Ibex Medical has released results from a survey that indicated that 60% of respondents are comfortable with AI supporting their doctor in making their cancer diagnosis.
The report, "Patient Insight Report on Cancer Diagnostics," also explored patient perceptions of receiving medical diagnoses, particularly for cancer. It was based on a survey conducted in August, included 2,000 respondents, and found the following:
- 62% of survey participants stated they are "concerned that they or a loved one will be diagnosed with cancer in the near future."
- 51% reported being concerned that they or a loved one will receive a misdiagnosis of not having cancer when they actually do, with Gen Z (55%), Millennials (60%), and Gen X (50%) respondents more likely than Baby Boomers (39%) to express this concern.
- 80% stated they would be willing to pay for a second opinion from a specialist in the specific type of cancer being evaluated.
- 59% of respondents noted that they have received incorrect medical test results.
- 50% reported feeling anxious about prolonged wait times for receiving cancer test results, and 80% stated that "waiting for medical test results is very stressful."
"The findings of our inaugural survey emphasize the urgent need for a united, steadfast commitment by all stakeholders to innovation and patient care to transform the standards of cancer diagnosis because we, as the healthcare community, owe patients accurate and timely test results every time," Ibex CEO Joseph Mossel said in a statement.














![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)




