By Cassandra Balentine
The healthcare industry is vast, in addition to enabling businesses in this field to be more efficient and profitable; advancements in artificial intelligence (AI) are literally saving lives when it comes to healthcare.
According to the recent report, Healthcare Artificial Intelligence Market Size By Application (Medical Imaging & Diagnosis, Drug Discovery, Therapy Planning, Hospital Workflow, Wearables, Virtual Assistants) Industry Analysis Report, Regional Outlook, Application Potential, Competitive Market Share & Forecast, 2019 – 2025, by Global Market Research, Inc., the healthcare AI market size was valued at $1.3 billion USD in 2018 and is expected to witness 41.7 percent compound annual growth rate from 2019 to 2025.
Uses for AI in healthcare include robot-assisted surgery, virtual nursing assistance, dosage error reduction, clinical trials, preliminary diagnoses, and automated image diagnosis using technologies like machine learning, query tools, and natural language processing.
Many technology providers are working to improve the future of healthcare. Here we highlight top vendors in the space.
CloudMedx Inc. integrates with existing workflows to generate automated clinical insights, aimed at improving operations, case management, and revenue cycle management for health organizations. CloudMedx integrates natural language understanding and deep learning with major electronic health records and healthcare organizations nationwide. The CloudMedx integrated suite of technologies currently incorporates three tools—the Coding Analyzer enhances the medical documentation process, the Clinical Analyzer generates clinical insights such as risk predictions and operational analytics, and the CloudMedx patient application provides easy access to patient data, a smart symptom checker, and personalized educational materials.
Deep Genomics is developing a universe of individualized genetic medicines by creating AI systems used to accelerate all steps of drug discovery and development, including target discovery, lead optimization, toxicity assessment, and innovative trial design. Since its inception in 2015, the company has used high throughput assays and advanced robotics systems to generate billions of data points and has built dozens of carefully engineered and validated machine learning systems that support drug development.
Edison is GE Healthcare’s intelligence platform, which is designed to achieve efficiency, improve patient outcomes, and increase access to care. Embedded within existing workflows, Edison applications integrate and assimilate data from disparate sources, and apply analytics or advanced algorithms to generate clinical, operational, and financial insights. According to the company, Edison solutions can be securely deployed via the cloud, Edison HealthLink, or directly onto smart devices.
General Vision is developing leading-edge pattern and image recognition solutions powered by its own neuromorphic AI chips. Its mission is to develop practical AI components in terms of dynamic trainability, speed, power consumption, footprint, and cost.
Google AI aims to advance a variety of fields with the help of AI and AI research, including healthcare and biosciences. According to the company, machine learning has dozens of possible application areas, but healthcare stands out as an opportunity to benefit people—and working closely with clinicians and medical providers, it says it is developing tools that it hopes will improve the availability and accuracy of medical services.
Watson Health is a business unit of IBM dedicated to the development and implementation of cognitive and data-driven technologies to advance health. Watson Health technologies tackle a range of the world’s biggest healthcare challenges including cancer, diabetes, and drug discovery. It provides products, services, and thought leadership on AI in healthcare.
Among its AI offerings, Intel provides Predictive Model Toolkits, which are designed to help make predictive clinical analytics more accessible for healthcare organizations by offering pre-defined models, test data, implementation guides, and data science notebooks.
Microsoft applies its computer science expertise to enable data-driven healthcare, enhance wellness, and accelerate progress in life sciences. AI, machine learning, data management, and cloud computing drive research initiatives to better understand biology, guide the development of medical treatments, and analyze data streams. Medical, health, and genomics research at Microsoft is multidisciplinary. According to the company, researchers collaborate across divisions and product groups within the company and forge partnerships with academia, industry, organizations, foundations, hospitals, and government agencies to achieve profound and lasting impacts on human health.
NVIDIA Corporation provides AI solutions for healthcare and life sciences. NVIDIA Clara is an intelligent compute engine for these industries. It is designed to provide access to technological advancements in hardware and software across medical imaging and genomics. Further, Clara Genomics addresses the size and complexity of genomics sequencing and analysis with accelerated and intelligent computing. Further, NVIDIA AGX is an AI computer for intelligent medical instruments. Based on the NVIDIA Xavier AI computing module and NVIDIA Turing GPUs, this computing architecture delivers AI inferencing on NVIDIA Tensor Cores; acceleration through NVIDIA CUDA accelerated computing platform and NVIDIA RTX graphics. Its flexible design enables it to scale from entry-level devices to the most demanding 3D devices.
Optum is an information and technology-enabled health services business dedicated to improving healthcare. The company delivers intelligent, integrated solutions that help modernize the health system and improve overall population health. Its solution, OptumIQ, powers intelligence across the healthcare system. It represents the unique combination of data, analytics, and healthcare expertise infused into its products and services. These capabilities are designed to provide customers with a comprehensive view of performance while delivering dynamic and multi-dimensional insights that get smarter every day.
In the Spring of 2018, Philips launched an AI platform for healthcare. HealthSuite Insights provides data scientists, software developers, clinicians, and healthcare providers access to advanced analytic capabilities to curate and analyze healthcare data and provide the tools and technologies to build, maintain, deploy, and scale AI-based solutions. Insights Marketplace is designed to provide an ecosystem where curated AI assets from Philips and others are readily available for license.
Stryker is a medical technology company with a focus on making healthcare better. It offers innovative products and services in orthopaedics, medical and surgical, and neurotechnology and spine designed to help improve patient and hospital outcomes.
A division of Verint, Next IT focuses on healthcare applications of its AI solutions, including everything from administration to clinical support. Verint Next IT provides intelligent solutions to modern healthcare challenges. For administrative assistance in healthcare, its tools enable users to schedule appointments; send emails, texts, calls, and alerts; simplify form, policy, and procedure interactions; and provide insurance plan enrollment and new member education. For clinical assistant features, it helps answer daily questions about conditions or medication; tracks symptoms and medication; provides medication and appointment reminders; combines patient service programs, promotes reporting, facilitates prescription refills and shipment, and provides health assessments.
AI for Health
There are many opportunities for AI in healthcare. From diagnostics to better patient communication, and even robot-assisted surgery, AI transforms the future of health. Many technology companies see the opportunity and continue to introduce and enhance solutions for this space. AIA
Nov2019, AI Applied