Archaeologists used advanced CT scans and 3D digital reconstruction to identify a Pompeii victim from 79 CE as likely a Roman doctor. The analysis of a plaster cast revealed a case with medical instruments, challenging previous assumptions about the victims.
Mayo Clinic developed AI model REDMOD that detects pancreatic cancer up to 3 years before clinical diagnosis by analyzing routine CT scans, achieving 88% specificity. The system identified cancer an average of 475 days early and was nearly 3 times more accurate than radiologists for cases detected over 2 years before diagnosis.
Alibaba's research arm Damo Academy has developed an AI model called Coca that detects early-stage colorectal cancer from CT scans with 86.6% sensitivity and 99.8% specificity. In tests on over 27,000 people, the model identified five previously missed cases and outperformed 10 radiologists by 20.4%, offering a non-invasive alternative to colonoscopy.
Scientists using advanced CT and 3D scanning technology have examined ancient Egyptian mummified remains dating from 401 to 259 BCE, revealing unprecedented internal details without unwrapping. The scans uncovered a foot with a missing big toe, bones showing signs of osteoporosis, and remains from multiple individuals of different ages. The research was conducted at a medical research centre linked with Semmelweis University.
