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.

AI newswatch: Nurses want in, transcriptionists on the way out, blockchain going up, more
If doctors are the heart of the hospital, nurses are surely the soul. And if that’s so, today’s AI has to be something like a nutritional supplement for the brains of the operation.
Real-world use of generative AI boosts radiologist productivity by up to 40%
“For me and my colleagues, it’s not an exaggeration to say that it doubled our efficiency," says radiologist Samir F. Abboud, MD, chief of emergency radiology at Northwestern.
Research review: Patients have understandably mixed feelings about AI in healthcare
A new review of the relevant scientific literature suggests many if not most patients are aware that healthcare AI’s emerging benefits exist side-by-side with its persistent uncertainties.
AI detects twice as many incidental lesions as radiologists
Prior research has suggested that these incidental lesions turn out to be cancerous in up to 70% of cases, making their timely detection critical.
A closer look at GE HealthCare's new lower-cost cardiac CT scanner
As cardiac CT continues to get used more and more, GE HealthCare has launched a new scanner designed to meet the needs of both outpatient imaging centers and larger hospitals.

Medical imaging trends to watch in 2025

The healthcare market analysis firm Signify Research released a list of predictions in radiology its analysts expect to see in 2025.

GPT-4 helps ensure recommendations for additional imaging aren't overlooked in reports

Recommendations for additional imaging are routinely included in radiology reports but are sometimes overlooked or not communicated in a timely manner. Experts believe large language models can help address these lapses in care.

GPT-4 can proofread radiology reports for a penny apiece

Researchers estimate that it could cost less than $0.01 per report to use the large language model as a radiology report proofreader.

Industry Watcher’s Digest

This is the week of DeepSeek.

radiology reporting EHR health record CDS AUC

How a health system automatically integrates AI results into radiology reports

The University of Pennsylvania in Philadelphia has aimed to tackle this conundrum, developing a deep learning-based image analysis tool and AI “orchestrator.”

Radiology AI vendor Quibim raises $50M in Series A financing round

The Spain-based company offers a suite of solutions to aid in interpreting MRI, CT, and PET scans, boasting 170 installations across the globe.

5 ways GenAI can enhance graduate medical education

Generative AI has a bright future in medical education. That goes not only for medical schools but also for postgraduate settings in which residents and fellows do most of their learning while also caring for patients.

artificial intelligence AI money brain dollar

Imaging artificial intelligence firm Rad AI raises $60M, boosts value to $525M

Boston-based growth equity firm Transformation Capital led the Series C funding round, which increases Rad AI’s war chest to over $140 million.

Artificial Intelligence

AI newswatch: Nurses want in, transcriptionists on the way out, blockchain going up, more

Real-world use of generative AI boosts radiologist productivity by up to 40%

Research review: Patients have understandably mixed feelings about AI in healthcare

AI detects twice as many incidental lesions as radiologists

A closer look at GE HealthCare's new lower-cost cardiac CT scanner