The 10th edition of the Philips Future Health Index (FHI) shows a growing divide between patients and healthcare professionals on AI in medicine.
The FHI gathered survey data from over 16,000 patients and 1,900 healthcare professionals across 16 countries. The report reveals that while healthcare professionals are optimistic about AI's clinical utility, patients are still hesitant.
The company reported the following findings in its FHI:
- 96% of clinicians are confident in AI’s ability to support diagnosis, and 92% say it can support treatment.
- 77% of patients feel comfortable with AI in treatment, and 83% felt comfortable in its diagnostic role.
- 76% of professionals say trust in AI hinges on transparency, accountability, and evidence. And 59% of patients want reassurance that systems are properly tested, while 34% want to know who developed the technology.
- The average global wait to see a specialist is 70 days. And about one in four patients report ending up in the hospital due to delays.
- 77% of healthcare professionals lose time due to inaccessible patient data.
The report warns that without public trust, AI adoption may stall. Philips called for urgent collaboration to address this trust gap in AI's clinical use.
The full FHI can be found here.














![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&fit=crop&h=112&q=70&w=112)




