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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Academic health system working on AI dictation feature for Epic

Chicago-based Rush University System for Health is collaborating with Suki on its development. The two previously partnered on a pilot for an AI clinician assistant, which has since been rolled out across the health system.

Artificial intelligence AI in healthcare

Healthcare AI newswatch: Surgical symphonies, integrated intelligence, generalist AI, more

The surgeon is only one member of a team in the OR. 

primary care provider clinician physician doctor

Primary care is primed for AI. But is AI aligned with primary care?

Fewer than one-third of primary care clinicians have a say in selecting the AI products their institutions expect them to fold into their clinical workflows. That’s a problem. 

Jason Poff, MD, director of innovation deployment for artificial intelligence (AI) at RadPartners, explains the five-step process he uses to evaluate medical imaging AI.

5 steps for evaluating radiology AI applications

Jason Poff, MD, director of innovation deployment for artificial intelligence at Radiology Partners, explains the process he uses to evaluate medical imaging AI. 
 

AI detects subtle changes in images over time.

Adaptable AI system detects subtle changes in imaging, has potential across multiple clinical settings

The Learning-based Inference of Longitudinal imAge Changes, or LILAC, system harnesses machine learning to review medical images that have been collected over a prolonged period.

Good Pixel Smartwatch Loss of Pulse.

FDA clears Google smartwatch tech that calls 911 when a user’s heart stops

Google worked with AI specialists, cardiologists and even stunt performers to develop its new smartwatch feature.

Compremium has developed a noninvasive external assessment that does away with needles for the diagnosis of venous pressure conditions using AI-enabled monitoring.

Healthcare AI newsmakers: Chief AI & transformation officers, AI Rorschach testers, citizens united for responsible healthcare AI, more

Less alarm fatigue in overworked pediatric nurses means more time for imperiled pediatric patients. 

AI pain management

Machine learning vs. bodily pain: 5 points of promise and challenge

We have seen the future of pain management, and it is in automated assessments aided by AI.

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