AI News, Health Information Management: Implications of Artificial Intelligence ... artificial intelligence

Ultra-modern medicine: Examples of machine learning in healthcare

in the use of genetic information “within care management and precision medicine to uncover the best possible medical treatment plans.” “AI will affect physicians and hospitals, as it will play a key role in clinical decision support, enabling earlier identification of disease, and tailored treatment plans to ensure optimal outcomes,” Paruk explained.

Location: Alpharetta, Georgia How it's using machine learning in healthcare: Ciox Health uses machine learning to enhance 'health information management and exchange of health information,' with the goal of modernizing workflows, facilitating access to clinical data and improving the accuracy and flow of health information.  Industry impact: The company recently partnered with Chicago-based Northwestern Memorial Healthcare 'to bring efficiency and transparency to Northwestern Memorial’s release of information (ROI) process.'

View Jobs + Learn More Location: Redmond, Washington How it’s using machine learning in healthcare: Microsoft's Project InnerEye employs machine learning to differentiate between tumors and healthy anatomy using 3D radiological images that assist medical experts in radiotherapy and surgical planning, among other things.  Industry impact: InnerEye is used in the United Kingdom to produce 3D imaging that pinpoints the precise location of tumors and enables more accurately targeted radiotherapy.

Location: New York, New York How it’s using machine learning in healthcare: With the help of IBM’s Watson AI technology, Pfizer uses machine learning for immuno-oncology research about how the body’s immune system can fight cancer.  Industry impact: According to fiercebiotech.com, Pfizer expanded its collaboration with Chinese tech startup XtalPi “to develop an artificial intelligence-powered platform to model small-molecule drugs as part of its discovery and development efforts.The project will combine quantum mechanics and machine learning to help predict the pharmaceutical properties of a broad range of molecular compounds.”  

Location: Boston, Massachusetts How it’s using machine learning in healthcare: Via its machine learning platform Augusta, Biosymetrics “enables customers to perform automated ML and data pre-processing,” which improves accuracy and eliminates a time-consuming task that’s typically done by humans in different sectors of the healthcare realm, including biopharmaceuticals, precision medicine, technology, hospitals and health systems.

Location: New York, New York How it’s using machine learning in healthcare: Precision Health AI uses machine learning to analyze oncology data, providing insights that allow oncologists, pharmaceutical companies, payers and providers to practice precision medicine and health.  Industry impact: Its recently launched platform, Eureka Health Oncology, uses deep data from electronic medical records “to train innovative AI solutions for the management, delivery and use of clinical data that integrates seamlessly into existing workflows,” according to company CEO Brigham Hyde.

With an assist from machine learning, Prognos’s AI platform facilitates early disease detection, pinpoints therapy requirements, highlights opportunities for clinical trials, notes gaps in care and other factors for a number of conditions.                Industry impact: Last year Prognos reportedly raised $20.5 million in a Series C funding round.

Market Insights: AI’s Impact on Health Care

Emerging Artificial intelligence (AI) technologies can help organizations create more value for their patients and communities by converting time-consuming, labor-intensive and often inefficient tasks and functions into actionable information to produce better outcomes.

Tastier coffee, hurricane prediction and fighting the opioid crisis: 31 ways blockchain AI make a powerful pair

It turns out they actually work well in unison, too, building and organizing immense databases, strengthening cybersecurity protocols and performing tasks in a fraction of the time it takes humans.

How it’s using blockchain: Finalze is a software platform that uses blockchain and machine learning to build applications aimed at improving civil infrastructure.

The company’s tools automate and speed up construction industry workflow, management and verification processes, and its technology also integrates with wearables to meet safety regulations.

       Industry Impact: Hailing from some of the largest tech organizations in the world (including Apple, Intel, NVIDIA and MIT), Blackbox AI’s engineers have devised AI-based tools for everything from virtual reality to natural language processing.

How it’s using blockchain: Core Scientific integrates personalized blockchain and AI infrastructure with current business networks, in the process upgrading a business's infrastructure, servers and software that perform everything from supply chain monitoring to real-time data reporting.

Because blockchain and AI take up massive amounts of computer processing and power, Core Scientific ensures that company controlled data centers and blockchain and AI infrastructures always run at optimal efficiency.

Location: Denver How it’s using blockchain: Bext360 uses AI and blockchain to boost supply chain transparency and efficiency in the coffee, timber, seafood and mineral industries.

The company’s artificial intelligence analyzes crops and predicts growing patterns, while blockchain ensures the recording of a product's supply chain from seed to finished product.

Industry impact: Bext360 has applied mobile apps, bots and blockchain to the coffee supply chain to create a more transparent and ethical journey from bean to cup.

The company’s AI measures the quality of coffee beans and predicts weather and growing patterns, while the blockchain immutably records the farm where the beans originated and the exact specifications of a coffee shipment.

Its Trusted Analytics Chain (TAC) secures an energy company’s data, anonymously culls it from multiple locations and companies and uses smart contracts to give businesses better overall insights into the energy industry.

How it’s using blockchain: CoinGenius is an AI-driven cryptocurrency trading platform that gives crypto traders AI-based scoring systems, high-quality data feeds and advanced forecasting so they can personalize news and trading features to maximize their efforts.

Industry Impact: CoinGenius’ full array of tools, scheduled to be fully developed sometime in the first half of 2019, will feature news, activities and trading information from reputable crypto sources like Hackernoon, Medium and Coindesk.

In order to use the library’s free phone charging station, patrons must first watch a 15-30 second video clip on a blockchain-enabled IoT device that records subsequent survey answers.

Location: San Francisco How it’s using blockchain: Figure uses blockchain and artificial intelligence to streamline the home loan process by finding new access points for consumer credit products, including home equity lines of credit, home improvement loans and even home buy-lease offerings for retirement.

The company claims that money is available only a few hours after customers fill out a loan application.   Industry Impact: Established by former SoFi founder Mike Cagney, Figure has raised more than $115 million since its inception in early 2018.

A blockchain powers the company’s investor referral and suitability checking process so companies can rest assured they're working with only high quality partners.

By storing medical information on a blockchain, a patient’s medical staff can use AI to personalize treatments and nutrition plans, increase patient/doctor communication and even search for clinically relevant medical studies almost instantly.

The company’s “Work Heuristics Management” uses smart contracts and machine learning to capture customer-specific, work-related characteristics from all SaaS platforms in a businesses’ ecosystem in order to reduce the time people spend on repetitive tasks like customer retention and analysis processes.

        Industry Impact: WorkDone’s browser plugin studies a businesses’ repetitive tasks and then trains itself to perform those tasks (so far they include invoice processing and customer support-related work).

Once a user puts his or her video up for sale, potential buyers — say, marketers that need compelling footage — can scroll through the app and find what they need.

The company's portfolio includes an AI-powered data exchange platform, real-time mapping tool, an insights dashboard and blockchain so an autonomous vehicle can quickly absorb, interpret and safely store data.

Industry impact: The LiveEdu platform has more than 270,000 educational videos on how to create everything from video games and augmented reality tools to data science databases and artificially intelligent robots.

Featuring a weekly data science competition that runs Ethereum and machine learning, NUMERAI gives scientists raw data on machine learning problems, the scientists create models based on the data.

Industry impact: Computable is in the process of developing specific marketplaces for the healthcare, civics and business industries to collect and share data — with the permissioned members in a community — that will increase efficiency.

Synapse AI’s reward-based data sharing marketplace encourages users to share their data, which in turn enables data purchasers in the advertising, education, entertainment and pharmaceutical industries to access a larger data pool.

In combating “fake news,' the company deploys AI to classify and file content based on credibility indicators that identify misinformation, hate speech and satire.

Industry impact: In the aftermath of the 2016 presidential election, Blackbird.AI has constantly scanned a myriad of news outlets for fake articles, references, websites, social media pages and even memes to ensure that content is truthful and credible.

There are many ways the company implements these technologies in the healthcare industry, including a digital urgent care platform, an identity verification system, a data encryption tool, a crypto payment system and a database for clinical trials.

MD vs. Machine: Artificial intelligence in health care

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