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.

Healthcare AI today: Microsoft’s supersmart medical AI, patients talking street to AI, LLMs don’t really care, more
Patients who put some personality into their symptom descriptions may flummox large language models—to unfortunate effect.
If present trends continue, the healthcare AI revolution may leave 56 million Americans behind
Research into the design and development of AI models for rural healthcare aren’t hard to come by. However, that’s about as far as most of the investigations go.
Mayo Clinic develops AI capable of substantially improving dementia diagnoses
With the software's help, readers are up to three times more accurate and interpretations are nearly twice as fast.
New AI tool outperforms humans at lung tumor segmentation
The iSeg platform has the potential to significantly improve tumor segmentation processes prior to radiation therapy treatment.
AI helps spot fatty liver disease on routine radiographs
If left undiagnosed and untreated for a prolonged period, fatty liver disease can progress to more serious conditions, such as cirrhosis and liver cancer.

Ultrathin human-machine interface device could let robots touch, feel

Scientists at the University of Houston have developed a wearable device that can gather and transmit enough biometric information to go unnoticed by human wearers and could give robots a virtual sense of touch.

Prepare for more AI at RSNA 2019

The 2019 Radiological Society of North America (RSNA) annual meeting in Chicago is expanding its artificial intelligence offerings.

AI improves accuracy, cuts reading times associated with DBT exams

Deep learning can improve the accuracy and efficiency of digital breast tomosynthesis (DBT) examinations, according to new findings published in Radiology: Artificial Intelligence.

Neuroimaging important for evaluating Zika-exposed infants

MRI and CT scans of infants exposed to the Zika virus in the womb revealed a range of brain abnormalities, reported authors of a recent study published in JAMA Network Open. The findings place neuroimaging as an important step in evaluating such patients.

RSNA 2019 to feature new, larger AI Showcase

RSNA announced Wednesday, July 31, that it would be expanding its AI Showcase at RSNA 2019 in Chicago.

AI boosts accuracy of DBT, slashes radiologists’ reading times

Utilizing an AI system for digital breast tomosynthesis (DBT) can improve radiologists’ accuracy while dramatically reducing reading times, according to a new study published in Radiology: Artificial Intelligence.

Deep learning reads x-rays to prevent mispositioned feeding tubes

A deep learning platform can accurately distinguish critical from non-critical feeding tube placement on radiographs, according to a recent study published in the Journal of Digital Imaging.

Progenics Pharmaceuticals working with VA on AI research program

Progenics Pharmaceuticals, a New York City-based oncology and imaging company, has announced a new collaboration aimed at improving care for veterans with prostate cancer.

Artificial Intelligence

Healthcare AI today: Microsoft’s supersmart medical AI, patients talking street to AI, LLMs don’t really care, more

If present trends continue, the healthcare AI revolution may leave 56 million Americans behind

Mayo Clinic develops AI capable of substantially improving dementia diagnoses

New AI tool outperforms humans at lung tumor segmentation

AI helps spot fatty liver disease on routine radiographs