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. 

RSNA unveils the 10 most cited Radiology studies of 2023

ChatGPT was a popular topic among readers of the Radiological Society of North America's flagship scientific journal. 

Video of Dhruv Mehta explaining the two new Canon AI-enabled CT systems launched at the 2023 RSNA. #CanonMedical #RSNA #RSNA23 #RSNA2023

Canon launches two new AI-based CT systems

The company unveiled its latest computed tomography systems at RSNA 2023, aiming to address staffing shortages and improve image quality. 

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New imaging vendor focused on AI, robotics raises $36M with help from GE Healthcare

The funds are expected to go toward bringing in new employees and accelerating the development of a new cardiac imaging offering. 

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Implementation of AI-based detection aid has no impact on radiologists’ workload, stress

UPDATED: Numerous studies have explored artificial intelligence's use in imaging, but researchers rarely take radiology’s complex work environment into account, experts noted.

shoulder injury examination

AI system able to identify standard plane, segment tissue in ultrasounds of shoulder

The combined-AI system used for this research “demonstrated superior performance compared with similar studies for both functions,” researchers noted.

Video interview with Nina Kottler, MD, MS, associate chief medical officer for clinical AI, Radiology Partners, explains what radiology practices should consider when assessing artificial intelligence (AI) return on investment in an era where there is little reimbursement. #RSNA #RSNA23 #RSNA2023 #HealthAI #AIhealthcare

Artificial intelligence ROI considerations in radiology

Rad Partners' Nina Kottler, MD, explains what practices should consider when assessing artificial intelligence solutions in an era where there is little reimbursement.  
 

Healthcare artificial intelligence

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

ethical healthcare artificial intelligence

Ethical healthcare AI in 8 mnemonic elements

Artificial intelligence researchers are making a “great plea” to guide the ethical development and use of generative AI in medicine.