Somewhere, buried in one of tens of millions of cell samples, could lie the next great breakthrough in disease prevention or cure. But one of the great barriers to finding it could be the need for human eyes to evaluate a corresponding mountain of cell images, one by one. In an era when terabytes of data can be analyzed in just a few days, the opportunity to enhance automation of biomedical analysis could help researchers achieve breakthroughs faster in the treatment of almost every disease--from cancer, diabetes and rare disorders to the common cold. To spur this automation, Booz Allen Hamilton (NYSE: BAH) and Kaggle today launched the 2018 Data Science Bowl, a 90-day competition that calls on thousands of participants globally to train deep learning models to examine images of cells and identify nuclei, regardless of the experimental setup--and without human intervention. Creators of the top algorithms will split $170,000 in cash and prizes, including an NVIDIA DGX Station, a personal AI supercomputer that delivers the computing capacity of 400 CPUs in a desktop workstation.
AI has pervaded our homes, our cars, and now, our hospitals. They are built into our devices, and into our phones, and are the basis for 24 hour care – and increasingly used in drug discovery. Massive data sets are now used to monitor, detect, and address so many conditions, from heart disease to mental illness to the deterioration of gait in Parkinson's disease. Brain computer interfaces are allowing the disabled to walk, and the blind to navigate. Robots, and NLP tools such as Alexa, let seniors to age in place, gracefully.
People use chatbots to find homes, interact with their favorite brands, and schedule appointments. Many consumers are onboard with using chatbots to gather instant, personalized information. In many cases, chatbots are the first point of contact for individuals who feel unwell and need to decide whether to head to the doctor. As this technology becomes more prominent, people understandably begin to wonder if insurance companies will cover sessions with chatbot doctors. Given their innovative use of chatbots in the health care sector, it's looking like insurers and health organizations in the U.K. could be the first to establish insurance coverage for health consultations with chatbots.
The Apple Watch can help users stay active, track their health data and can boost workouts with the watchOS 4 update. Apple launched the Apple Watch Series 3 and the watchOS 4 update in September 2015. The Series 3 is priced at $329 for the standard Wi-Fi version and $399 for the LTE cellular model. The wearable device includes a dual-core processor, a faster Siri, a heart rate sensor and is about the same size as the Series 2. While Apple doesn't sell the Series 2 anymore, the company still sells the original Apple Watch for $249. The original Apple Watch also supports watchOS 4. The Workout app is also another feature that can boost users' exercise sessions.
Early recognition of cardiac arrest is vitally important as the chance of survival decreases about 10 percent with each minute. In Denmark AI assistant Corti is listening in to phone calls to emergency services to help detect signs of a heart attack. With Corti implemented, the dispatcher gets a digital assistant that listens in on the conversation and helps to look for important signals in both verbal communication, as well as tone of voice and breathing patterns, while also considering other metadata. All the data provided during the emergency call is automatically analyzed by Corti and then compared to the millions of emergency calls – which Corti has already analysed –to find important patterns. As Corti's understanding of the incident increases, the assistant will try to predict the criticality of the patient's situation based on symptom descriptions and the signals gathered from voice and audio.
Many decisions in our lives require a good forecast, and AI agents are almost always better at forecasting than their human counterparts. Yet for all these technological advances, we still seem to deeply lack confidence in AI predictions. Recent cases show that people don't like relying on AI and prefer to trust human experts, even if these experts are wrong. If we want AI to really benefit people, we need to find a way to get people to trust it. To do that, we need to understand why people are so reluctant to trust AI in the first place.
Scientists have created a robot that is implanted into the body to treat a rare birth defect which prevents food reaching a baby's stomach. Around one in 4,000 babies are born with oesophageal atresia in the USA and Europe - a serious condition which is fatal if not treated. It occurs when the upper and lower parts of the oesophagus don't connect, which means food can't pass from the throat to the stomach. Doctors currently treat the condition using the Foker technique, which involves pulling slightly on the broken ends of the oesophagus, to encourage them to grow towards each other. The robot is a small device which is attached to the oesophagus by two rings.
An international team of scientists are using data on genetic material, cell surface texture and typical facial features derived by artificial intelligence methods to simulate disease models for deficiencies in the molecule glycosylphosphatidylinositol (GPI) anchor, which is known to cause various diseases. One of the diseases is Mabry syndrome, a rare disease that is triggered by a change in a single gene, causing mental retardation. "This disease belongs to a group that we describe as GPI anchor deficiencies and which includes more than 30 genes," physician and physicist Dr. Peter Krawitz from the Institute for Genome Statistics and Bioinformatics of the University Hospital Bonn, said in a statement. GPI anchors attach specific proteins to the cell membrane and if they do not properly function due to a gene mutation, signal transmission and further steps in the cell-cell communication are impaired. The researchers investigated how a diagnosis of GPI anchor deficiencies can be improved with modern and fast DNA sequencing methods, cell surface analysis and computer aided image recognition.
With great technology comes great risk; hospital administrators and staff have been coming to terms with this parallel for the last couple of years, as EHR, healthcare tech, and IT infrastructure improvements have flourished, while simultaneously cyberattacks and breaches have risen in the field. The rate of breaches is so high that, according to Julie Spitzer writing for Becker's Hospital Review, it's nearly exceeding the rate of one breach per day. "In fact, the Identity Theft Resource Center found the U.S. medical and healthcare sector experienced roughly 336 data breaches as of Nov. 29th, which represents 28% of the total 1,202 breaches," writes Spitzer. "That equates to 4.93 million records exposed, or 2.9% of the total 172 billion records that have been exposed so far in 2017." It's a predicament, to say the least, but it's not all bad.
The development comes from John Radcliffe Hospital and it is an artificial intelligence system which has the aim of reducing operational expenditure. This is through early detection of heart disease and lung cancer. By detecting potential for diseases earlier, appropriate medication can be administered meaning a reduction in operations. Heart disease is assessed by cardiologists through the scanning and monitoring of heart attacks. An echocardiogram, or "echo", is a scan used to look at the heart and nearby blood vessels.