Adaptive medical imaging device configuration using artificial intelligence

A non-transitory computer readable storage medium comprising instructions which, when executed, cause a machine to at least:

• evaluate a machine genetic structure with respect to an operating condition of the machine to identify at least one of a discrepancy or an opportunity for improvement for the machine genetic structure to satisfy the operating condition, the machine genetic structure specifying composition, performance, and health of the machine;
• determine a mutation of the machine genetic structure from a first sequence to a second sequence to address the at least one of a discrepancy or an opportunity for improvement to satisfy the operating condition;
• and
• set the machine genetic structure from the first sequence to the mutation of the second sequence to configure the machine for operation according to the machine genetic structure.

A method comprising:

• evaluating, by executing an instruction using at least one processor, a machine genetic structure with respect to an operating condition of the machine to identify at least one of a discrepancy or an opportunity for improvement for the machine genetic structure to satisfy the operating condition, the machine genetic structure specifying composition, performance, and health of the machine;
• determining, by executing an instruction using the at least one processor, a mutation of the machine genetic structure from a first sequence to a second sequence to address the at least one of a discrepancy or an opportunity for improvement to satisfy the operating condition;
• and
• setting, by executing an instruction using the at least one processor, the machine genetic structure from the first sequence to the mutation of the second sequence to configure the machine for operation according to the machine genetic structure.