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.

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."
HIMSS survey report: Beware insider threats to cybersecurity involving AI
Almost one in three healthcare organizations allow their people to use AI without formal restrictions.
5 steps for evaluating radiology AI applications
Jason Poff, MD, director of innovation deployment for artificial intelligence at Radiology Partners, explains the process he uses to evaluate medical imaging AI.
Gottlieb: Let’s not slap the label ‘medical device’ on AI software that only helps clinicians make care decisions
Standing FDA guidance reflects concern over physicians deferring to AI-aided CDS recommendations when pressed for time or uncertain of their own judgments. Is that stance outdated?
AI brings cardiology, neurology teams together to boost care for stroke patients
A new post-stroke care pathway from Viz.ai and Medtronic is associated with significant benefits, including higher patient and clinician satisfaction.

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."

artificial intelligence AI in healthcare cybersecurity

HIMSS survey report: Beware insider threats to cybersecurity involving AI

Almost one in three healthcare organizations allow their people to use AI without formal restrictions.

Jason Poff, MD, director of innovation deployment for artificial intelligence (AI) at RadPartners, explains the five-step process he uses to evaluate medical imaging AI.

5 steps for evaluating radiology AI applications

Jason Poff, MD, director of innovation deployment for artificial intelligence at Radiology Partners, explains the process he uses to evaluate medical imaging AI.

Gottlieb: Let’s not slap the label ‘medical device’ on AI software that only helps clinicians make care decisions

Standing FDA guidance reflects concern over physicians deferring to AI-aided CDS recommendations when pressed for time or uncertain of their own judgments. Is that stance outdated?

AI brings cardiology, neurology teams together to boost care for stroke patients

A new post-stroke care pathway from Viz.ai and Medtronic is associated with significant benefits, including higher patient and clinician satisfaction.

More than words: AI takes NLP to the next level to identify signs of heart failure

Previous NLP algorithms for heart failure looked for certain words or phrases, but this updated model makes decisions based on clinical context.

Nina Kottler, MD, Radiology Partners, offers overview of the U.S. AI regulatory landscape as government and radiologists work on ways to ensure artificial intelligence is not bias and works properly.

Overview of the regulatory landscape of AI in radiology

Nina Kottler, MD, associate CMO for clinical AI at Radiology Partners, explains the movement toward greater regulation of artificial intelligence and the need to test for bias.

Video of Steve Rankin, chief strategy officer for Enlitic, explaining how AI can help standardize labeling of medical images.

AI can help radiology standardize image exam data labeling

To fully leverage today's radiology IT systems, standardization is a necessity. Steve Rankin, chief strategy officer for Enlitic, explains how artificial intelligence can help.

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