Gradient

Five AI Trends in Healthcare to Watch in 2022

The rapid development of artificial intelligence has resulted in an often-confusing array of available solutions – many of which have been touted to be revolutionizing the healthcare industry. But the reality is that the maturity and domain-specific applicability of these solutions can vary greatly, which makes it especially difficult to identify the most effective technologies for health-specific use cases.

This white paper leverages first-hand experience with planning and implementing AI for healthcare-related applications to introduce five proven AI solutions to challenges that healthcare providers are facing today.

By reading this white paper, you will learn the main opportunities and challenges of

  • structuring clinical notes and extract information with Clinical Language Models;
  • performing routine measurements with Computer Vision;
  • triaging and evaluate patients without face-to-face contact with Chatbots;
  • reducing spending on inpatient and outpatient tests and reducing patient discomfort with Smart Devices;
  • providing a comprehensive picture of patients and preventive care with All-Source Intelligence.

See for yourself.

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The Cornerstones of an Effective Location Data Strategy

Geolocation data provides invaluable insights into the habits and preferences of users, customers and audiences. This white paper helps understand the fundamental opportunities and challenges inherent in using location data for business-critical processes in any industry.

Data Science Project Planning Worksheet

This downloadable worksheet contains five categories of requirements and conditions that a client-side stakeholder in a project involving data science services needs to define to ensure timely delivery, optimized cost and valuable outcomes.

Understanding Topic Modeling and Planning Its Implementation

Topic modeling enables the analysis of text-based data to leverage insights that are difficult to extract and understand to help you optimize costs, improve operations and drive innovation. Read this white paper to understand the fundamentals of topic modeling and learn how to get started implementing it.

Improving Predictive Accuracy

A Fortune 50 healthcare conglomerate wanted to improve the predictive model of a mobile application that helps those suffering from allergic rhinitis to make informed decisions about potential exposure to outdoor allergens by predicting symptom severity.