Medical Imaging

Physicians utilize medical imaging to see inside the body to diagnose and treat patients. This includes computed tomography (CT), magnetic resonance imaging (MRI), X-ray, ultrasound, fluoroscopy, angiography,  and the nuclear imaging modalities of PET and SPECT. 

RSS icon
RSNA 2019

RSNA reflects on 2019 annual conference, AI's importance to radiology

RSNA has announced that the official registration number for RSNA 2019 was 51,800, with another 6,754 participants registering for the online virtual meeting.

January 14, 2020

Aidoc’s AI solution for LVOs gains FDA clearance

Aidoc announced Monday, Jan. 13, that its AI solution for detecting large-vessel occlusions (LVOs) in head CTA examinations has gained FDA clearance.

January 13, 2020
Damaged Organ

Effective AI: Deep learning able to differentiate small solid renal masses

Deep learning could potentially assist healthcare providers with the evaluation of small renal masses detected on certain contrast-enhanced CT exams, according to a new study published in the American Journal of Roentgenology.

January 10, 2020
blockchain chain

4 limitations of blockchain technology every imaging researcher should know

Anyone looking to learn more about blockchain should keep these limitations in mind at all times.

January 8, 2020
A survey conducted by the Ann and Robert H. Lurie Children's Hospital of Chicago found more than 75% of parents are generally receptive to the use of artificial intelligence (AI) tools in the management of children with respiratory illnesses in the emergency department (ED). However, some demographic subgroups, including non-Hispanic black and younger age parents, had greater reservations about the use of these technologies. 

3 key differences between the diagnostic reasoning of humans and AI

The use of AI in healthcare is rapidly rising, but healthcare providers remain an absolutely essential part of patient care, according to a new analysis published in CMAJ.

January 8, 2020
artificial-intelligence-3382507_960_720.jpg

AI solution for skin cancer receives 2 FDA Breakthrough Device designations

3Derm Systems, a Boston-based skin imaging and diagnostics company, has received two FDA Breakthrough Device designations for its 3DermSpot AI solution.

January 7, 2020
istock-671893136.jpg

Google's AI model outperforms radiologists in breast cancer detection, prediction

Deep-learning based AI models can identify breast cancer more accurately than radiologists, according to new research published in Nature. What does this mean for the future of cancer detection?

January 2, 2020
gadolinium, GBCAs

How AI could limit gadolinium use when treating MS

Deep learning (DL) can predict and enhance MS lesions on unenhanced MRI scans, according to a new study published in Radiology. 

December 20, 2019
Displaying 73 - 80 of 224

Around the web

Health Exec
These health systems have the biggest digital health portfolios

U.S. health systems are increasingly leveraging digital health to conduct their operations, but how health systems are using digital health in their strategies can vary widely.

Health Exec
Toylike robot pleases counseling clients where humanoid counterpart struggles to connect

When human counselors are unavailable to provide work-based wellness coaching, robots can substitute—as long as the workers are comfortable with emerging technologies and the machines aren’t overly humanlike.

Health Exec
Medsender, Patagonia Health team up to aid public health efforts against COVID-19

A vendor that supplies EHR software to public health agencies is partnering with a health-tech startup in the cloud-communications space to equip state and local governments for managing their response to the COVID-19 crisis.

Design by Adaptive Theme
Trimed Popup
Trimed Popup