AQLLI TIBBIYOT TIZIMLARIDA SUN'IY INTELLEKT YORDAMIDA XAVFSIZ DIAGNOSTIKA MA'LUMOTLARINI QAYTA ISHLASH VA HIMOYA QILISH

This study investigates the secure processing and protection of diagnostic data in smart healthcare systems using artificial intelligence (AI) technologies [1, 2, 5]. The research analyzes AI-driven methods for data analysis, anomaly detection, predictive diagnostics, and decision support while ensuring the confidentiality, integrity, and availability of sensitive medical information [3, 4]. Various security mechanisms are evaluated for their effectiveness, including encryption algorithms, anonymization techniques, access control protocols, and blockchain-based solutions [2, 3, 5]. The study emphasizes the importance of integrating AI with robust cybersecurity measures to enhance trust, reliability, and efficiency in smart healthcare services [1, 4]. Practical recommendations are provided for healthcare institutions, software developers, and policymakers to ensure secure and privacy-compliant AI-assisted diagnostics [1, 5].