Table 2.

Different types of AI models integration with nanobots for cancer therapy

Models	Applications	Types of cancer	References
Reinforcement Learning	Controlling the drug release mechanisms, cancer diagnosis	Brain tumors, prostate cancer, skin lesions, breast cancer	[57]
Genetic algorithms	Chemo drug formulation, nanobot designing	Pancreatic cancer, colon cancer, cervical cancer, lung cancer	[55]
Evolutionary algorithms	Design of nanobots, drug delivery efficiency, nanobot bearded drug biocompatibility	Lung cancer, breast cancer	[54]
Swarm intelligence algorithms	Coordinate the function of several Nanobots within the body. Lessen the side effects of healthy cells while killing malignant cells	Prostate cancer, breast cancer,	[58]
Deep learning algorithms	Deep Learning algorithms, especially recurrent neural networks (RNNs) and convolutional neural networks (CNNs), are used to analyze imaging data like MRI and CT scans and navigation in nanobots	Breast cancer, lung cancer, oral cancer, breast cancer	[59]