If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
The Federal Drug Administration just cleared a new band for the Apple Watch that monitors the electrical rhythms in your heart. After a two-year process to satisfy the FDA's stringent requirements, AliveCor announced today that the Kardia Band is now available for purchase for $199. It's a mobile electrocardiogram (EKG), which measures a heart's electrical activity and has traditionally been used by doctors to identify abnormal cardiac rhythms. "It's a regulated measure of physiology by the FDA. Doctors can recognize over 100 conditions when they see an EKG," AliveCor CEO Vic Gundotra told Mashable.
The clinical assessment of suicidal tendency is currently done only by a psychological assessment which essentially involves asking the question -- Are you suicidal? According to a clinical research published by United States National Library of Medicine in a study called "Clinical Correlates of inpatient suicide," four in five patients who died by suicide had denied such tendencies in psychological assessment. According to a new study titled "Machine learning of neural representations of suicide and emotion concepts identifies suicidal youth" by researchers from the University of Pittsburgh and Carnegie Mellon University, artificial intelligence models may succeed where psychologists don't in detect such tendencies. The researchers put 17 adults with suicidal ideation using 17 control subjects who were not known to have such tendencies and put them in fMRI scanner to measure which areas of the brain would be activated when the subjects would be thinking about those keywords. For example, the study states that words like death and cruelty activated left the superior medial frontal area of the brain and the medial frontal/anterior cingulate respectively.
The dataset of scans is from more than 30,000 patients, including many with advanced lung disease. The NIH Clinical Center recently released over 100,000 anonymized chest x-ray images and their corresponding data to the scientific community. The release will allow researchers across the country and around the world to freely access the datasets and increase their ability to teach computers how to detect and diagnose disease. Ultimately, this artificial intelligence mechanism can lead to clinicians making better diagnostic decisions for patients. NIH compiled the dataset of scans from more than 30,000 patients, including many with advanced lung disease.
Increase in usage & application of AI systems is expected to improve patient outcomes and maintain electronic health records (EHR) & patient records to boost the market growth. According to Sriram Radhakrishnan, Team Lead, Healthcare at Allied Market Research, "Different interventions ranging from maintenance of patient records & electronic health records (EHR) to application in surgical procedures are gradually incorporating artificial intelligence, thereby revolutionizing healthcare and clinical settings." Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Portland, Oregon. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of "Market Research Reports" and "Business Intelligence Solutions."
DUBLIN--(BUSINESS WIRE)--The "Artificial Intelligence in Healthcare Market by Offering - Global Opportunity Analysis and Industry Forecast, 2017-2023" report has been added to Research and Markets' offering. The market growth is driven by rise in adoption rate of AI systems and delete technological advancements in the AI field. In addition, the ability of these systems to improve patient outcomes, increase in adoption of precision medicine, and increase in need for coordination between healthcare workforce & patients are expected to fuel the market growth. Increase in usage & application of AI systems is expected to improve patient outcomes and maintain electronic health records (EHR) & patient records to boost the market growth.
A scathing report from investment bank Jefferies claims that from an earnings per share perspective "it seems unlikely to us under almost any scenario that Watson will generate meaningful earnings results over the next few years". While exact figures for Watson aren't given, Jefferies pulled together a range of information, including market research data and public filings, to build financial models predicting Watson's future prospects. "Watson services are offered on either a subscription or a pay-per-use basis and everyone can get started for free," an IBM spokesperson told WIRED. "Watson is clearly part of IBM's Strategic Imperatives, whose figures are reported," an IBM spokesperson told WIRED when quizzed on whether the supercomputer is making any money.
Growing usage of big data in healthcare industry and imbalance between health workforce and patients is expected to drive the growth of the AI in healthcare market The artificial intelligence (AI) in healthcare market was valued at USD 667.1 million in 2016 and is expected to reach USD 7,988.8 million by 2022, at a CAGR of 52.68% between 2017 and 2022. The growth of this market is driven by the growing usage of Big Data in healthcare industry, ability of AI to improve patient outcomes, imbalance between health workforce and patients, reducing the healthcare costs, growing importance on precision medicine, cross-industry partnerships, and significant increase in venture capital investments in AI in healthcare domain. Owing the factors of Natural Language Processing (NLP) to handle structured and unstructured data are driving the NLP market in AI in healthcare market NLP currently holds the largest market share among the AI technologies. North America to witness the highest growth rate in the market for AI in healthcare North America is expected to be the largest and fastest-growing market for AI in healthcare during the forecast period.
WASHINGTON – Launched today, the American College of Radiology (ACR) Data Science Institute (DSI) will work with government, industry and others to guide and facilitate the appropriate development and implementation of artificial intelligence (AI) tools to help radiologists improve medical imaging care. "Patients will benefit most from artificial intelligence if radiologists serve a leading role in guiding the technologies that best enhance medical imaging diagnosis and treatment," said James A. "The ACR Data Science Institute will create, gather, manage and integrate AI knowledge as these tools emerge to improve patient care." About the American College of Radiology The American College of Radiology (ACR), founded in 1924, is a professional medical society dedicated to serving patients and society by empowering radiology professionals to advance the practice, science and professions of radiological care.
"NarrativeDx has built a one-of-a kind analytics engine for narrative patient experience data," said Senem Guney, PhD, Founder and Chief Experience Officer, NarrativeDx. About NarrativeDx NarrativeDx, based in Austin, TX, is the artificial intelligence platform for patient experience. Our natural language processing and machine learning provides actionable insights from patient comments to improve their institution's patient experience, drive patient referrals, increase hospital revenue, and boost hospital reputations. For more information, please visit www.cultivationcapital.com About HealthX Ventures HealthX Ventures is a digital healthcare-focused venture capital fund that supports early/seed stage, high-growth companies in all areas of digital health, including companies who are making healthcare safer, more efficient and more affordable.
This advance has the potential to reduce the worldwide rate of vision loss due to diabetes. In a study published online in Ophthalmology, the journal of the American Academy of Ophthalmology, the researchers describe how they used deep-learning methods to create an automated algorithm to detect diabetic retinopathy. An ophthalmologist is a physician who specializes in the medical and surgical treatment of eye diseases and conditions. This is why an effective, automated algorithm could potentially reduce the rate of worldwide blindness.