AI and Healthcare Are Made for Each Other
Artificial intelligence has the potential to radically change healthcare. Imagine a not too distant future when the focus shifts away from disease to how we stay healthy.
At birth, everyone would get a thorough, multifaceted baseline profile, including screening for genetic and rare diseases. Then, over their lifetimes, cost-effective, minimally invasive clinical-grade devices could accurately monitor a range of biometrics such as heart rate, blood pressure, temperature and glucose levels, in addition to environmental factors such as exposure to pathogens and toxins, and behavioral factors like sleep and activity patterns. This biometric, genetic, environmental and behavioral information could be coupled with social data and used to create AI models. These models could predict disease risk, trigger advance notification of life-threatening conditions like stroke and heart attack, and warn of potential adverse drug reactions.
Health care of the future could morph as well. Intelligent bots could be integrated into the home through digital assistants or smartphones in order to triage symptoms, educate and counsel patients, and ensure they’re adhering to medication regimens.
AI could also reduce physician burnout and extend the reach of doctors in underserved areas. For example, AI scribes could assist physicians with clinical note-taking, and bots could help teams of medical experts come together and discuss challenging cases. Computer vision could be used to assist radiologists with tumor detection or help dermatologists identify skin lesions, and be applied to routine screenings like eye exams. All of this is already possible with technology available today or in development.
But AI alone can’t effect these changes. To support the technical transformation, we must have a social transformation including trusted, responsible, and inclusive policy and governance around AI and data; effective collaboration across industries; and comprehensive training for the public, professionals and officials. These concerns are particularly relevant for health care, which is innately complex and where missteps can have ramifications as grave as loss of life. There will also be challenges in balancing the rights of the individual with the health and safety of the population as a whole, and in figuring out how to equitably and efficiently allocate resources across geographical areas.
Data is the starting point for AI. And so we need to invest in the creation and collection of data–while ensuring that the value created through the use of this data accrues to the individuals whose data it is. To protect and preserve the integrity of this data, we need trusted, responsible, inclusive legal and regulatory policies and a framework for governance. GDPR (General Data Protection Regulation) is a good example: in the E.U., GDPR went into effect in May 2018, and it is already helping ensure that the health care industry handles individuals’ information responsibly.
Commercial companies cannot solve these problems alone–they need partnerships with government, academia and nonprofit entities. We need to make sure that our computer scientists, data scientists, medical professionals, legal professionals and policymakers have relevant training on the unique capabilities of AI and an understanding of the risks. This kind of education can happen through professional societies like the American Society of Human Genetics and the American Association for the Advancement of Science, which have the necessary reach and infrastructure.
This article originally appeared on time.com To read the full article and see the images, click here.
Nastel Technologies uses machine learning to detect anomalies, behavior and sentiment, accelerate decisions, satisfy customers, innovate continuously. To answer business-centric questions and provide actionable guidance for decision-makers, Nastel’s AutoPilot® for Analytics fuses:
- Advanced predictive anomaly detection, Bayesian Classification and other machine learning algorithms
- Raw information handling and analytics speed
- End-to-end business transaction tracking that spans technologies, tiers, and organizations
- Intuitive, easy-to-use data visualizations and dashboards
Nastel Technologies is the global leader in Integration Infrastructure Management (i2M). It helps companies achieve flawless delivery of digital services powered by integration infrastructure by delivering tools for Middleware Management, Monitoring, Tracking, and Analytics to detect anomalies, accelerate decisions, and enable customers to constantly innovate, to answer business-centric questions, and provide actionable guidance for decision-makers. It is particularly focused on IBM MQ, Apache Kafka, Solace, TIBCO EMS, ACE/IIB and also supports RabbitMQ, ActiveMQ, Blockchain, IOT, DataPower, MFT, IBM Cloud Pak for Integration and many more.
The Nastel i2M Platform provides:
- Secure self-service configuration management with auditing for governance & compliance
- Message management for Application Development, Test, & Support
- Real-time performance monitoring, alerting, and remediation
- Business transaction tracking and IT message tracing
- AIOps and APM
- Automation for CI/CD DevOps
- Analytics for root cause analysis & Management Information (MI)
- Integration with ITSM/SIEM solutions including ServiceNow, Splunk, & AppDynamics