As the CEO of Silicon Valley Artificial Intelligence, Pete Kane has founded multiple startups such as Healthcare Minnesota and Startup Venture Loft, which led to his most recent collaborative creation Silicon Valley Artificial Intelligence. The community group uses machine learning (ML) and artificial intelligence (AI) to collaborate on research projects that can make landmark discoveries in science and healthcare. Silicon Valley AI will host the Genomics Hackathon from Friday through Sunday at Google Launchpad in San Francisco. In the future, I believe AI will play a leading role in areas like drug discovery, personalized medicine and cancer genomics.
The new research, Chatbots: Retail, eCommerce, Banking & Healthcare 2017-2022, forecasts that chatbots will be responsible for cost savings of over $8 billion per annum by 2022, up from $20 million this year. Juniper expects dramatic cost savings to be made in the healthcare and banking sectors, as enquiry resolution times are reduced and cost savings boosted. Research author Lauren Foye explained: "We believe that healthcare and banking providers using bots can expect average time savings of just over 4 minutes per enquiry, equating to average cost savings in the range of $0.50-$0.70 per interaction. In the banking sector, Juniper expects this to reach over 90% in 2022.
Voice-input: The device will work with voice command instead of a traditional track pad. Voice commands on smartphones, despite being highly developed in the form of voice assistants such as the Google Assistants and Siri are not considered the primary way of input. Flexibility: This is the part that makes Lenovo's announcement special -- a foldable, rollable PC is something that hasn't been attempted before and not without reason -- there are many working parts of a PC including a large battery and mostly a fan-based cooling system that will be difficult to put into this kind of a form factor, even if you have a PC-size flexible display. "This is more than just design or look and feel…it's how you can speak to it… or how its speaks to you," the company's presentation stated.
The question is; how are these technologies being harnessed in new innovations that use patient and consumer data, and how do we overcome the privacy and technical challenges of accessing sensitive health data? Please join us for this exciting conference, exploring the opportunities and challenges of applying machine learning & AI to patient and consumer health data – including electronic medical records, images and scans and person generated health data. This thought-provoking day will explore the benefits and challenges of accessing private medical records and sensitive health data, including the issue of access by private providers and public attitudes to data sharing. We will discuss ways to solve the data sharing issue, by bringing together clinicians, data owners, private healthcare providers and innovators to discuss innovative ways to apply intelligent technologies to patient data.
The world we experience is not the real world. Which raises the question: How would our world change if we had new and different senses? More recently, researchers in the emerging field of "sensory enhancement" have begun developing tools to give people additional senses--ones that imitate those of other animals, or that add capabilities nature never imagined. Researchers are working on other technologies that could restore sight or touch to those who lack it.
While artificial intelligence stands to bring rapid improvements to the healthcare sector, director-general of the World Health Organisation Margaret Chan has warned that it must be for the good of everybody – not just the wealthiest countries. But AI cannot replace doctors and nurses in their interactions with patients," Chan added. In the UK we have already seen the potential problems posed by technology companies collaborating with the health sector: DeepMind's collaboration with the NHS resulted in complaints over a lack of transparency, a "special relationship" between a public body and private company, and the National Data Guardian accused the NHS of handing 1.6 million patient records given to DeepMind on an "inappropriate legal basis". Doctors and nurses are licensed to practice medicine and undergo continuing study.
Those who aren't paying attention to Artificial Intelligence right now are going to find themselves sadly lagging behind the curve – that's my main takeaway from my conversation with Sajid Ahmed, Chief Information and Innovation Officer, Martin Luther King, Jr. Community Hospital (Los Angeles). Sajid Ahmed is the Chief Information and Innovation Officer of Martin Luther King, Jr. Community Hospital in South Los Angeles. Mr. Ahmed was formerly the director of health information technology and innovation for L.A. Care Health Plan, the nation's largest public plan serving more than one million Los Angeles County residents through free or low-cost health insurance programs. One of his most significant contributions to L.A. Care is the creation of HITEC-LA (Health Information Technology Regional Extension Center for Los Angeles County) for electronic health record adoption and implementation for providers throughout L.A. County.
If we can make restaurant reservations, track workouts, make purchases and bring together fitness data via wearable device, why not schedule doctor visits, track medications, pay medical bills and bring together health data from disparate sources to empower consumers? By combining clinical, claims and other non-traditional data – such as data from wearable devices, social media interactions, and online activity – we can build a more comprehensive picture of each individual consumer. A more holistic picture enables doctors and health plans to share proactive recommendations around preventative care, members to ensure they take medications as prescribed, and insurers to offer products that best support the personalized health care needs of individuals. Artificial intelligence, when combined with big data, enables rapid collection, understanding, and application of information gathered from a variety of sources – claims, doctor visits, emergency events, online and social media interactions, wearable devices, call center communications and other areas.
Escher may have just lost its lucrative stranglehold on the dorm room poster market thanks to artist Chris Rodley, who used a deep learning algorithm to merge a book of dinosaurs with a book of flower paintings. This isn't the first time Rodley has dabbled with a deep learning A.I. The flowered dinosaurs are arguably Rodley's most striking example of this algorithm at work, but merging still-life paintings of fruits and vegetables with dinosaurs also works remarkably well, creating a collection of prehistoric beasts that look like they belong on a poster designed to promote healthy eating habits to children. Not all of Rodley's deep learning experiments produce masterpieces, however.
A new report from Accenture Consulting, entitled Artificial Intelligence: Healthcare's New Nervous System, projects the market for health-related AI to grow at a compound annual growth rate of 40% through 2021--to $6.6 billion, from around $600 million in 2014. In that regard, the Accenture report, authored by senior managing director Matthew Collier and colleagues, echoes earlier assessments of the market. They estimate such smart robotic surgery will return $40 billion in "value," or "potential annual benefits…by 2026." "As these, and other AI applications gain more experience in the field, their ability to learn and act will continually lead to improvements in precision, efficiency and outcomes," say the authors.