Shepherd believes AI can have a massive benefit for cancer screening, particularly in resource poor settings. “An AI algorithm can learn from a much larger library than a radiologist can. In some cases, a million images or more. Once trained, the AI could be replicated at really no additional cost except the hardware to run it, while replicating a trained radiologist takes about 8 years of medical school and residency. Thus, it could solve the endemic shortage of highly trained radiologists, which is very severe here in Hawaii, for example,” he told Clinical Omics.
AI For Cancer Detection: Ready for Prime Time or Caution Advised? by Helen Albert
