File that under: places I never thought I would find myself in. We had very productive meetings with the congressional staffers. Wonderful support from @aapmhq.bsky.social staff Lauren and Emily, as well as Jasmine and Matt from Capital Associates. #radoncsky #medphys

ESTRO-#EPTN #guidelines for independent dose calculation and log file-based patient-specific #QualityAssurance in scanned #ParticleTherapy: just published in open access in phiRO, Physics and Imaging in #RadiationOncology
👉 https://bit.ly/4ydii3T
#Radiotherapy #Radonc #MedicalPhysics #MedPhys

One month to go! ⏳
📆 11 November is the deadline to submit your abstract for #ESTRO27!
Present your science on a global stage, gain recognition, and benefit from joint #GreenJournal & @TheLancetOncol sessions.
👉 Submit now: https://bit.ly/4zvNufW
#Radonc #CancerResearch #medphys #RTT

🫀 ESTRO Survey: Whole #Heart & Cardiac Substructures in RT
#RadOncs & Medical Physicists treating #thoracic cases — help us map current practice on managing #cardiac side effects.
⏱ 15–20 min | 📅 Deadline 15 Oct | 🎯 1 response/specialty/centre
Pick your survey 👇🧵
#MedPhys

Thank you to all AAPM members who cast their vote! The motion passed with 86% approval. #MedPhys

The 2nd edition of Radiation Oncology Physics is now ready for pre-order! Full of practical clinical guidance for early career medical physicists entering the field, students doing clinical observations and internship, as well as residency educators. Pre-order discount below. #MedPhys #RadOncSky

🫀 ESTRO Survey: Whole #Heart & Cardiac Substructures in RT
#RadOncs, #RTTs & #MedPhys treating #thoracic cases — help us map current practice on managing #cardiac side effects.
⏱ 15–20 min | 📅 Deadline 8 Nov | 🎯 1 response/specialty/centre
Pick your survey 👇🧵

We launched #DP4All with #Pathology to enable digitized histology slide creation at low cost & exemplify @mskcancercenter.bsky.social's mission to innovate with impact. This advances global health equity, expanding access to digital pathology in low-resource settings! #MedPhys tinyurl.com/DP4AllMSK

Assuring Transparency of AI Software after Deployment https://doi.org/10.1148/ryai.260811 #AOCMP2026 #medphys #RadPhys #radiology

A Deep Learning Model to Predict Breast Cancer Recurrence Using Longitudinal Mammograms and Clinical Data https://doi.org/10.1148/ryai.260941 #AOCMP2026 #medphys #RadPhys #radiology

DeepVEST: Deep Learning-based Vessel Segmentation and Erasure in Breast MRI for Improved Lesion Assessment https://doi.org/10.1148/ryai.250630 #AOCMP2026 #medphys #RadPhys #radiology

Impact on Cost and Expert Time of Data-Efficient Deep Learning for Medical Image Segmentation https://doi.org/10.1148/ryai.250200 @muellerrom.bsky.social #AOCMP2026 #medphys #RadPhys #radiology

Impact of Exposure Parameters on Deep Learning Models in Chest Radiography and Implications for Deployment https://doi.org/10.1148/ryai.250731 #AOCMP2026 #medphys #RadPhys #radiology

After the 2024 FDA guidance, adoption of Predetermined Change Control Plans (PCCPs) increased among radiology AI devices, but better reporting transparency is needed. https://doi.org/10.1148/ryai.260385 #AOCMP2026 #medphys #RadPhys #radiology

Assuring Transparency of AI Software after Deployment https://doi.org/10.1148/ryai.260811 #AOCMP2026 #medphys #RadPhys #radiology

MultiModalNet: a deep learning model that combines longitudinal mammograms and clinical data https://doi.org/10.1148/ryai.260941 #AOCMP2026 #medphys #RadPhys #radiology

A deep learning model erases vessels from breast MRI https://doi.org/10.1148/ryai.250630 #AOCMP2026 #medphys #RadPhys #radiology

🫀 ESTRO Survey: Whole #Heart & Cardiac Substructures in RT
#RadOncs & Medical Physicists treating #thoracic cases — help us map current practice on managing #cardiac side effects.
⏱ 15–20 min | 📅 Deadline 15 Oct | 🎯 1 response/specialty/centre
Pick your survey 👇🧵
#MedPhys

Deep learning models trained on CXRs may exploit exposure parameters as shortcut features; exposure-regimen audits may flag high-risk conditions before clinical deployment https://doi.org/10.1148/ryai.250731 #AOCMP2026 #medphys #RadPhys #radiology

After the 2024 FDA guidance, adoption of Predetermined Change Control Plans (PCCPs) increased among radiology AI devices, but better reporting transparency is needed. https://doi.org/10.1148/ryai.260385 #AOCMP2026 #medphys #RadPhys #radiology