To the editor:Psychiatric theory,policy and practice are currently grappling with the risks and opportunities presented by artificial intelligence(AI)applications in mental healthcare.Synthesising data to generate dia...To the editor:Psychiatric theory,policy and practice are currently grappling with the risks and opportunities presented by artificial intelligence(AI)applications in mental healthcare.Synthesising data to generate diagnosis is an aspect of mental healthcare where AI is anticipated to have the greatest and soonest impact.1-4 While such technologies remain some distance from clinical application,preliminary evidence suggests AI-derived classifications may predict certain treatment outcomes and clinical trajectories,and could soon become available to supplement or replace traditional manual-based diagnostic assessment.展开更多
基金funded by a University College Dublin Career Development Award(ref.SF1881).
文摘To the editor:Psychiatric theory,policy and practice are currently grappling with the risks and opportunities presented by artificial intelligence(AI)applications in mental healthcare.Synthesising data to generate diagnosis is an aspect of mental healthcare where AI is anticipated to have the greatest and soonest impact.1-4 While such technologies remain some distance from clinical application,preliminary evidence suggests AI-derived classifications may predict certain treatment outcomes and clinical trajectories,and could soon become available to supplement or replace traditional manual-based diagnostic assessment.
