble diagnosing the disease due to its many symptoms.The condition is estimated to affect one in 3000 to 6000 kids, and causes defects like heart problems and cleft palate.The work was accomplished by the NIH’s National Human Genome Research Institute, where researchers used facial recognition technology to detect the facial features indicative of this disease.A total of 126 facial features were identified and can be used to diagnose DiGeorge syndrome with a 96.6% accuracy across all ethnic groups.Speaking about this, medical geneticist Paul Kruszka said:
IT administrators managing fleets of Skype for Business users could have an easier time diagnosing and fixing problems.Microsoft unveiled the beta of a new Call Analytics Dashboard on Monday, which is supposed to provide admins with a diagnosis of issues that users are having on a call.There are several different issues that could arise and cause a degradation in call quality, which is why these analytics are helpful.If a user complains about a call only working intermittently, it can be hard to diagnose whether that’s an issue with their network connection, headset, Microsoft’s infrastructure, or something else.Companies may be more likely to migrate from their legacy communications infrastructure to Skype for Business with the existence of the new dashboard, since understanding issues that crop up can help with the transition.That dashboard is one of a handful of Skype for Business features Microsoft announced Monday, as part of the Enterprise Connect unified communications conference.
Facial recognition software has been used by medical researchers to diagnose a rare genetic disease that has previously been particularly difficult to spot in people of African, Latin American and Asian descent.The disease, 22q11.2 deletion syndrome, also known as DiGeorge syndrome and velocardiofacial syndrome, is difficult for healthcare providers to diagnose in diverse populations largely because it manifests itself as multiple defects throughout the body, including cleft palate, heart defects, a characteristic facial appearance and learning problems.According to Paul Kruszka, M.D M.P.H, a medical geneticist in NHGRI’s Medical Genetics Branch “Human malformation syndromes appear different in different parts of the world,” and that as a result “even experienced clinicians have difficulty diagnosing genetic syndromes in non-European populations."The researchers from the National Human Genome Research Institute (NHGRI), part of the National Institutes of Health found that when studying the clinical information of 106 participants and photos of 101 participants with the disease from 11 countries across Africa, Asia and Latin America, appearances across the groups varied widely.By testing the facial recognition technology themselves to compare a group of 156 Caucasians, Africans, Asians and Latin Americans with DiGeorge syndrome to those without the disease, the researchers were able to make correct diagnoses for all of the ethnic groups 96.6 percent of the time.The hope is that creating a database and using facial recognition technology will help these healthcare providers better recognize and diagnose DiGeorge syndrome and deliver the necessary interventions as early as possible.
This machine learning system could highlight individuals who may be vulnerable to depression -- based only on their MRI scans.Depression can be a crippling disorder, affecting upward of 15 million American adults and representing the leading cause of disability for people between 15-44.New research coming out of the University of Texas at Austin could make it easier to diagnose, however — or even to highlight individuals who could be vulnerable to depression prior to its onset.“There’s a whole lot of literature that’s emerging in the field of cognitive neuroscience and psychiatry that looks at using in vivo brain imaging techniques in humans to examine differences that might be associated with mental disorders,” David Schnyer, a cognitive neuroscientist and professor of psychology at the University of Texas at Austin, told Digital Trends.“The issue with a lot of that work is that it’s largely descriptive; it doesn’t tell us how to look at differences in brain scans in a way that gives us predictive power.Our work aims to address that.”
The physical appearance of your bowel movements can already reveal a lot about your body’s digestive health, and colour changes can even indicate more severe problems.But scientists at Rice University want to make it even easier to spot medical problems in your colon, by tinting your poop a rainbow of different colours.The team of bioengineers at Rice University, working with collaborators from the Baylor College of Medicine, were trying to determine if elevated levels of a molecule called thiosulphate in mice contributed to a condition called colitis; an inflammation of the inner lining of the colon.The problem was there were no tools to measure thiosulphate levels in live animals, so the clever scientists had to develop one, as detailed in a recent paper published in Molecular Systems Biology.Increased levels of thiosulphate also increase the amount of sulphur-containing compounds in the colon, so the scientists genetically-engineered genes in E. coli to produce a fluorescent green protein in their presence.As the scientists suspected, elevated levels of thiosulphate were indeed associated with colitis.