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. 

RSS icon
Thumbnail

RSNA launches new journal focused on AI in radiology

RSNA has published the debut issue of its new online journal, Radiology: Artificial Intelligence.

Thumbnail

Is AI keeping medical students from pursuing a career in radiology?

Though artificial intelligence continues to make great strides within radiology, some radiologists are still unprepared to educate medical students regarding its usage, according to a new commentary published in Academic Radiology.

Thumbnail

Alphabet CFO discusses AI’s impact on breast cancer care at World Economic Forum

At the World Economic Forum in Davos, Switzerland, Alphabet CFO Ruth Porat detailed the significant impact artificial intelligence (AI) technologies are having on breast cancer care

Thumbnail

Healthcare 1 of 13 industries to be radically changed by AI

Healthcare, including imaging, is one of 13 industries that will soon be “revolutionized" by artificial intelligence (AI) and machine learning (ML) technologies, according to a new report published in Forbes.

Thumbnail

AI helps radiologists assess axillary lymph nodes

Artificial intelligence (AI) can be trained to predict a patient’s likelihood of axillary lymph node metastasis using a breast MRI dataset, according to a study published in the Journal of Digital Imaging.

Thumbnail

Researchers receive $196K grant to address issues related to AI, transparency in healthcare

Researchers at Duke University have been awarded a $196,000 grant to address a growing issue related to the use of artificial intelligence (AI) in healthcare: the gray area between explaining decisions to patients and protecting trade secrets associated with clinical decision support (CDS) software. 

Thumbnail

NHS hopes AI can help make up for ongoing radiologist shortage

Various companies are working with the National Health Service (NHS) in England to see if their artificial intelligence (AI) technology can identify signs of breast cancer as well as radiologists, according to a report from the Financial Times. 

Thumbnail

Appreciation of machine learning on the rise among imaging professionals

How significant is the hype surrounding artificial intelligence and machine learning in radiology? According to new market research from Reaction Data, 77 percent of imaging professionals said they think machine learning is important when asked about it in 2018, up from 65 percent in 2017.

Displaying 601 - 608 of 748

Around the web

Health Imaging
Nearly $800,000 settlement offered to family of man who died during MRI exam

The patient, who was being cared for in the ICU, was not accompanied or monitored by nursing staff during his exam, despite being sedated.

Cardiovascular Business
Global shortage of nuclear imaging isotopes may be over

The nuclear imaging isotope shortage of molybdenum-99 may be over now that the sidelined reactor is restarting. ASNC's president says PET and new SPECT technologies helped cardiac imaging labs better weather the storm.

Cardiovascular Business
‘A huge win’: CMS significantly increases Medicare payments for cardiac CT

CMS has more than doubled the CCTA payment rate from $175 to $357.13. The move, expected to have a significant impact on the utilization of cardiac CT, received immediate praise from imaging specialists.