Hacker News with Generative AI: Medical Imaging

When Doctors with A.I. Are Outperformed by A.I. Alone (erictopol.substack.com)
A recent M.I.T.-Harvard study, of which one of us, Dr. Rajpurkar, is an author, examined how radiologists diagnose potential diseases from chest X-rays. The study found that when radiologists were shown A.I. predictions about the likelihood of disease, they often undervalued the A.I. input compared to their own judgment. The doctors stuck to their initial impressions even when the A.I. was correct, which led them to make less accurate diagnoses.
Noninvasive imaging method can penetrate deeper into living tissue (news.mit.edu)
Using high-powered lasers, this new method could help biologists study the body’s immune responses and develop new medicines.
High-resolution postmortem human brain MRI at 7 tesla (pulkit-khandelwal.github.io)
Ex vivo MRI of the brain provides remarkable advantages over in vivo MRI for visualizing and characterizing detailed neuroanatomy, and helps to link microscale histology studies with morphometric measurements.
AI Medical Imagery Model Offers Fast, Cost-Efficient Expert Analysis (nvidia.com)
Researchers at UCLA have developed a new AI model that can expertly analyze 3D medical images of diseases in a fraction of the time it would otherwise take a human clinical specialist.
DICOM Medical Image Standard Chooses JPEG XL as a Payload Codec [pdf] (dicomstandard.org)
Understanding the Maths of Computed Tomography (CT) Scans (ephorie.de)
Noseman is having a headache and as an old-school hypochondriac he goes to see his doctor. His doctor is quite worried and makes an appointment with a radiologist for Noseman to get a CT scan.
AI significantly reduces lumbar spine MRI interpretation times (radiologybusiness.com)
Study reveals why AI models that analyze medical images can be biased (medicalxpress.com)
UltraNet: Revisiting Ultrasound (b.h4x.zip)
Whole-body magnetic resonance imaging at 0.05 Tesla (science.org)
Microscopic heart vessels imaged in super-resolution for first time (imperial.ac.uk)