Artificial Intelligence

Artificial intelligence (AI) is becoming a crucial component of healthcare to help augment physicians and make them more efficient. In medical imaging, it is helping radiologists more efficiently manage PACS worklists, enable structured reporting, auto detect injuries and diseases, and to pull in relevant prior exams and patient data. In cardiology, AI is helping automate tasks and measurements on imaging and in reporting systems, guides novice echo users to improve imaging and accuracy, and can risk stratify patients. AI includes deep learning algorithms, machine learning, computer-aided detection (CAD) systems, and convolutional neural networks. 

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98% of healthcare executives believe automated healthcare will improve gaps in care

In a report released by World Business Research (WBR) and Conversa Health, 98 percent of healthcare executives believed automated healthcare will be important to closing gaps in transactional care, continuous and collaborative care experiences.

Trying to gauge AI's in healthcare fields

Artificial intelligence (AI) is a hot topic across medical fields, from handling information technology to its impact in imaging. In an interview with Forbes, Nuance Communications executive vice president and general manager Satish Maripuir discussed its potential to affect various areas in healthcare.

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AI could pose ethical concerns for those in healthcare

In a New England Journal of Medicine article published March 15, researchers at Stanford University raised concerns with the ethical implications of artificial intelligence’s (AI) ability to make healthcare decisions for patients.

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Cigna to answer more than 150 benefits-related questions via Amazon Alexa

Cigna has announced the launch of “Answers by Cigna," an additional skill to the Amazon Alexa voice-controlled device that aims to improve patient health literacy.

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AliveCor's band for Apple Watch accurate in detecting AFib

A Cleveland Clinic study, set to be published in the American College of Cardiology, found the KardiaBand for the Apple Watch was capable of accurately detecting atrial fibrillation (AFib).

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Mayo Clinic boosts clinical trial enrollment by 80% with IBM's Watson

Enrollment for breast cancer clinical trials at Mayo Clinic has risen by 80 percent following the implementation of IBM’s Watson for Clinical Trial Matching.

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HIMSS18: Machine learning system mines data to reduce costs, minimize waste

Orion Health has announced its machine learning system, Amadeus Intelligence, could improve patient care while reducing operating costs by minimizing waste.

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VA, DeepMind partner to predict patient deterioration

The Department of Veterans Affairs (VA) have announced a partnership with DeepMind, the artificial intelligence (AI) section of Alphabet, Google’s parent company, to reduce the rates of patient deterioration during hospital stays.

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