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. 

doctor telehealth computer screen

Q&A: Virtual health system places bet on primary care as the future of telemedicine

During the COVID-19 pandemic, telehealth provider HealthTap began to emphasize its ability to deliver primary care services. Now, Co-Founder and CEO Sean Mehra says, long-term patient care delivered from anywhere has become its central focus, as advancements in technology made it a reality.

AI helps spot pancreatic cancer over a year before radiologists can

AI model bests radiologists at detecting early signs of pancreatic cancer

The AI framework was designed to identify radiomic signatures of pre-diagnostic pancreatic ductal adenocarcinoma on CT.

M&A mergers and acquisitions business deal

Radiology AI vendor Azra acquires rival firm focused on incidental findings

The Nashville, Tennessee, company—which offers AI to monitor radiology reports for unexpected findings—has reached a deal to buy Thynk Health for an undisclosed sum. 

AI robot

Fearless futurist: ‘In Phase One, AI felt like software. In Phase Two, it feels like a new species of workforce.’

The nonfiction book market is flooded with titles mentioning AI or artificial intelligence. Here’s a new work that will shake your world whether you’re an AI lover, loather or someone in between. 

Ultreon 3.0 Abbott

Abbott gains FDA clearance, CE mark approval for AI-powered imaging platform

Ultreon 3.0 was built to capture and evaluate OCT images, providing real-time guidance during complex PCI procedures.

math billing confusion

What has AI done for healthcare administration lately?

Administrative AI can meaningfully cut providers’ price tags on prior authorization processes. Yet the technology is not doing much to reduce overall system-level costs. And it tends to increase billing intensity, inflating medical spending as it does so. 

colorectal cancer colon CTC CRC colonoscopy

Opportunistic AI detects colorectal cancer using routine, noncontrast CT

The COlorectal Cancer detection with AI, or COCA, model is a cost-effective, scalable solution that turns routine CT scans into opportunistic exams that can be used to proactively identify CRC. 

Patricia Balthazar, MD, MPH, is an Assistant Professor of Radiology and Imaging Sciences at Emory University School of Medicine, Divisions of Abdominal Imaging and Imaging Informaticsm explains if AI in radiology is a friend foe or time thief.

What makes AI a friend, foe or time thief in radiology?

Patricia Balthazar, MD, Emory University School of Medicine, says radiology AI needs to be monitored to ensure it is performing as it is supposed to and not wasting time and money.