(Image/Midjourney)
While many researchers are racing to prove what quantum computers can do faster than today’s machines, Amir Kalev is focused on a different question: How can quantum computing help doctors find cancer earlier, treat it more precisely and reduce human suffering?
As lead quantum scientist at USC Viterbi’s Information Sciences Institute in the USC Stevens School of Computing and Artificial Intelligence and an adjunct research professor in USC’s Department of Physics and Astronomy in the USC Dornsife College of Letters, Arts and Science Kalev believes quantum computing could transform medical imaging, giving physicians more accurate information when diagnosing cancer and planning treatment.
“We chose to focus on healthcare because medical imaging is an area where precise predictions are essential,” Kalev said.
That conviction has led Kalev and his collaborators to develop new ways of combining quantum computing with artificial intelligence. Their latest research explores whether a hybrid quantum-classical approach can improve how AI analyzes medical images, laying the groundwork for future tools that could assist physicians in diagnosing and treating cancer.
