
AI predicts future lab results from patient records
A new transformer model can simulate how a patient’s lab values will react to specific drugs before they are even prescribed.
Discover the newest research about AI innovations in 🤖 Machine Learning.

A new transformer model can simulate how a patient’s lab values will react to specific drugs before they are even prescribed.

A new deep learning index predicts cardiovascular death by tracking insulin resistance in the general public, moving metabolic screening beyond diabetic patients.

Ambient AI is moving past physician burnout to tackle the chaotic reality of patient discharge.

Giving patients direct access to AI-translated medical records is a bold play to win the EHR wars, but it shifts a massive cognitive burden from doctors to software.

A new benchmark reveals that even calibrated image-recognition models struggle to safely hand off difficult skin cancer cases to human specialists.
Silicon Valley is betting billions that AI agents can run clinical workflows without human intervention, but the messy reality of hospital operations is pushing back.

A new machine learning model proves that how we walk, rather than how much we walk, reveals the true severity of arthritic joint pain.

A new generative model beats traditional machine learning at predicting which discharged emergency patients will return to the hospital.

A new study shows that smart prompting makes cheap, small AI models triage patients just as safely as expensive ones.

Feeding raw medical data directly into clinical AI models might be degrading their performance without anyone noticing.