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. 

artificial intelligence in scientific research

3 ‘illusions,’ 3 ‘visions’ that AI-using researchers need to know to avoid

Scientists are people too. As such, when engaged in research projects using AI, they must resist the very human impulse to over-delegate tasks to algorithms.

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Industry Watcher’s Digest

Buzzworthy developments of the past few days.

returns on investment in healthcare artificial intelligence

When big returns on AI investment arrive in healthcare, providers will lag behind suppliers in marking the moment: Moody’s

Years will pass before the global economy’s healthcare sector sufficiently leverages AI to build major financial muscle off of it. And even then, industry players are likely to see gains well ahead of hospitals and health systems. 

The rapid rise of artificial intelligence (AI) has helped cardiologists, radiologists, nurses and other healthcare providers embrace precision medicine in a way that ensures more heart patients are receiving personalized care.

AI helps cardiologists deliver personalized healthcare—but there is still plenty of work to do

A new scientific statement from the American Heart Association explores the many ways AI and machine learning are being used to improve care for heart patients.

artificial intelligence in healthcare

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

disruptive artificial intelligence

Generative AI: Who’s disrupting whom?

Given the speed at which generative AI has penetrated every major sector of human endeavor, no expert in any field should pretend to know how to cleanly separate the disruptors from the disrupted.

artificial intelligence google deepmind

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

legal liability malpractice artificial intelligence

AI in healthcare: 3 areas of likely risk for legal liability

As healthcare AI opens new avenues to improve care quality without unduly increasing operational costs, the technology also expands potential exposure to civil and criminal liabilities. And that’s not only for providers but also payers and suppliers.

Around the web

U.S. health systems are increasingly leveraging digital health to conduct their operations, but how health systems are using digital health in their strategies can vary widely.

When human counselors are unavailable to provide work-based wellness coaching, robots can substitute—as long as the workers are comfortable with emerging technologies and the machines aren’t overly humanlike.

A vendor that supplies EHR software to public health agencies is partnering with a health-tech startup in the cloud-communications space to equip state and local governments for managing their response to the COVID-19 crisis.

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