Australian-based company Annalise.ai is partnering with Malaysian hospital network Ramsay Sime Darby Health Care, which will integrate Annalise.ai's AI-powered tools into its facilities.
The AI-enabled Annalise Enterprise chest x-ray clinical assistance tool is planned to be deployed in radiology departments at the healthcare system's flagship hospitals, Subang Jaya Medical Centre in Selangor and Bukit Tinggi Medical Centre in Port Klang. The tool uses proprietary deep-learning algorithms to identify up to 124 findings in chest x-rays in less than 20 seconds, the company said.
![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
