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Table 1 Collaborative intelligence for intensive care units

From: Collaborative intelligence for intensive care units

Domain

How AI can augment human clinicians

How human clinicians can augment AI

Accountability and risk mitigation

Decrease risk of human fatigue by assisting with continuous and rapid multi-channel monitoring, data harvesting, organization and analysis

Provide support for human decisions

Provide stress testing and simulated adversarial attacks on AI systems

Provide safety netting for potentially biased algorithms

Provide medicolegal support for AI tools

Sense-making

Demonstrate clinical, laboratory and radiological features contributing to an AI-driven result

Provide support for human decisions by computing probabilities for the range of possible diagnoses, outcomes and actions

Provide explanations for AI-driven results to colleagues, patients and family members

Performance augmentation

Provide clinical tools for diagnosis, risk prediction, triage, treatment and other forms of decision-making

Compress data into interpretable summaries

Demonstrate data relationships with visualization

Provide automated evidence-based medicine search and summaries

Provide automated guidance during imaging procedures

Feed AI with multisource data

Feed AI with relational information

Provide examples of human decision-making for training of AI models

Provide support for the spread of digital resources—including education of healthcare workers in digital literacy—for AI implementation and scalability

  1. AI, Artificial intelligence