ARTIFICIAL INTELLIGENCE IN SUICIDE RISK PREDICTION: A STRUCTURED REVIEW OF MODEL PERFORMANCE, ETHICAL CHALLENGES, AND CLINICAL IMPLEMENTATION
International Journal of Innovative Technologies in Social Science · 2026
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L’abstract è consultabile nella fonte originale. Non viene ripubblicato qui perché non risulta verificata una licenza compatibile.
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Suicide and Self-Harm StudiesMachine Learning in HealthcareArtificial Intelligence in Healthcare and Educationsuicide risk predictionartificial intelligencemachine learningnatural language processingelectronic health recordsdigital phenotypingalgorithmic biasdata privacyclinician trustmodel explainabilityclinical implementationsuicide preventionethical governance
Come citare questo studio
Michalina Justyna Kozłowska, Maciej Kamil Majchrzak, Faustyna Magdalena Kołodziej, Alicja Kwiatkowska, Jakub Juskowiak, Mateusz Lis, Zuzanna Julia Komin, Maryan Liasota, Eliza Zofia Kabat, Krzysztof Konopka. (2026). ARTIFICIAL INTELLIGENCE IN SUICIDE RISK PREDICTION: A STRUCTURED REVIEW OF MODEL PERFORMANCE, ETHICAL CHALLENGES, AND CLINICAL IMPLEMENTATION. International Journal of Innovative Technologies in Social Science. DOI: 10.31435/ijitss.4(52).2026.6396
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