Published on in Vol 8, No 12 (2021): December
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/30439, first published
.

Journals
- Lin B, Tan Z, Mo Y, Yang X, Liu Y, Xu B. Intelligent oncology: The convergence of artificial intelligence and oncology. Journal of the National Cancer Center 2023;3(1):83 View
- Arioz U, Smrke U, Plohl N, Mlakar I. Scoping Review on the Multimodal Classification of Depression and Experimental Study on Existing Multimodal Models. Diagnostics 2022;12(11):2683 View
- Yasin S, Othmani A, Raza I, Hussain S. Machine learning based approaches for clinical and non-clinical depression recognition and depression relapse prediction using audiovisual and EEG modalities: A comprehensive review. Computers in Biology and Medicine 2023;159:106741 View
- Chen Z, Kulkarni P, Galatzer-Levy I, Bigio B, Nasca C, Zhang Y. Modern views of machine learning for precision psychiatry. Patterns 2022;3(11):100602 View
- Wang H, Lin H, Liu B. Research progress on the psychological burden and intervention measures in cancer patients. Frontiers in Psychiatry 2024;15 View
- Mlakar I, Arioz U, Smrke U, Plohl N, Šafran V, Rojc M. An End-to-End framework for extracting observable cues of depression from diary recordings. Expert Systems with Applications 2024;257:125025 View
- Das K, Gavade P. A review on the efficacy of artificial intelligence for managing anxiety disorders. Frontiers in Artificial Intelligence 2024;7 View
- Smrke U, Mlakar I, Rehberger A, Žužek L, Plohl N. Decoding anxiety: A scoping review of observable cues. DIGITAL HEALTH 2024;10 View
- Goh Y, See Q, Vongsirimas N, Klanin‐Yobas P. Artificial Intelligence in Diagnosing Depression Through Behavioural Cues: A Diagnostic Accuracy Systematic Review and Meta‐Analysis. Journal of Clinical Nursing 2025 View
- Rony M, Das D, Khatun M, Ferdousi S, Akter M, Khatun M, Begum M, Khalil M, Parvin M, Alrazeeni D, Akter F. Artificial intelligence in psychiatry: A systematic review and meta-analysis of diagnostic and therapeutic efficacy. DIGITAL HEALTH 2025;11 View
- Bires J, Franklin E, Nelson K, Bonesteel K, Flora D. Exploring the Intersection of Artificial Intelligence and Psychosocial Oncology: Enhancing Care in the Digital Age. AI in Precision Oncology 2025;2(3):80 View
Books/Policy Documents
Conference Proceedings
- Jindal S, Jindal M, Bhati P. 2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST). Artificial Intelligence in cancer survivorship care plans: what lies beyond diagnostics? View
- Smrke U, Mlakar I, Arioz U, Plohl N. INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING ICCMSE 2022. Artificial intelligence-based detection of cancer survivors’ depression cues: A narrative review View