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.

Industry Watcher’s Digest
An influential industry group, AdvaMed, really likes President-Elect Trump’s choice of Dr. Oz for CMS administrator.
5 ways to let AI raise patient satisfaction, elevate provider performance
It’s been years since AI proponents started promising big returns on healthcare providers’ investments in the technology. The results have yet to catch up with the pitches. What’s the holdup?
Experts highlight 'significant concerns' with fluctuating accuracy of popular large language models
As these models continue to advance, it is important to understand how their performance holds up over time.
Startup aiming to automate 90% of imaging workflows, creating an ‘AI radiology resident,’ raises $23M
Software engineer and CEO Shiva Suri says he got the idea for New Lantern after watching his radiologist mother bogged down by administrative tasks.
FDA clears AI screening tool for cardiac amyloidosis
Ultromics designed EchoGo Amyloidosis to evaluate routine echocardiogram results for signs of cardiac amyloidosis. It received the FDA's breakthrough device designation back in 2023.

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.

January 14, 2019

Machine learning hype is increasing among imaging professionals, report finds

According to a new market report from Reaction Data, 77 percent of medical imaging professionals believe that machine learning is “important," compared to 65 percent in 2017. Additionally, 59 percent of respondents reported they “understand” machine learning in 2018, compared to 52 percent in 2017.

January 10, 2019

AI-driven robot industry to approach $19B market by 2020

Thanks to the rise of AI technologies and more healthcare agencies embracing assistive robots, the personal robotics industry is expected to be an $18.85 billion market opportunity by 2020, according to a report by Frost & Sullivan.

January 10, 2019

AI beats experts at detecting cervical precancer

A newly developed deep learning algorithm more accurately detected cervical precancer than highly experienced physicians and current testing methods, reported authors of a Jan. 10 study published in the Journal of the National Cancer Institute.

January 10, 2019

International team uses AI to uncover cellular makeup of various brain regions

With data obtained from fMRI scans and machine learning, National University of Singapore-led (NUS) researchers have a better understanding of the cellular architecture of the brain.

January 10, 2019

AI technology identifies rare genetic diseases from facial photos

A new artificial intelligence (AI) technology that can identify rare genetic diseases through analyzing an image of a patient's face could help cut diagnosis times for rare diseases and provide more personalized care, according to a new study published online Jan. 7 in Nature Medicine.

January 9, 2019

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.

January 9, 2019

How virtual reality is taking surgical training to the next level

At Stanford University Medical School in California, virtual reality is helping to make surgical training and planning more efficient and patient-centered all while reframing education for medical students, according to an article published online Jan. 9 by Fortune.

January 9, 2019

Artificial Intelligence

Industry Watcher’s Digest

5 ways to let AI raise patient satisfaction, elevate provider performance

Experts highlight 'significant concerns' with fluctuating accuracy of popular large language models

Startup aiming to automate 90% of imaging workflows, creating an ‘AI radiology resident,’ raises $23M

FDA clears AI screening tool for cardiac amyloidosis