
From the Crow’s Nest: The Search for Perfect Health Data Exchange
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Delivering Technology in a Rapidly Changing Ecosystem
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Health Technology Support for Population Health and Data Integration
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Leveraging Augmented Intelligence To Improve Medical Imaging and Patient Outcomes
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Optimizing EHR value, documentation quality, and physician and patient experiences with Ambient AI
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Using AI and Big Data to Improve Medical Imaging and Care Outcomes
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The current state of AI in Radiology
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Managing the Evolving Data Landscape in Cancer Care and Research
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Imbio-Helping the population breathe with patient-centered AI solutions
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New AI System Focuses on the Patients Instead of Note Taking
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Artificial Intelligence (AI) is a recent advancement in technology that uses intelligent machine learning (ML) algorithms and natural language processing (NLP) to make a machine think and act like a human, predict and respond to actions based on available data. Large amounts of data are getting generated every day in almost all industries. AI helps realize the value of scattered, unused, unattended data by comparing the data patterns (similarities and differences) and turning them into meaningful, valuable information. Basically, it supports humans by interpreting the data. Though AI finds its application in all the industries these days, its role in healthcare is crucial since it helps providers deliver the best care a patient needs. AI helps healthcare providers and payers by automating tedious manual processes, which requires minimum to no human intervention. From appointment scheduling using chatbots or Conversational AI, clinical documentation, and administrative workflow to disease diagnosis, treatment and prevention processes, image recognition, drug research, its applications produce error-free reports with minimal investment. AI-based or AI-assisted applications are widely being used in the healthcare industry.