Psikiyatride Yapay Zeka
Özet
Psikiyatride yapay zeka kullanımı, makine öğrenimi ve doğal dil işleme teknolojileri aracılığıyla klinik teşhis, tedavi seçimi ve hastalık seyrinin tahmini süreçlerini modernize etmektedir. Özellikle MRG, EEG ve genetik verilerin analiziyle şizofreni, depresyon ve Alzheimer gibi bozuklukların erken tanısında ve sağlıklı bireylerden ayırt edilmesinde yüksek doğruluk oranlarına ulaşılmaktadır. Bu teknolojik gelişmeler, kişiye özel tedavi protokollerinin belirlenmesine ve hasta kayıtlarından yola çıkarak prognozun önceden tahmin edilmesine yardımcı olarak klinisyenlerin iş yükünü azaltmayı hedeflemektedir.
The use of artificial intelligence in psychiatry modernizes clinical diagnosis, treatment selection, and prognosis prediction through machine learning and natural language processing technologies. High accuracy rates are achieved in the early diagnosis and differentiation of disorders such as schizophrenia, depression, and Alzheimer's, particularly through the analysis of MRI, EEG, and genetic data. These technological advancements aim to reduce the workload of clinicians by assisting in the determination of personalized treatment protocols and predicting prognosis based on patient records.
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