Transforming Minds AI and Machine Learning Applications in Cognitive Neuroscience

Advances in psychology, mental health, and behavioral studies (APMHBS) book series, Journal Year: 2025, Volume and Issue: unknown, P. 107 - 128

Published: Jan. 3, 2025

Through their unique capabilities in analysing mental and behavioral data AI ML transform the field of cognitive neuroscience. MRI fMRI rely on to reliably identify memory troubles also boost early recognition neurodegenerative disorders like Alzheimer's Parkinson's. rehabilitation programs that utilize improve therapy results by responding instantly individual needs. By using power, them interfaces allow neural patterns link with outside tools offer fresh treatment methods for those who are mentally challenged. Psychological evaluations treatments upgrade reliability as a result AI's method analyze emotional states behaviours. Machine learning changing neuroscience improving diagnostics many disorders.

Language: Английский

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Integration of AI With ML for Neuropsychological Applications

Advances in psychology, mental health, and behavioral studies (APMHBS) book series, Journal Year: 2025, Volume and Issue: unknown, P. 93 - 106

Published: Jan. 3, 2025

This chapter examines how Artificial Intelligence (AI) and Machine Learning (ML) are being used in neuropsychology, focusing on they can significantly improve the study treatment of cognitive issues like Mild Cognitive Impairment (MCI) Alzheimer's Disease (AD). Traditional methods neuropsychology often depend subjective evaluations, which reduce accuracy diagnoses delay necessary treatments. AI ML use large amounts data to find early signs problems provide better predictive analysis, helping with detection more accurate treatment. From a research standpoint, offers new tools examine complex from brain scans, genetic information, behaviour tests. learning identify patterns that suggest diseases might progress, could lead important discoveries finding markers for creating treatments tailored individual patients. The indicates should focus making systems fair easy understand using them many medical situations.

Language: Английский

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Machine Learning for Combating Mental Health Stigma

Advances in psychology, mental health, and behavioral studies (APMHBS) book series, Journal Year: 2025, Volume and Issue: unknown, P. 333 - 366

Published: Jan. 3, 2025

Stigma around mental health hinders care through discrimination, misconceptions, and shame. Machine learning (ML) offers data-driven solutions to address this, using sentiment analysis NLP analyze public attitudes, identify stigmatizing language, guide awareness campaigns. In healthcare, ML reduces biases, enhances patient interactions, fosters inclusivity. Personalized education via AI combats misinformation, while advocacy campaigns leverage assess impact. By addressing ethical concerns like bias privacy, can transform stigma reduction.

Language: Английский

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PENGARUH STRATEGI INFLUENCER MARKETING TERHADAP KEPUTUSAN PEMBELIAN PRODUK SKINCARE SKINTIFIC DI PLATFORM E-COMMERCE

Deleted Journal, Journal Year: 2025, Volume and Issue: 3(1), P. 126 - 131

Published: Jan. 11, 2025

This study aims to analyze the impact of Influencer marketing strategies on purchasing decisions for skintific skincare brand e-commerce platforms. has become one most effective tactics in digital era, especially beauty industry. research employs a quantitative approach by distributing questionnaires 100 respondents who are active consumers The variables analyzed include influencer credibility, content appeal, and relevance promoted product. results show that credibility significantly influences decisions, followed which effectively enhances consumer interest trying between product also plays an essential role building trust. These findings illustrate success is not solely determined influencer’s popularity but their alignment with target audience quality delivered. expected serve as reference business practitioners optimize through influencers increase sales.

Language: Английский

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AI-driven virtual travel influencers and ethical consumerism: analysing engagement with Sena Zaro’s Instagram content

Young Consumers Insight and Ideas for Responsible Marketers, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 13, 2025

Purpose This study examines how AI-driven virtual travel influencers engage young consumers, with a focus on ethical consumerism. It analyses the content strategy Instagram of Sena Zaro, pioneering AI influencer in and hospitality sector, created by Cenizaro Hotels. The purpose is to identify adherence communication standards evaluate types that garner highest engagement, analysing emotions expressed through shared posts, exploring destinations promoted. Design/methodology/approach Through web scraping sentiment analysis, all textual posts from her profile corresponding comments were examined. stimulus-organism-response theory was applied explore messaging (stimuli) impacted emotional engagement (organism), driving follower behaviour (response). also categorized based tourism principles, as published World Tourism Organization’s Global Code Ethics for Tourism. Findings Results highlight authenticity transparency are crucial successful (VI) marketing. Posts featuring Zaro herself, especially carousel format, had engagement. Although cultural heritage local benefit most common themes labour rights underrepresented, they did not notably impact levels. Practical implications related dynamics, location presented enhance customer along recommendations future digital marketing strategies effectively use VI Originality/value research first examine industry, specifically such an engages consumers. emphasizes importance

Language: Английский

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