What makes a face identifiable? Researchers from @vanderbilt.edu + Tennessee Valley Health Care System show hiding just 1 facial feature often isn’t enough. AI can still recognize faces. Masking multiple features better protects patient privacy. Read the #SPIE_JMI article: https://bit.ly/4rUBLUn

When imaging and therapy come together, how do trials keep up? 🩺 Oncologic theranostics trials bring unique logistical challenges. Luckily, a team from the University of Chicago published guidance to help clinical teams run safer, smoother cancer studies in #SPIE_JMI. https://bit.ly/4kQDDLk

Can AI help surgeons plan cochlear implant surgery before the first cut? 🦻🤖 New imaging tech predicts how much bone to remove using pre‑op CT scans. No manual labels needed! Better planning could mean safer, more efficient surgeries. Read the full #SPIE_JMI news story: https://bit.ly/4caEHHS.

“We already live instrumented lives… we can re-think how we do medical imaging beyond diagnoses.” Bennett Landman, director of VALIANT + #SPIE_JMI EIC, presents the transformative idea of “clinical phenotypes” to better understand the healthcare journey. #SPIEMedicalImaging @[email protected]

AI is helping predict prostate cancer outcomes for patients on active surveillance. 🥼 By analyzing changes over time, researchers can predict whether cancer remains stable or becomes aggressive, enabling smarter, personalized care. Review the study in #SPIE_JMI: https://bit.ly/4oxl3bA

Combining brain scans from thousands of sites is tough, so researchers are using AI to “harmonize” 10,000 brain connectomes so they speak the same language. 🧠🎶 Harmonizing the data may enable better insights into mental health. Read the full #SPIE_JMI article here: https://bit.ly/4iz252V

🌟 A new @fda.gov study proposes a paired statistical test comparing AI-to-expert vs. expert-to-expert segmentation overlap, validating AI without a reference standard. Review the research in #SPIE_JMI: https://bit.ly/47Zs8wl

Cutting down false positives & boosting diagnostic precision! Researchers @upenn.edu @ucsantabarbara.bsky.social found that convolutional #NeuralNetworks can interpret breast scans with fewer false positives, thereby enhancing diagnostic accuracy. 🥼 Read the #SPIE_JMI paper: https://bit.ly/3JHx9jM

Smarter CT imaging! 🩻 Researchers from @upenn.edu & @jhu.edu found a way to separate body parts and metal implants into two layers. Using AI for anatomy and math for metal, they clean up blurry images, making scans clearer. Read the full #SPIE_JMI article: https://bit.ly/3XcpQns

The Journal of Medical Imaging invites submissions for the special section, "Going Beyond Observer Performance: Human-AI Interface." This section explores approaches to human-AI collaboration in medical imaging. 📅 Deadline: 31 March 2026 🔗 Submit your work to #SPIE_JMI here: https://bit.ly/4hAcsTG