Revolutionizing Mental Wellness With a Neurosymbolic Artificial Intelligence (Preprint)

Published: Feb. 20, 2024

The integration of artificial intelligence (AI) in mental health care has traditionally been hampered by the reliance on static models that necessitate extensive training and fine-tuning, thereby limiting their adaptability personalization capabilities [1][2]. This study aims to introduce an innovative framework utilizes linguistic large language (LLMs), specifically GPT-3.5, create a dynamic, user-specific conversational corpus aligns with individual psychological profiles patients. Our approach, termed 'spontaneous symbiosis combustion,' eliminates need for conventional or fine-tuning. It establishes symbiotic relationship between LLM user's unique data, facilitating real-time adaptation evolving state. Implementation this methodology shown significant advancements personalizing patient interactions, incorporating temporal abstractions, enhancing AI's operational effectively anticipate address adverse behavioral patterns. Ethical considerations were meticulously evaluated ensure balanced deployment maximizes benefits while minimizing dependency risks [3][4]. findings from suggest cutting-edge AI-driven tool offers cost-effective, adaptable, empathetic alternative traditional methodologies. By democratizing AI healthcare, our emerges as promising universal solution support, poised transform clinical practices mark milestone convergence healthcare.

Language: Английский

Artificial Intelligence Applications in Healthcare

AlQalam Journal of Medical and Applied Sciences, Journal Year: 2024, Volume and Issue: unknown, P. 597 - 605

Published: July 27, 2024

Nowadays, the employment of artificial intelligence (AI) technologies in healthcare has provided useful outcomes related to decision-making, early diagnosis diseases, and optimization patient care services. AI apply a variety data sources. The present paper discussed latest developments on Artificial Intelligence applications, technologies, benefits, challenges, ethical considerations. It also underlined role improvement diagnosis, prediction, personalized treatment. On basis research, it is claimed that regulation going decide fate AI-ethics for at least coming decade. agoras AI-healthcare should instead stamp remain as imprint possible permissible moral philosophy shaped over years.

Language: Английский

Exploring User Characteristics, Motives and Expectations and Therapeutic Alliance in the Mental Health Conversational Ai Clare®: a Baseline Study

Published: Jan. 1, 2024

Language: Английский