Brandon Price

@hemo_shk @IhabFathiSulima Severe gastric distention, possibly twisted at the pyloric region. Gastric wall pneumatosis which is less concerning in the stomach than in other parts of the bowel due to anastomatic blood supply. Call the floor to place an NG tube and it might untwist itself.

What is the diagnosis? Radiological findings? #MedX #MEDHM @IhabFathiSulima

@AndrewMagrini They’re both beautiful 🤩 I have the jazz version of your sunburst precision

@OGdukeneurosurg A better one is this antibiotic circle from northwestern. We used it all the time during intern year.

Awesome Antibiotic cheat sheet

Im excited for my first #ISMRM2024 oral presentation "Neural Shape Models Meaningfully Localize Features Relevant to Osteoarthritis Disease" We're also sharing our medRxiv paper and announcing our ShapeMed-Knee Dataset that we hope others will leverage to advance the field 🧵

@doctor_mayfield Congratulations!!

A timeline: Applied M.D. 2003 🚫 Applied Ph.D. 2007 🚫 Applied M.S. 2011 🚫 Applied M.D.-Ph.D. 2015 🚫 Accepted M.D. only ✅️ Applied Ph.D. in med school 2016 🚫 M.D. earned 2019 🥳 Applied M.S. Hopkins 2020 ✅️ M.S. earned 2022 🥳 Applied Ph.D. ✅️ Ph.D. earned 2024 🥳

@AyisPyrros What?! This is heart breaking 💔

The majority of the physicians (78.5%) read the radiology report for every requested study for each patient, while 21.5% of participants didn’t read the radiology report for the studies they requested, instead, they only read it occasionally. ncbi.nlm.nih.gov/pmc/articles/P…

🚨 A shocking number of radiology reports go unread, potentially delaying treatments. But with LLMs, we can make finding these overlooked reports easier. Here’s some Python code to make it happen github.com/apyrros/auto_f… #Radiology #HealthTech #AIInHealthcare

"The #LLM Will See You Now": Performance of #ChatGPT on the Brazilian Radiology and Diagnostic Imaging and Mammography Board Examinations doi.org/10.1148/ryai.2… @haritrivedimd @judywawira @emoryradiology #GPT4 #ML #MachineLearning

@Rainmaker1973 For a moment I was thought these were interlobular septa seen in the lungs. Odd how similar they appear! radiopaedia.org/articles/inter…

The exact physiological basis of crown shyness is not certain. The phenomenon has been discussed in scientific literature since the 1920s. A prominent hypothesis is that canopy shyness has to do with mutual light sensing by adjacent plants.

Radiologists are increasingly overworked, spending significant time dictating reports, often transferring text literally. Despite solutions like DICOM SR, the IT investment remains substantial. Can LLMs help? Excited to launch: 🔗 github.com/apyrros/auto_r… #radiology

My fav night time host and show #JohnOliver @LastWeekTonight touched on organ donations and some of the issues surrounding them. Perfect timing as we just published on disparities that exist in organ transplant and transplant interventions! @angiowoman @judywawira #transplant

I will be speaking at RSNA 2023! • Harnessing Deep Learning to Identify Type 2 Diabetes from Frontal Chest Radiographs: A Prospective Study with External Validation •Presentation ID: S2-SSCA01-6 •Date & Time: November 26, 2023, 10:30 AM - 11:30 AM •Location: Room N228

The first publication of my PhD and my first 10-rated review! Thrilled to share our @NeurIPSConf'23 Oral finding large differences in frequency tuning between humans and neural networks, which strongly explain shape bias and robustness! arxiv.org/pdf/2309.13190… 🧵(1/4)

@nish_khandwala @Radiology_AI Statins for everyone! ❤️💊 #RadAIchat

@Radiology_AI Stanford developed a follow up workflow to treat findings detected by their opportunistic AI algorithm; RCT showing increase in patient access here: ahajournals.org/doi/10.1161/CI…

T5. How should we treat findings reported by opportunistic screening #AI algorithms? #RadAIchat

@Radiology_AI That said, HMOs and patients in those networks could benefit from AI radiology opportunistic screenings used at the HMO level. Perhaps performing evaluations on studies performed over the past few months and sharing the results with their providers. #RadAIchat

@Radiology_AI T3: Adoption could be challenging. Integrating results into radiology reports, incentivizing these screenings into workflow, and reimbursement are critical hurdles to overcome.

T3. What are some disadvantages of #AI in opportunistic screening, and how do we address them? #RadAIchat

@Radiology_AI @abhisuri97 @Dr_RayMak @AKrishnarajMD @BernardoBizzo @pritammukherje @RSNA Hi, my name’s Brandon. I’m a first year radiology resident and very excited about tonights topic and the potential of AI radiology screenings to help keep patients healthy! #RadAIchat

Welcome to the Nov. #RadAIchat on "#AI for Opportunistic Screening in #Radiology" moderated by @abhisuri97 and featuring @Dr_RayMak @AKrishnarajMD @BernardoBizzo @pritammukherje #radiomics #AI #ML #DL #radres @RSNA Please introduce yourself and always remember to add #RadAIchat

Curious about understanding uncertainty and trusting AI predictions? Don't miss the upcoming webinar with @Slowvak, Dr. Richard Bruce, @ShahriarFaghani and me discussing the topic. Link to the webinar: ecs.page.link/ouEMw #AI #UncertaintyQunatification #deeplearning

Compute is all you need. For a given amount of compute, ViT and ConvNets perform the same. Quote from this DeepMind article: "Although the success of ViTs in computer vision is extremely impressive, in our view there is no strong evidence to suggest that pre-trained ViTs outperform pre-trained ConvNets when evaluated fairly." arxiv.org/abs/2310.16764

@laurjuliet It’s super hard!! Hang in there!

Just want people to know residency is hard and there are some BAD DAYS Cute scrubs help though