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 at work

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

bullish investments in healthcare AI

What healthcare AI investors have been saying at HIMSS23

If great power obligates its wielder to exercise great responsibility, those advancing AI in healthcare are up to their necks in duty.

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ChatGPT a ‘substantial first step’ toward AI-drafted radiologist reports

Using an RSNA template, the artificially intelligent chatbot was able to get high marks on report quality for distal radius fractures.


 

OpenAI ChatGPT

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

Healthcare AI news digest

Industry Watcher’s Digest

Buzzworthy developments of the past few days. 

population level clinical insights

Oracle, John Snow helping FDA turn unstructured clinical notes into population health insights

The FDA-led Sentinel Initiative is tapping Oracle’s life-sciences division, Cerner Enviza, to spearhead development of AI tools for rendering EHR-bound clinical notes as usable pointers for clinicians and researchers.

artificial intelligence robot evaluates healthcare data

ChatGPT answers straightforward cardiology questions, but struggles with complex cases

The popular chat-based AI model was able to answer straightforward questions with considerable accuracy. However, it still has certain issues that need to be addressed. 

liver cancer

AI detects more than half of metastases overlooked by radiologists on CT

Reasons for the gap between AI and rads could include the physician's physical and mental condition at the time of the study, experts noted. 

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.