1. From your experience as a physician, what do you see as the biggest barriers to detecting cancer early, particularly for patients in rural areas of Arizona?

Honestly, it mostly comes down to distance. If the nearest screening center is a couple of hours away, a lot of people put it off, especially when it means missing work and paying for gas. And when something does come back abnormal, getting in to see a specialist can take time.
2. How do you think artificial intelligence could help physicians detect cancer earlier, such as by identifying patterns in medical imaging, pathology, or patient data that might otherwise be missed?

The most promising use I see is as a second set of eyes. It can look over mammograms, CT scans, or skin photos and flag something subtle, so nothing gets missed on a busy day. It can also go through a chart and point out that someone with a strong family history is overdue for screening, which is the kind of thing that slips through in a 15-minute visit.
3. What challenges or risks do you think come with relying on AI for cancer detection, and how should physicians balance AI recommendations with their own clinical judgment?

The big one is that AI can be confidently wrong, especially for patients who weren't well represented in the data it was trained on. It's easy to start trusting the output too much. So I treat it as one input, and I still weigh it against the patient's history, my exam, and what they want before I act on it.
4. Rural Arizona communities can face challenges such as long travel distances and shortages of specialists. How could AI and telemedicine help expand access to cancer screening, diagnosis, and treatment in these communities?

This is where the two work well together. A small local clinic can do the screening or take the image, a specialist reviews it remotely, and the patient only makes the long drive if they truly need to. AI can help sort out who needs to be seen first. That means fewer wasted trips and faster answers for the people who need them.
5. Looking ahead, what changes in healthcare technology, policy, or medical practice do you think would make the biggest difference in reducing disparities in early cancer detection between rural and urban Arizona?

I'd start with the basics: reliable broadband and fair payment for telehealth so rural clinics can offer it. After that, mobile or community-based screening and stronger primary care as the front door. Just as important, payment for follow-up care and not only the first test, because a screening does nothing if the patient can't act on the result.