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Aly Abayazeed, MD, MS, CIIP Profile
Aly Abayazeed, MD, MS, CIIP

@AlyRad_ai

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At QRadAi, our team specializes in integrating AI into healthcare, focusing on radiology and wider medical applications to enhance efficiency and compliance

Northborough, MA
Joined December 2019
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@AlyRad_ai
Aly Abayazeed, MD, MS, CIIP
6 months
Excited to be a startup mentor at the @Impact Genius AI for Good Institute 2025 held at Stanford University this June! This program takes aspiring entrepreneurs from idea to investor-ready startup in just three weeks through hands-on AI prototyping, Stanford campus immersion, and
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@AlyRad_ai
Aly Abayazeed, MD, MS, CIIP
6 months
🗝️ Key Highlights from the discussion: 🔍 Burnout among radiologists and other specialties remains a critical issue, with AI’s impact on alleviating or exacerbating it still unclear. 📊 Objective and continuous measurement of burnout through wearables and frequent surveys is
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@AlyRad_ai
Aly Abayazeed, MD, MS, CIIP
6 months
The discussion was both collaborative and insightful. It became evident that we all view #AI as a potential #savior for our profession, and that we share a deep concern about #Burnout 🔥. However, it's clear that burnout isn't being prioritized in AI development and evaluation,
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@AlyRad_ai
Aly Abayazeed, MD, MS, CIIP
7 months
Beautiful day, first bike ride of the season #Spring #Massachusetts #aprilia #ducati 🏍️
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@AlyRad_ai
Aly Abayazeed, MD, MS, CIIP
7 months
Radiology is now the #2 💵 highest-paid specialty in the U.S., according to Medscape 2025 Physician Compensation Report—surpassing cardiology and plastic surgery. ‼️This headline is likely to grab attention, especially for those of us in the field. But it’s important to ask:
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@EditorNeuro
Editor - Neuro-Oncology Advances
1 year
Lay summaries are now available for select articles in our latest issue! These make the research and information in #NeuroOncology Advances more #accessible and #inclusive to a broader readership. Please help us spread the word! #CancerResearch #CancerAwareness
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@Radiology_AI
Radiology: Artificial Intelligence
1 year
Stepwise transfer learning enabled expert-level, automated pediatric brain tumor segmentation & volume measurement https://t.co/ovaPJx5HXk @BrighamWomens @Ali_Nabavizadeh @PennRadiology #BrainTumors #cancer #MachineLearning
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@StanfordAIMI
Stanford AIMI
1 year
Big news! Our co-director @drnigam & teams published a groundbreaking paper on Evaluating Fair, Useful, and Reliable AI Models (FURMs) in Health Care. These open-source tools redefine AI evaluation in healthcare. Amazing work! More here: https://t.co/cXdBsuAPvj #AIinHealthcare
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@curtlanglotz
Curt Langlotz
1 year
Go ⁦@TeamUSA & go⁩ ⁦@Stanford⁩!! “For the third consecutive edition of the Games, Stanford boasts more Team USA selections (37) than any other school, easily outpacing UCLA (17), USC (16), Texas (14) and Penn State (14) to round out the top 5.”
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gostanford.com
School-record 60 Stanford-affiliated athletes have qualified to compete at the Olympic Games Paris 2024. The total of 60 Olympians with Cardinal ties eclipses the previous high of 57 participants...
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@curtlanglotz
Curt Langlotz
1 year
"GPT-4V performs similar to physicians on multi-choice accuracy and performs well when physicians answer incorrectly, but frequently gives flawed rationales, most prominent in image comprehension, emphasizing the need for evaluation of its rationales." https://t.co/yUsFzC5jip
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@curtlanglotz
Curt Langlotz
1 year
A study validating that detection algorithms don't always save time: "With lengthened read times for falsely flagged examinations, system inefficiencies may outweigh the potential benefits of using the tool in a high volume, low prevalence environment."
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pubs.rsna.org
The performance of an artificial intelligence clinical decision support solution for intracranial hemorrhage detection was low in a low prevalence environment; falsely flagged studies led to increa...
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