A medical examiner puts on a pair of augmented-reality goggles and brings up a computer simulated image of a body that appears to hover steps away. Nearby on a metal autopsy table lies the body of a person brought into the lab after a fatal shooting. Instead of cutting into the victim, the examiner slices through the 3-D image, mapping the bullet’s trajectory and determining the cause of death without making a single incision.
This is one vision of the virtual future of autopsies, based on interviews with forensic and digital health-care experts: Using digital reconstructions and machine-learning algorithms to diagnose the cause of death, identify a victim, and even triage battlefield or motor-vehicle injuries in live patients by analyzing images of victims who died in similar incidents. It would mark a step change for the field of forensic science, where the standard methods of autopsy have remained nearly unchanged for a century.
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