A new algorithm can spot hyperacute stroke tissue changes on cheap, standard CT scans, but it struggles to map the exact boundaries of smaller lesions.
Clinical AI models are increasingly being outperformed by, or failing to improve upon, traditional statistical methods and established clinical formulas in critical predictive tasks.
Hiring a commercial AI to read breast cancer biopsies does not just introduce errors; it forces clinicians to choose which specific flavor of diagnostic failure they can tolerate.
Automated translation of complex radiology scans can finally bypass the medical jargon barrier, but only if radiologists remain the ultimate gatekeepers.
A new study shows that off-the-shelf language models can reconstruct complex patient histories from messy clinical notes without manual human labeling.