Table 2.

Structure of the methodology for integrating AI in healthcare systems

	Outline of the problems (P), proposed solutions (S), and expected results (R) from integrating AI in healthcare systems
	P1: prepare for Disease X	P2: measure risks from Disease X	P3: adapt for Disease X	P4: predict the loss from Disease X	P5: defence during Disease X	P6: improve AI for Disease X
P	Prolonged lockdowns	Cyber-risk quantification	Securing the vaccine supply chain	Primary and secondary loss	Increased cyber-attack surface	Training new AI algorithms
S	Digital narratives	New design of AI neural networks	Adaptive digital supply solutions	Scenarios and prevention strategies	AI algorithms for cyber defence	Train algorithms to decode cognition
R	Method for preserving mental health	AI algorithms based on compact representations	Alternative vaccine delivery systems	Mathematical model	Systems resistant to compromises	Algorithm writing AI algorithms