The integration of artificial intelligence(AI)into medical robotics has emerged as a cornerstone of modern healthcare,driving transformative advancements in precision,adaptability and patient outcomes.Although computa...The integration of artificial intelligence(AI)into medical robotics has emerged as a cornerstone of modern healthcare,driving transformative advancements in precision,adaptability and patient outcomes.Although computational tools have long supported diagnostic processes,their role is evolving beyond passive assistance to become active collaborators in therapeutic decision-making.In this paradigm,knowledge-driven deep learning systems are redefining possibilities-enabling robots to interpret complex data,adapt to dynamic clinical environments and execute tasks with human-like contextual awareness.展开更多
文摘The integration of artificial intelligence(AI)into medical robotics has emerged as a cornerstone of modern healthcare,driving transformative advancements in precision,adaptability and patient outcomes.Although computational tools have long supported diagnostic processes,their role is evolving beyond passive assistance to become active collaborators in therapeutic decision-making.In this paradigm,knowledge-driven deep learning systems are redefining possibilities-enabling robots to interpret complex data,adapt to dynamic clinical environments and execute tasks with human-like contextual awareness.
