{"id":3212,"date":"2024-12-11T09:00:00","date_gmt":"2024-12-11T17:00:00","guid":{"rendered":""},"modified":"2026-04-09T08:59:27","modified_gmt":"2026-04-09T15:59:27","slug":"rsna-2024-ais-impact-inside-and-outside-the-reading-room","status":"publish","type":"ms-industry","link":"https:\/\/www.microsoft.com\/en-us\/microsoft-cloud\/blog\/healthcare\/2024\/12\/11\/rsna-2024-ais-impact-inside-and-outside-the-reading-room\/","title":{"rendered":"RSNA 2024: AI’s impact inside and outside the reading room"},"content":{"rendered":"\n

What started as a prompt box, changed the world overnight. Instead of searching for information in a browser window, Copilot from Microsoft is empowering people to generate intelligent insights, automate tasks, and spark creativity across the applications and devices they rely on.<\/p>\n\n\n\n

Generative and other types of AI are transforming radiology from the reading room to the research lab. Sometimes, generative AI looks like a more efficient meeting for the tumor board. Other times, it\u2019s a draft impression that reminds you to include details you might have missed. In all instances, it looks like empowered radiology teams, working more efficiently to improve patient outcomes.<\/p>\n\n\n\n

At RSNA 2024 we showcased the expanding opportunities for radiology teams to access responsible AI, delivered at scale.1<\/sup><\/p>\n\n\n\n

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Achieve more with AI you can trust<\/a><\/div>\n<\/div>\n\n\n\n

Giving time back to radiologists<\/h2>\n\n\n\n

Most radiologists still spend a significant amount of their time on tasks outside of image interpretation and report creation. From supporting a tumor board conference to drafting a grant proposal, it\u2019s important work, but it\u2019s time consuming. <\/p>\n\n\n\n

It\u2019s also the kind of work that Microsoft 365 Copilot<\/a> can help accelerate. <\/p>\n\n\n\n

Microsoft 365 Copilot, with over 400 million users, is boosting productivity worldwide. By securely connecting and graphing the data across your applications and web activity, Copilot has the context it needs to provide more personalized and intelligent responses. <\/p>\n\n\n\n

When entire radiology teams automate, search, summarize, and create with Copilot to address their everyday tasks, the minutes they save quickly add up.<\/p>\n\n\n\n

Applying AI\u2014including generative AI\u2014inside the reading room<\/h2>\n\n\n\n

In 2023, we shared how Precision Imaging Network<\/a>, part of Microsoft Cloud for Healthcare<\/a>, makes it easier for radiology teams to integrate third-party AI into their reporting workflows. <\/p>\n\n\n\n

Precision Imaging Network offers a single point of access to a collection of third-party AI models that have gone through security, compliance, and technical reviews. There are triage AI models that work to identify imaging with critical findings and help ensure radiologists read the most urgent cases first. Detection and measurement AI models assist radiologists with image interpretation by highlighting abnormalities. <\/p>\n\n\n\n

In his white paper, “A platform for healthcare enterprise AI and digital transformation,” neuroradiologist and medical AI expert Dr. Reza Forghani explains how Precision Imaging Network facilitates scalable, efficient AI model deployment in weeks, not months.<\/p>\n\n\n\n

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\u201cPrecision Imaging Network is designed to help healthcare organizations, regardless of size, participate and lead in an AI revolution. Its framework facilitates effective and seamless integration of imaging AI models that can help them deliver better patient care.\u201d<\/p>\n\n\n\n

Dr.<\/strong> Reza Forghani, MD, PhD, Neuroradiologist and medical AI expert<\/strong><\/p>\n<\/blockquote>\n\n\n\n

Beyond seamlessly integrating third-party AI into their workflow, radiologists can harness generative AI to help automate report creation. <\/p>\n\n\n\n

PowerScribe Smart Impression<\/a>, which won the AuntMinnie award for Best New Radiology Software 2024<\/a>, uses generative AI to automatically create a draft impression in the radiologist\u2019s own style of dictation, using order metadata, approved AI inputs, and dictated findings. It is trained on millions of reports and delivers a range of benefits\u2014from greater efficiency to increased job satisfaction. <\/p>\n\n\n\n

Dr. Janusz Kikut is Professor of Radiology and Division Chief at the Nuclear Medicine Department of Radiology at University of Vermont. He\u2019s found that three-quarters of the radiologists in his department using PowerScribe Smart Impression believe it has made them more efficient. \u201cIt also helps them not to forget things [\u2026] and contributes to their satisfaction at work,\u201d says Dr. Kikut.<\/p>\n\n\n\n

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