Trusted radiologists + AI insights. Fast answers, human care—right when you need it.
San Francisco, California, USA
Joined August 2019
- Tweets161
- Following795
- Followers599
- Likes369
Left (1/2): The standard signed radiology report. 896 characters of text, zero slices.
Right (2/2): The @BraidHealth Visual Report. Every finding is translated into plain English and pinned directly to the exact MRI slice:
braid.health/shoulder
26
Your radiologist reviewed 500 images. You got two paragraphs with no images.
We’re live on Product Hunt with the Interactive Radiology Report: annotated findings, measurements, and plain-English explanations from your actual scan.
producthunt.com/products/the…
2
2
117
Researchers estimate 75,000 lives could be saved every year if everyone with a concerning scan got a second radiology opinion.
Early detection. Your right. Your choice.
braid.health/www/page/the-li…
#SecondOpinion #PatientRights
47
Standard CNNs use fixed filters. Our Bandelet-DenseNet uses learnable geometry that adapts to how anatomy actually curves. 0.916 AUC, no pretraining.
braid.health/www/page/bandel… #RadiologyAI #DeepLearning
77
Our fracture AI: 1.9% miss rate. We published every false negative and false positive. Publishing your failures is what makes clinical AI trustworthy.
braid.health/www/page/fractu… #RadiologyAI #FractureDetection
39
Most radiology AI trains on 1-2 institutions. Ours: 360K+ studies, thousands of sites. External validation: 0.933 AUC. Full methodology:
braid.health/www/page/xray-t… #RadiologyAI
1
70
Our AI models don't all fail the same way. That's by design. Ensemble majority voting across architectures: 4.14% auto-clear, zero false negatives.
braid.health/www/page/ensemb… #RadiologyAI
25
Our AI models achieved 98.1% sensitivity on fracture detection, trained on 359K+ studies. Full methodology + every false negative published.
braid.health/www/page/fractu… #RadiologyAI #FractureDetection
35
Our AI models cleared 4.14% of chest X-rays with zero false negatives — ~130 hrs/year returned per radiologist. Full methodology:
braid.health/www/page/chest-… #RadiologyAI
33
Which part of your scan makes you most curious? Ask AI connects multiple advanced models to explain scans in plain language. Explore: braid.health/ask-ai
29
Which part of your scan makes you most curious? Ask AI connects multiple advanced models to explain scans in plain language. Explore: braid.health/ask-ai
40
Hundreds of AI perspectives, one clear outcome: plain-language, cross-checked explanations of your scan — private and exploratory, not a diagnosis. Explore your own scan: braid.health/ask-ai
35