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.

Newswatch: AI-eager doctors, AI-reticent buyers, AI cost worriers, more
In medicine’s next chapter, AI literacy will separate physician leaders from peer followers.
7 pointers for AI-driven quality control in medicine
By automating repetitive tasks and ensuring consistent “QC,” well-deployed AI not only unburdens healthcare professionals but also sets new standards for efficiency and reliability in medical practice.
AI-powered risk model evaluates long-term risk of coronary artery disease
The advanced machine learning model tracks more than 50 different factors to make its predictions. It has already been found to be more accurate than popular prediction methods for heart disease that are currently available.
Enforcement of rule regulating discrimination in AI use will start May 1, ACR warns
However, it’s still uncertain whether the Trump administration will follow through with the new HHS policy update.
Only 4% of women comfortable with AI serving as sole reader of mammograms
“Incorporating patient perspectives into AI implementation strategies ensures that these technologies improve and not hinder patient care," one expert contends.

New scoring systems help grade the accuracy of AI-generated radiology reports

Health systems need to trust that artificial intelligence-based reports are accurate and complete.

New research on AI-based CCTA assessments wins Best Abstract at SCCT 2023

Out of more than 250 abstracts submitted at its annual meeting in Boston, SCCT named one winner and two runners-up.

AI reduces radiologists’ mammography screen-reading workload by 44%

The technology was able to detect about 20% more cancers when compared to standard screening, without impacting false positives.

artificial intelligence healthcare industry digest

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

cybersecurity security AI and automation

Automated, AI-equipped security tools help hold the line on data breaches

When it comes to identifying and containing data breaches, organizations armed with security AI plus automation spend 108 days fewer than their differently prepared counterparts.

HeartFlow's RoadMap technology where AI reads the image in a first pass to highlight areas of interest with for the radiologist or cardiologist on coronary CT scan. The technology was shown to reduce reading time by 25%.

Three studies show value of AI to speed cardiac CT reads and soft plaque evaluation

AI to help interpret cardiac CT was shown to reduce exam read times to improve workflow efficiency, and improve patient diagnostics with additional information on soft plaques. Data was presented in three HeartFlow AI technology studies at SCCT 2023.

RadNet bolsters C-suite, hiring 2 executives from Philips to fuel growth initiatives

The Los Angeles-based imaging center operator believes its expanding management team is "indicative of strong momentum" within RadNet's business lines.

FDA clears new AI to guide point-of-care cardiac ultrasound exams

The FDA approved UltraSight's AI to show ultrasound users how to perform a diagnostic quality cardiac ultrasound exam at the point of care in multiple settings.

Artificial Intelligence

Newswatch: AI-eager doctors, AI-reticent buyers, AI cost worriers, more

7 pointers for AI-driven quality control in medicine

AI-powered risk model evaluates long-term risk of coronary artery disease

Enforcement of rule regulating discrimination in AI use will start May 1, ACR warns

Only 4% of women comfortable with AI serving as sole reader of mammograms