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

Big data & radiology

Although radiology made tremendous progress in the last two decades in the transition from film to digital, the terabytes of data housed in radiology departments remain stagnant and under-used, according a perspective in March issue of Journal of the American College of Radiology. However, the capability to transform “dumb” data into knowledge has arrived, with pioneers demonstrating the value of the approach.

Mapping radiation therapy: Brain models could help preserve function after treatment

The creation of a model of radiation-induced cognitive decline appears to be feasible and may guide radiation oncologists who treat brain tumors in preserving brain function while still eradicating cancer, according to research published in the February issue of Journal of Neurology.

Google-like model shows how lung cancer metastasizes

A mathematical model similar to Google PageRank has challenged the traditional medical view that metastatic lung cancer progresses in a single direction from primary tumor site to distant locations. Instead, researchers found that cancer cell movement around the body likely occurs in more than one direction at a time, according to a study published in Cancer Research.

MR ‘fingerprinting’ could quickly differentiate body tissues, diseases

An MRI method that can scan for the different physical properties in various body tissues and diseases could offer an efficient way to diagnose cancers, multiple sclerosis, heart disease and other conditions, according to an article published online March 13 in Nature.

DTI, computer model may give MDs head-start on brain injury diagnosis

A research team at Johns Hopkins University has designed a tool that may help pinpoint what types of head movements cause concussion-related brain injuries. The research was published in the Jan. 8 edition of the Journal of Neurotrauma.

MR, prostate cancer and active surveillance

Knowledge, or information, is power, and it can lead healthcare providers toward that über critical and elusive goal—value.

Thumbnail

Jury out on MR spectroscopy for breast lesions

A systematic review and meta-analysis of the diagnostic performance of breast proton MR spectroscopy showed variable sensitivity and high specificity in the diagnosis of breast lesions, according to research published online March 6 in Radiology.

MRI shows brain atrophy in mild TBI patients

MRI revealed reduced global and regional brain volume one year after mild traumatic brain injury (MTBI), according to a study published online March 12 in Radiology.

Displaying 1721 - 1728 of 4305

Around the web

Radiology Business
The biggest obstacles facing radiology business managers in 2025

RBMA President Peter Moffatt discusses declining reimbursement rates, recruiting challenges and the role of artificial intelligence in transforming the industry.

Cardiovascular Business
New cardiac prevention paradigm explored in TRANSFORM trial using AI and CCTA

Deepak Bhatt, MD, director of the Mount Sinai Fuster Heart Hospital and principal investigator of the TRANSFORM trial, explains an emerging technique for cardiac screening: combining coronary CT angiography with artificial intelligence for plaque analysis to create an approach similar to mammography.

Cardiovascular Business
Cardiology practices pay $17.7M to settle fraud allegations brought on by whistleblowers

A total of 16 cardiology practices from 12 states settled with the DOJ to resolve allegations they overbilled Medicare for imaging agents used to diagnose cardiovascular disease.