Thomas Day
Thomas Day is the lead researcher of a groundbreaking study from King's College London that demonstrated the efficacy of artificial intelligence in detecting fetal abnormalities, showing that AI-assisted ultrasound scans can significantly outperform traditional methods in both speed and accuracy.
Global Media Ratings
Countries Mentioned
| Country | Mentions | Sentiment | Dominance | + Persistence | x Population | = Reach | x GDP (millions) | = Power |
|---|---|---|---|---|---|---|---|---|
| Paraguay | 1 | 9.00 | 0.04% | +0% | 7,132,538 | 2,968 | $38,000 | 16$ |
| United Arab Emirates | 1 | 9.00 | 0.04% | +0% | 9,890,400 | 3,974 | $430,000 | 173$ |
| Totals | 2 | 17,022,938 | 6,942 | $468,000 | 189$ |
Interactive World Map
Each country's color is based on "Mentions" from the table above.
Recent Mentions
Paraguay:
Thomas Day is the lead author of the study demonstrating the efficiency of AI-assisted ultrasounds.
9
United Arab Emirates:
Thomas Day is the lead researcher who stated that their study showed AI-assisted ultrasounds are more accurate and reliable.
9