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.

RamSoft and Alpha Nodus partner to streamline imaging prior authorization processes
RamSoft, a leader in cloud-based RIS/PACS radiology solutions, and Alpha Nodus, a developer of AI-driven administrative tools for medical offices, announced their partnership on Wednesday.
GE HealthCare launches new AI-enabled automated breast ultrasound system
Ivenia ABUS Premium was designed to help streamline the supplemental breast ultrasound workloads and enhance diagnoses by improving ease of use and image reproducibility.
AI quantifies breast arterial calcifications on mammograms
There are no standards requiring radiologists to report on the presence of BACs, even though up to half of referring providers have indicated they would prefer to be made aware of the finding.
AI 'not safe' to be implemented as a solo reader for breast cancer screening exams
Despite the great progress that has been made toward the clinical implementation of AI, new data caution against trusting the technology as a single reader in certain settings.
What radiologists think about using ChatGPT and AI in breast imaging
Manisha Bahl, MD, explained that ChatGPT and other large language models offer significant potential to help radiologists with breast imaging exams, but they are "not quite ready for primetime."

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RamSoft and Alpha Nodus partner to streamline imaging prior authorization processes

RamSoft, a leader in cloud-based RIS/PACS radiology solutions, and Alpha Nodus, a developer of AI-driven administrative tools for medical offices, announced their partnership on Wednesday.

GE HealthCare launches AI-enabled automated breast ultrasound system

GE HealthCare launches new AI-enabled automated breast ultrasound system

Ivenia ABUS Premium was designed to help streamline the supplemental breast ultrasound workloads and enhance diagnoses by improving ease of use and image reproducibility.

Breast arterial calcifications (BACs) identified on screening mammograms may help identify women who face a heightened risk of developing cardiovascular disease (CVD), according to a new analysis published in Clinical Imaging.

AI quantifies breast arterial calcifications on mammograms

There are no standards requiring radiologists to report on the presence of BACs, even though up to half of referring providers have indicated they would prefer to be made aware of the finding.

AI not currently safe to use as a standalone reader in breast cancer screenings.

AI 'not safe' to be implemented as a solo reader for breast cancer screening exams

Despite the great progress that has been made toward the clinical implementation of AI, new data caution against trusting the technology as a single reader in certain settings.

Manisha Bahl, MD, breast imaging division quality director and breast imaging division co-service chief, Massachusetts General Hospital, and an associate professor of radiology, Harvard Medical School, explains the findings of a recent study she was involved in at RSNA 2024. She also offers insights into growing interest at sessions in using AI in breast imaging.

What radiologists think about using ChatGPT and AI in breast imaging

Manisha Bahl, MD, explained that ChatGPT and other large language models offer significant potential to help radiologists with breast imaging exams, but they are "not quite ready for primetime."

An overview of artificial intelligence (AI) in radiology with Keith Dreyer with the ACR. Images shows a COVID-19 lung CT scan reconstruction from Siemens Healthineers. #AI #radAI #ACR

Ultralow-dose CT aids in diagnosing pneumonia among immunocompromised patients

In a prospective study involving 54 adults, ultralow-dose CT, denoised with deep learning, “substantially” cut radiation exposure while accurately detecting pneumonia.

Generative AI increases efficiency, quality of radiology reports

Experts note that multimodal GenAI presents a “transformative opportunity” to increase the efficiency and accuracy of radiologist reporting.

FDA clears AI-assisted CCTA software that assesses plaques for signs of heart disease

Caristo Diagnostics, an Oxford-based medtech company founded by cardiologists, has gained FDA clearance for its CaRi-Plaque technology.

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