AI News, 32 Artificial Intelligence Companies You Should Know
NFL to be advised by artificial intelligence on player performance, salary
The National Football League is turning to artificial intelligence to determine whether its teams are paying some of their star players too much money.
“We have this treasure-trove of data that we work with and then we have four data scientists that work here along with 500 people that are doing various things within the football world.”
PFF and AWS can collect data on the number of times a receiver drops a pass and whether that pass was considered catchable.
“We’re taking all this data and we’re throwing it into these massive computer systems and it’s starting to come out with breakdowns on which positions are the most valuable, how much should they be paid, how much should you pay the quarterback,”
$134 million extension accounts for contract extension accounts for 13.49 percent of the team’s salary cap.
100+ artificial intelligence companies to know in healthcare | 2019
Artificial intelligence and machine learning are quickly becoming an integral part of healthcare delivery.
Both on the clinical care and operational side of healthcare organizations, AI has is powering technology that keeps patients safe and improves efficiency for the revenue cycle, supply chain and more.
Their FDA cleared solution detects time-sensitive pathologies and prioritizes them in the radiology workflow, allowing leading health systems to improve outcomes and patient safety.
AiCure is an AI and advanced data analytics company that uses video, audio and behavioral data to better understand the connection between patients, disease and treatment.
Ayasdi designs applications and an enterprise-grade software platform that allows healthcare organizations to analyze and build predictive models that solve complex challenges in the industry by using big data or highly dimensional data sets.
Belong.life (New York City).Belong's end-to-end patient engagement platform (PEP) for payers, providers, pharma and advocacy groups utilizes AI and machine learning to deliver hyper-personalized patient experiences.
Additionally, the Belong “Beating Cancer Together” app unites 200,000 global cancer patients, caregivers and healthcare professionals, delivering AI-powered personalized news, peer support, direct access to doctors, clinical trial matching services and document management tools.
Cardinal Analytx Solutions, an artificial intelligence-enabled health insights company, helps organizations predict and identify future health risks, improve patient outcomes and costs and develop an action plan for reducing such determinants.
Cathworks' CE marked and FDA approved solution creates a personalized 3D model of each patient’s arteries and uses algorithms to simulate blood flow and assess the impact of arterial blockages without the use of a pressure wire.
Clarify Health Solutions uses technology and an analytics platform to solve many of the complex challenges facing healthcare professionals and to personalize and optimize patient care journeys.
contextflow revolutionizes the medical information search process via deep learning: our 3D image-based search engine for radiologists finds regions of interest within images;
Cyrcadia Health designed a wearable, intelligent breast monitor device that uses breast patches that identify circadian patterns within breast cells to keep physicians aware of patients’ breast health.
The company combines genomic next generation sequencing (NGS) and machine learning to combat antimicrobial resistant infections, enabling physicians to switch from harmful and costly broad-spectrum antibiotics to targeted antibiotic therapy within hours instead of days.
In healthcare, Digital Reasoning deploys AI-powered care management software within health systems to augment the care team and accelerate the entire care process, delivering a positive impact on clinical, financial and operational outcomes.
FDNA uses artificial intelligence to analyze genetic, phenotypic information databases to detect physiological patterns that reveal disease-causing genetic variations.
Flatiron Health developed OncoCloud, a shared technology platform that connects community, oncologists, academics, hospitals, life science researchers and regulators to better treat cancer.
Futurus Group’s patent-pending G2G (Gratitude to Give) algorithm leverages data within a hospitals EMR, donor CRM and patient satisfaction data to predict individuals most likely to make a gift to a hospital or medical center.
The company's adaptive AI solution leverages proprietary datasets that transform raw genetic information into actionable real world evidence enabling customers to develop customized clinical NGS genetic applications with accelerated turnaround time delivering insights within hours instead of weeks.
The platform is able to find data from any public clinical and scholarly database in the world, drawing on curated data from “hundreds of thousands” of website profiles and conference presentations.
H1’s tools search across more than 250,000 academic researchers, 250,000 clinical trials, 50 million journal articles, and 750,000 clinicians and physicians.
Healint designed the leading migraine application, Migraine Buddy, which tracks users’ migraines, understands triggers and shares migraine history with physicians to better treat and efficiently improve the invisible pain.
iCAD is a global medical technology leader that uses artificial intelligence to provide cancer detection and therapy solutions so physicians can detect cancers earlier.
Massive Bio (New York City).Massive Bio is a marketplace that connects oncology patients and their treating oncologist to the cutting edge advanced care options and clinical trials while enabling enterprises to get access to patients and their information to enhance oncology research.
Massive Bio resides at the intersection of patient acquisition, artificial intelligence based scalable pre-screening, operationalization support and real world data to connect patients to oncology trials.
The company’s software uses artificial intelligence to interpret medical images to help physicians make more accurate and faster diagnoses of strokes, brain trauma and other conditions.
Medable is pioneering a new category of life science technologies that replace the stagnant and siloed data of traditional ePRO, eCOA, EDC, and eSource with an intelligent and unified end-to-end (E2E) platform for clinical trial execution.
Medable’s E2E platform connects patients, sites, CRO’s and sponsors to work together as a connected and empowered team in clinical research, to bring new medicines to patients faster.
MedAware's technology uses big data analytics and machine learning algorithms to analyze electronic medical records to learn how physicians treat patients to identify and eliminate a wide range of medication errors.
The company's machine learning-based software finds subtle, early signs of elevated patient risk trajectories in routine, existing EHR and lab data.
Myia Labs is an intelligent health monitoring platform that helps prevent illness, manages chronic conditions and redefines quality of life by transforming real-world data into clinical, objective insights.
Using the systems an organization already has in place, Olive operates as a digital employee intelligently routing information and data between systems automating repetitive, high-volume tasks and workflows, providing true interoperability.
Recondo Technology’s revenue cycle content engine intelligently automates the healthcare revenue cycle using a combination of AI technologies that include robotic process automation, clinical language processing and machine learning models based on extensive domain expertise.
Among the first companies to develop AI specifically for the healthcare revenue cycle, today Recondo’s accurate, automated and actionable solutions replace expensive manual communication between payers and providers with high volume, high speed transactions in over 900 organizations.
ReveKnow provides low-cost access to advanced machine learning algorithms that can predict a patient’s propensity to pay a bill, calculate percentage to FPL for presumptive charity, or estimate the probability that a denied account can be overturned.
Risalto Health’s AI platform uses big data to identify the best providers and advice on care for patients suffering from neck, knee and hip pain problems.
SkinIO is a mobile application that takes approximately five minutes to perform a full-body scan of moles or other concerning skin marks by using camera taken images.
Spring Health created and implements Precision Mental Healthcare, a method of accurately predicting the right treatment and accelerating mental health recovery by using the same scientific principles behind precision medicine.
The platforms also powers risk insights and workflow automation, while providing secure, compliant archiving for video, voice, and chat – all driving down the cost of compliance Touchkin (Bengaluru, India).
twoXAR is an artificial intelligence-driven drug discovery company that uses its platforms to identify promising drug candidates, de-risk opportunities and progress drug candidates to clinics.
Verge Genomics uses advanced machine learning, computational genomics and new insights into neuroscience to reduce the time and cost of drug discovery for patients suffering from neurodegenerative disease.
VisiQuate helps its clients achieve peak business health through artificial intelligent technology that integrates data and presents it as role-personalized insights and actionable workflows.
The company’s comprehensive solution enables service providers in healthcare to deliver uninterrupted and secure critical care and service to patients and customers and gain organization-wide operational efficiencies.
Should Artificial Intelligence Practice Law?
Morgan Stanley reduced its legal staff and now uses AI to perform 360,000 hours of contract review in seconds and a number of legal services can conduct legal research (e.g., Ross Intelligence), perform contract analysis (e.g., Kira Systems, LawGeex, and help develop legal arguments in litigation (e.g., Case Text).
With machine learning, you provide the computer with a model that can learn what a cat looks like and then let the computer review millions of cat (and non-cat) pictures, stimulating the model when it correctly discerns a cat, and correcting it when it doesn’t properly identify a cat.
The upshot is that the computer develops a probabilistic model of what a cat looks like, such as “if it has pointy ears, is furry, and has eyes that can penetrate your soul, there is a 95 percent chance that it is a cat.” And there is room for error.
If a lawyer applies legal reasoning to identifying cat pictures, that lawyer will become well versed in the legal requirements as to what pictorial elements (when taken together) make up a cat picture.
The lawyer will then look at a proposed cat picture and review each of the elements in the picture as it relates to each of the legally cited elements that make up a cat and come up with a statement like, “Because the picture shows an entity with pointy ears, fur, and soul-penetrating eyes, this leads to the conclusion that this is a picture of a cat.” In machine learning, the room for error does not lie in the probability of the correctness of the legally cited cat elements to the proposed cat picture.
- On 16. oktober 2021
📱 40% of AI Companies Don't Use AI
40% of AI Companies Don't Use AI - The Daily Overpass #630 Hi guys! Today, I talked about how 40% of AI companies do not use AI. I read it from this article: ...
Technology: AI in China
Companies and governments are turning to artificial intelligence to make streets safer, shopping more targeted and health care more accurate. China is one of ...
Who is winning the artificial intelligence race?
Read the full story on the Stanford Engineering website: In a recent talk at Stanford, Kai-Fu Lee says China has taken the lead. Lee is ..
12 Minutes AI - Everything you need to know - WorkTools #29 by Christoph Magnussen
Now with fixed image stabilisation... sorry! Subscribe here to my weekly vlogs and updates or check out my website .
AI Companies [TOP 10]
Top 10 AI Companies Don't Miss the AI Master Program Discount: (30% off by Using Coupon Code: M20 / M30) ▻Don't ..
Amy Webb: The Big Nine and the AI Challenge 2019 (CxOTalk #336 with Michael Krigsman)
What should business people know about artificial intelligence and other emerging technology trends in 2019? Quantitative futurist and author, Amy Webb, ...
Billionaire Mark Cuban: Investing, A.I and Cryptocurrencies (2017)
An interview with billionaire entrepreneur and investor, Mark Cuban. In this interview, Mark discusses his investment strategy for Cryptocurrencies and the effect ...
Why Artificial Intelligence and Quantum Computing Will Kill us All..
Heres Why Artificial Intelligence and Quantum Computing Will lead to the extinction of the human race. ↓↓OPEN FOR MORE ↓↓ Credit to: ...
Artificial Intelligence | Jeff Bezos Interview | Future of AI | Intellipaat
Intellipaat Artificial Intelligence Course:- Watch what Jeff Bezos talks about the future of AI ..
Artificial Intelligence & the Future of Technology with Nikola Danaylov - HQ #011
In today's episode, I have the pleasure of having Nikola Danaylov, aka Socrates, to Devolutions HQ. He's an international bestselling author, keynote speaker, ...