چکیده مقاله
The report details how a generative AI system assisted in overseeing psychological wellness for an adult aged 32 dealing with generalized anxiety disorder Our goal focused on examining the effects of individualized AI guided methods to lessen anxiety indicators across 12 weeks Daily exchanges occurred between the participant and an AI based conversational agent This delivered customized activities drawn from cognitive behavioral therapy along with mindfulness cues and oversight of developments derived from participant feedback Outcomes revealed a 45% drop in GAD 7 ratings from the initial level Better rest was also evident through linked wearable technology Adverse reactions stayed absent throughout Greater involvement emerged when contrasted with conventional counseling encounters according to the participant These observations point to generative AI's capacity for boosting reach in psychological support services especially amid constrained resources Yet key ethical aspects including safeguarding information confidentiality persist as essential In summary we stress the value of more controlled experiments to substantiate the observations and embed these mechanisms within routine clinical workflows
کلیدواژهها
نویسندگان
Mohammad Mahdi Ajalli
Department of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran
شیوه ارجاع
Ajalli, Mohammad Mahdi,1404,Applying Generative AI in Tailored Strategies for Anxiety Control,International Conference on Health, Treatment and Health Promotion
ارائهشده در
مجموعه مقالات بیست و یکمین کنفرانس بین المللی بهداشت، درمان و ارتقای سلامت30 آبان 1404