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.

Apple hires Google’s chief of search and AI

Apple has hired John Giannandrea, Google’s chief of search and artificial intelligence (AI), to run their machine learning and AI strategy, according to the New York Times.

Ohio State AI algorithm can search for 4 types of brain abnormalities in 6 seconds

Ohio State University researchers have developed an artificial intelligence (AI) algorithm able to analyze a single brain CT scan in just six seconds, according to an article published online March 28 by the Lantern.

Brainomix raises $9.8M in funding to market AI solutions

Brainomix, a U.K.-based medical imaging company focused on artificial intelligence (AI), announced Tuesday, April 3, that it has secured $9.8 million (£7 million) to help market its software for treating stroke victims throughout the world.

A radiologist’s guide to deep learning

Eight members of the Association of University Radiologists Radiology Research Alliance Task Force on Deep Learning describe a radiologist-friendly overview examining past, present and future applications and how the field might benefit from embracing deep learning.

AI uses wearable data to predict biological age

Researchers from GERO, a longevity biotech company, and the Moscow Institute of Physics and Technology (MIPT) have developed an artificial intelligence (AI) system that uses physical data collected from wearables to develop digital biomarkers of aging and fragility. Findings were published March 26 in Scientific Reports.

AI supercomputer platform may redefine medical imaging

Nvidia has released a new series of products aimed to accelerate the research and development of artificial intelligence (AI), with one focused on medical imaging, according to a recent article by Forbes.

Google AI algorithm may improve chest x-ray interpretation, radiologist efficiency

New artificial intelligence research from Google, presented at MIT Technology Review's EmTech Digital 2018 conference in San Francisco, may point to reducing the number of radiologist-annotated images required to train a deep learning algorithm for medical imaging applications.

Ohio State researchers devise algorithm for detecting presence, urgency of 4 conditions

A team of Ohio State University radiologists have developed artificial intelligence (AI) that can not only analyze hundreds of CT scans within minutes, but can detect the presence and urgency of hemorrhages, masses, hydrocephalus and stroke, according to the university’s paper, the Lantern.

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