Cancer patients in Africa face long waits for radiotherapy. A recent review looked at whether artificial intelligence could help. These smart tools can draw outlines around tumors and help plan treatment. The goal was to see if this technology could work in real hospitals with limited resources.
The review found that AI did make planning faster and reduced the workload for staff. Teams could move more efficiently through their daily tasks. However, the tools did not yet show a clear improvement in patient outcomes or overall clinical impact. The technology is still learning how to fit into these specific healthcare settings.
Several hurdles remain. Many hospitals lack strong digital infrastructure and reliable internet. There are also shortages of trained staff and gaps in how data is managed. Models trained on data from other regions often do not work well for African patients. Until these system issues are fixed, AI should be used carefully alongside human experts.