Scientists from CSIRO, Australia's national science agency, have developed a world-first method to teach artificial intelligence (AI) how to write more accurate chest X-ray reports by giving it the same information doctors use in real life.
Using more than 46,000 real-world patient cases from a leading US hospital dataset, the team trained a powerful multimodal language model to generate detailed radiology reports.
The results showed 17 per cent better diagnostic insights and stronger alignment with expert radiologist reporting.
With hospitals worldwide struggling to keep pace with demand amid chronic radiologist shortages, this research could pave the way for faster, safer, and more reliable X-ray reporting in clinical settings.
Until now, AI tools tasked with interpreting chest X-rays relied solely on the images themselves and the doctor's referral, without being equipped to read the vital clues hidden in patients' medical records.
