@article{ref1,
title="Exploring the promises and pitfalls of artificial intelligence interventions in predicting adolescent self-harm and suicide attempts",
journal="General hospital psychiatry",
year="2024",
author="Rukadikar, Aaradhana and Khandelwal, Komal",
volume="ePub",
number="ePub",
pages="ePub-ePub",
abstract="Promises of AI interventions   •  Early Detection and Interventions: Artificial intelligence can recognise minute warning signs in big datasets, allowing for early interventions to avert adolescent self-harm and suicide attempts [10].   •  Customised Tactics: AI can provide individualized treatment by tailoring forecasts and actions based on specific risk characteristics [3].   •  Data-Driven Insights: AI can conclude various datasets, which helps clarify the intricate factors affecting teenage mental health problems [2].   Pitfalls and ethical considerations   •  Data Security and Privacy: Strong data privacy policies and stringent security measures are necessary to cease illegal access to and use of sensitive data [5].   •  Algorithmic Bias: Social prejudices included in the data used to train AI systems may have an impact, possibly exacerbating or maintaining existing disparities [1].   •  Informed Consent and Autonomy: To protect moral standards and maintain public confidence, informed consent must be obtained before using AI models to forecast adolescent<p /> <p>Language: en</p>",
language="en",
issn="0163-8343",
doi="10.1016/j.genhosppsych.2024.02.016",
url="http://dx.doi.org/10.1016/j.genhosppsych.2024.02.016"
}