Consortium PSYCHIATRICUMConsortium PSYCHIATRICUMConsortium PSYCHIATRICUM2712-76722713-2919Eco-Vector1362610.17816/CP13626OPINIONМНЕНИЕReview ArticleThe future of psychiatry with artificial intelligence: can the man-machine duo redefine the tenets?Будущее психиатрии с искусственным интеллектом: может ли союз человека и машины перевернуть парадигму?https://orcid.org/0000-0002-1721-4836SahooJyoti PrakashСахуДжьоти Пракаш
India

MD, Department of Pharmacology, Kalinga Institute of Medical Sciences

MD, кафедра фармакологии, Институт медицинских наук Калинги

drjp1111@gmail.comNarayanBirendra NaikНараянБирендра
India

MD, Department of Psychiatry, Veer Surendra Sai Institute Of Medical Science And Research

MD, кафедра психиатрии, Институт медицинских наук и исследований Вира Сурендры Саи

drbirendranarayannaik@gmail.comSantiN SimpleСантиЭн Симпл
India

MD, Department of Pharmacology, Veer Surendra Sai Institute Of Medical Science And Research

MD, кафедра фармакологии, Институт медицинских наук и исследований Вира Сурендры Саи

dr.nsimple@gmail.comKalinga Institute of Medical SciencesИнститут медицинских наук КалингиVeer Surendra Sai Institute Of Medical Science And ResearchИнститут медицинских наук и исследований Вира Сурендры Саи26092023290920234372761109202315092023Copyright ©; 2023, Sahoo J., Narayan B.N., Santi N.Copyright ©; 2023, Саху Д., Нараян Б., Санти Э.2023Sahoo J., Narayan B.N., Santi N.Саху Д., Нараян Б., Санти Э.https://creativecommons.org/licenses/by-nc-nd/4.0https://consortium-psy.com/jour/article/view/13626

As one of the largest contributors of morbidity and mortality, psychiatric disorders are anticipated to triple in prevalence over the coming decade or so. Major obstacles to psychiatric care include stigma, funding constraints, and a dearth of resources and psychiatrists. The main thrust of our present-day discussion has been towards the direction of how machine learning and artificial intelligence could influence the way that patients experience care. To better grasp the issues regarding trust, privacy, and autonomy, their societal and ethical ramifications need to be probed. There is always the possibility that the artificial mind could malfunction or exhibit behavioral abnormalities. An in-depth philosophical understanding of these possibilities in both human and artificial intelligence could offer correlational insights into the robotic management of mental disorders in the future. This article looks into the role of artificial intelligence, the different challenges associated with it, as well as the perspectives in the management of such mental illnesses as depression, anxiety, and schizophrenia.

Ожидается, что в течение ближайшего десятилетия распространенность психических расстройств, которые носят наиболее существенный вклад в уровень заболеваемости и смертности, возрастет в три раза. Основными препятствиями в психиатрической помощи являются стигматизация, недостаточное финансирование, нехватка ресурсов и психиатров. Сегодняшние дискуссии сосредоточены на том, каким образом машинное обучение и искусственный интеллект могут повлиять на качество оказания помощи психиатрическим пациентам. Чтобы выявить актуальные проблемы, касающиеся доверия, конфиденциальности и автономии, необходимо изучить их социальные и этические аспекты. Более того, в работе искусственного интеллекта могут наблюдаться сбои и отклонения в «поведении». Глубокое философское понимание этих характеристик как человеческого, так и искусственного интеллекта может установить новые корреляции, проливающие свет на перспективы роботизированного лечения психических расстройств. В настоящей статье представлено описание роли искусственного интеллекта, различных сложностей и перспектив в лечении психических заболеваний, таких как депрессия, тревога, шизофрения.

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