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.

Big Tech player dives deep into medical imaging with ‘purpose-built’ service

The world’s most popular supplier of cloud services has become a dedicated radiology vendor.

artificial intelligence cybersecurity cybercrime patient data privacy

Imaging AI adds value to patient data but also puts it at heightened risk

Healthcare AI continues its march into clinical departments as well as imaging activities. In the process, it’s only multiplying break-and-entry points seductive to cybercriminals.

artificial intelligence money finance acquisition

RapidAI raises $75M in series C financing

The San Mateo, California-based startup said the money will help it tackle more diseases and add further functions to the company's platform.

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

Clinical, IT leaders plan to boost spending on AI, other technologies

Look for AI, 5G and big data analytics to lead all other emerging technologies in reshaping U.S. healthcare over the next several years.

Deep learning detects precancerous changes on mammograms

What’s more, the model proved beneficial in a large, diverse cohort that included women with benign breast disease and BRCA mutations.

AI boosts value of CT lung cancer screening by helping predict death from other diseases

Experts see great promise for improving population health outcomes with such opportunistic screening via low-dose CT, according to a study published in Radiology.

Video of Maddie Jankowski explaining sonographer highlights and trends at the American Society of Echo (ASE) 2023 meeting.

The rise of AI and other key takeaways for sonographers at ASE 2023

Cardiac sonographer Maddie Jankowski, BS, ACS, RDCS, joined us to explore key trends and updates for sonographers from ASE 2023 in National Harbor, Maryland.

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