Health IT

Healthcare information (HIT) systems are designed to connect all the elements together for patient data, reports, medical imaging, billing, electronic medical record (EMR), hospital information system (HIS), PACS, cardiology information systems (CVIS), enterprise image systems, artificial intelligence (AI) applications, analytics, patient monitors, remote monitoring systems, inventory management, the hospital internet of things (IOT), cloud or onsite archive/storage, and cybersecurity.

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Example of AI automated detection and highlighting of critical lung findings on a chest X-ray for a possible lung cancer nodule and fibrosis. Example shown by AI vendor Lunit.

PHOTO GALLERY: Examples of FDA-cleared AI in radiology

This is a photo gallery of artificial intelligence products cleared for clinical use in medical imaging by the U.S. Food and Drug Administration. Radiology by far is the leader of all clinical AI FDA approvals.

nonclinical augmented intelligence american medical association

ChatGPT's medical writing is getting so good that it may soon fool AI detectors

The large language model’s medical manuscripts are becoming so well constructed that it can be difficult to distinguish them from those compiled by humans. 

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Providers' opinions on giving patients open access to their radiology reports are evolving

Online access to medical records has become standard practice, making sharing radiology reports and communicating findings much more streamlined.

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AI rules out abnormal findings on chest X-rays, significantly reducing workloads

The commercially available software can correctly exclude pathology on chest radiographs with accuracy rates similar to those of radiologists.

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How GPT-4 can improve radiology resident report feedback

With resources stretched thin at many facilities, this type of feedback can often be limited.

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Meta's new large language model excels at board-style radiology prompts

Meta Llama 3—a newer open-source large language model—may soon be giving other LLMs a run for their money in the medical field.

American College of Radiology (ACR) CEO Dana H. Smetherman, MD, MPH, MBA, FACR, explains why opportunistic screening is an important AI imaging technology trend radiology practices should be paying attention.

AI opportunistic screening may have tremendous potential to help patients, ACR CEO says

American College of Radiology leader Dana Smetherman, MD, MBA, discusses the new technology trend and why radiologists should be paying attention. 

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Automated CT-derived markers identify those at higher risk of developing diabetes and other conditions

These measures could be utilized as an opportunistic screening tool in individuals who undergo routine health screenings.

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Around the web

Cardiovascular Business
Cardiology, radiology specialists debate CCTA’s rise as a go-to imaging modality for CAD

CCTA is being utilized more and more for the diagnosis and management of suspected coronary artery disease. An international group of specialists shared their perspective on this ongoing trend.

Cardiovascular Business
New AI program delivers rapid, accurate echo video assessments

The new technology shows early potential to make a significant impact on imaging workflows and patient care. 

Radiology Business
Key Medicare reimbursement and No Surprises Act updates from RSNA 2024

Richard Heller III, MD, RSNA board member and senior VP of policy at Radiology Partners, offers an overview of policies in Congress that are directly impacting imaging.