‘Psychiatry and model security’ Meet the Best Psychiatrists - Dr. Anuja Kelkar ( MBBS, MD)

 

Psychiatry and model security intersect in their shared concern for safeguarding computational models used in mental health research and clinical practice against unauthorized access, manipulation, and misuse. Model security involves implementing measures to protect machine learning algorithms, predictive models, and patient data from cybersecurity threats, privacy breaches, and adversarial attacks.

In psychiatry, where sensitive patient information and predictive algorithms are used to inform clinical decisions, ensuring model security is essential for maintaining patient confidentiality, integrity, and trust. Psychiatrists prioritize model security by implementing encryption techniques, access controls, and secure communication protocols to protect data transmission and storage.

Furthermore, model security involves conducting vulnerability assessments and penetration testing to identify and mitigate potential security risks and vulnerabilities in computational models and infrastructure. By prioritizing model security, psychiatrists can mitigate the risk of data breaches, ensure compliance with privacy regulations, and safeguard the confidentiality and integrity of patient information in mental health settings.

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