Preparing for the Augmented Intelligences: A Roadmap for Physicians in the Era of Artificial Intelligence and Robotics

ABSTRACT

The integration of artificial intelligence and robotics into clinical medicine is no longer a question of whether but of how, and physicians currently caring for older adults with complex multimorbidity need practical guidance for the transformation ahead. This commentary offers a framework organized around three fundamental domains of clinical care—information collection, data analysis, and treatment delivery—and describes how the physician's role within each is shifting rather than disappearing. In information collection, the clinician moves from direct performer to supervisor, deciding which data streams and alerts warrant attention and eliciting the contextual, values‐based history no algorithm can capture. In data analysis, where AI will prove most transformative, the physician becomes a critical appraiser and ethical arbiter of machine‐generated options, a role demanding vigilance against documented hazards: training‐data bias, digital ageism, large language model confabulation, and automation bias. In treatment delivery, the physician becomes an orchestrator, matching the level of intervention to the patient's goals across a spectrum from robotic nursing support to autonomous self‐management. Throughout, the organizing principle is augmented intelligence—AI as an amplifier of expert physician judgment rather than a replacement for it—operationalized as an architectural safeguard in which AI outputs remain interrogable, sourced, and subordinate to the responsible clinician. A specialty‐endorsed certification of clinical AI tools, modeled on the American Geriatrics Society Beers Criteria, is proposed. Geriatric medicine's emphasis on multimorbidity, goals‐of‐care conversations, and interdisciplinary coordination, exemplified by the PACE model, positions geriatricians to lead this transition and to prepare, beginning today.