Rishi Seth, MD

@InvestingDoc That sounds more like that they switched to a PE group for their reads, not AI

I can tell our radiologist group just switched to AI reads recently. The impression used to be detailed, sometimes filled with spelling errors with good info. Now my reads are just terrible. My most recent favorite for thyroid ultrasound: Impression: "There are nodules" Thats it, and in the detail was a nodule that is high suspicion for cancer hiding in the details of the read. Not in the impression. Impression only reads. "There are nodules"

@amar3455 👀 🦅🦅🦅🦅🦅🦅🦅🦅🦅🦅🦅🦅🦅

Me watching this same run happen in real time lol

When a radiologist asked us earlier this week, “Will there ever be a day when we use Rad AI Reporting with Apple Vision Pro?” @johnpaulett looked at me and said “Josh, hold my coffee.” Later that day, he sent this video. Welcome to AR: Augmented Radiology.

Join us on 9/27 when we unveil our next-gen radiology reporting solution, Omni Reporting. Witness how our pioneering work in #GenAI led to a unique reporting solution with a "Speak Less, Say More" experience only Rad AI can deliver. . 💻 Register: hubs.la/Q01_Ljkc0

We gave 180 radiologists an expert-level AI for diagnosis. But instead of improving, their performance didn't budge. 😮 Why? Radiologists implicitly discount AI predictions, favoring their own judgment - a bias we call "automation neglect". 🧠 Let's dive into our findings. 🚀

Join me in exploring the future of #radiology beyond pixel-based #AI in my upcoming #webinar "Beyond Interpretation." We'll delve into non-interpretive AI's potential across the imaging value chain, with a special focus on NLP and #GenerativeAI. #ImagingAI @radai #GenAI

The title excites me as a #radiologist, and the paper demonstrates the benefits of domain-specific #LLMs, but this isn't how most radiologists would like their impressions to look. 😞 arXiv 👉 buff.ly/441Ggkc Demo 👉 buff.ly/3Nj9ggl #GenAI #GenerativeAI

Join @rishisethmd in this educational #SIIM23 session to hear from multiple perspectives on A Practical Approach to AI Selection, Implementation, & Execution Jun 16 | ecs.page.link/V27Nx Register | ecs.page.link/VPGDM Agenda | ecs.page.link/Seph8

1/ T1. First, let’s look at some of the potential #GPT4 use cases in #radiology reporting. 1️⃣ Summarization of patient records to supplement the clinical indication section 2️⃣ Summarization of priors 3️⃣ Generation of full, structured reports with minimal input 🧵 #RadAIchat

Don't miss out! Have you registered for our Rad AI webinar this Friday? You have only two days left to join us and learn about the exciting work Cone Health is doing to improve patient care. hubs.la/Q01C6Hff0 #Radiology #Radiologist #MedicalImaging #PatientCare

@DrHughHarvey @radai is all over this Our product suite focuses on making rads more productive and accurate using NLP and noninterpretive AI. We would love to show you around sometime! @woojinrad @wboonn @LifeofAI

Thanks for letting me ‘jump in’ an always insightful chat with @EliotSiegel :) It’s always great seeing old friends and meeting the next generation of innovators at #RSNA

POC MRI is a potential game changer for patients requiring #neurocritical care. It avoids the risks associated with moving patients within the #hospital, particularly those with new or acute changes in neurologic status. doi.org/10.1148/radiol…

Day 2 of @RSNA and we are announcing more new partnerships include Eastern Radiology Associates (ERA), the latest to join the ranks of utilizing Rad AI Omni. Swing by booth #4557 this week to learn why over 60 practices have chosen Rad AI. #RSNA22 #Radiology #Radiologist

Exited to work with @woojinrad @wboonn and the whole @EquiumIo team on building more amazing #workflowAI products! Welcome to the @radai team!!

An insight into the mind of a radiologist

Grateful for the opportunity to work with an excellent team dedicated to building products to improve workflow, increase quality, and decrease burnout! 🙏

Congratulations to the Medical University of South Carolina on the $100,000 Blue Sky Award grant to study whether equipping ambulances with a portable #MRI scanner could reduce the time to treatment for #stroke #patients in a cost-effective way. web.musc.edu/about/news-cen…