Scientists have made a new AI model. This model detects prediabetes with ECG data. People call it a big step for health care in the Philippines. It does not need a blood test. This reduces both cost and effort for people.

Dr. Jose Santos shared his thoughts. "We can now screen more people faster," he said. The model uses data from heart tests to predict sugar levels. This lets doctors see prediabetes in patients earlier.

Healthcare workers appreciate this change. They see a new way to serve remote areas. Julia Garcia works in these regions. "We help more people now," she stated. People trust the ECG tests. They find it simple and quick.

The cost savings excite many. Clinics spend less on materials and time. This affects private and public health systems. Experts say less time and fewer tools mean better reach.

Some patients spoke about the change. Ana is a bank worker. They felt relief. She often travels. "I skipped blood tests before," she admitted. Now, she gets screened without stopping work.

Governments watch the AI progress closely. They see possible healthcare upgrades for all. Officials talk about national plans to use it widely. Health leaders plan to include it in normal screenings.

Researchers plan next steps. They hope to adapt the model for other diseases. "This is just the start," Dr. Santos noted. More projects may use simple data for big impacts.

Critics want proof of effectiveness. The AI needs ongoing checks to stay correct. Next phases may address these concerns. Science aims to keep improving tools.