AbbeAGrouinCZweigenbaumP, et al.Text mining applications in psychiatry: a systematic literature review. Int J Methods Psychiatr Res2016; 25(2): 86–100. DOI: 10.1002/mpr.1481.
2.
KarystianisGAdilyASchofieldP, et al.Automatic extraction of mental health disorders from domestic violence police narratives: text mining study. J Med Internet Res2018; 20: e11548. DOI: 10.2196/11548.
3.
KarystianisGChowdhuryNSheridanL, et al.Text mining domestic violence police narratives to identify behaviours linked to coercive control. Crime Sci2024; 13: 2. DOI: 10.1186/s40163-024-00200-2.
4.
ChekroudAMBondarJDelgadilloJ, et al.The promise of machine learning in predicting treatment outcomes in psychiatry. World Psychiatr2021; 20: 154–170. DOI: 10.1002/wps.20882.
5.
SuCXuZPathakJ, et al.Deep learning in mental health outcome research: a scoping review. Transl Psychiatry2020; 10: 116. DOI: 10.1038/s41398-020-0780-3.
6.
HaleemAJavaidMKhanIH. Current status and applications of artificial intelligence (AI) in medical field: an overview. Current Medicine Research and Practice2019; 9: 231–237. DOI: 10.1016/j.cmrp.2019.11.005.
7.
BasileAOYahiATatonettiNP. Artificial intelligence for drug toxicity and safety. Trends Pharmacol Sci2019; 40: 624–635. DOI: 10.1016/j.tips.2019.07.005.
8.
Abd-alrazaqAAlSaadRAzizS, et al.Wearable artificial intelligence for anxiety and depression: scoping review. J Med Internet Res2023; 25: e42672. DOI: 10.2196/42672.
9.
BenderEMGebruTMcMillan-MajorA, et al.On the dangers of stochastic parrots. In: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency. 2021, p. 610–623.
10.
MitchellM. Artificial intelligence: a guide for thinking humans. London, UK: Pelican, 2020, p. 448.
KimCYKimSYChoSH, et al.Bridging the language gap: domain-specific dataset construction for medical LLMs. In: GuoJMaYDingY, et al. (eds). Generalizing from Limited Resources in the Open World. Singapore: Springer Nature, pp. 134–146.
13.
RubinMArnonHHuppertJD, et al.Considering the role of human empathy in AI-driven therapy. JMIR Ment Health2024; 11: e56529. DOI: 10.2196/56529.
14.
LeePBubeckSPetroJ. Benefits, limits, and risks of GPT-4 as an AI chatbot for medicine. N Engl J Med2023; 388: 1233–1239. DOI: 10.1056/NEJMsr2214184.
15.
SabaWS. Stochastic LLMs do not understand language: towards symbolic, explainable and ontologically based LLMs. In: International Conference on Conceptual Modeling, 29 October 2023, Cham, Springer Nature Switzerland, pp. 3–19.
16.
KoeneckeAChoiASGMeiKX, et al.Careless whisper: speech-to-text hallucination harms. In: The 2024 ACM conference on fairness, accountability, and transparency, 2024, pp. 1672–1681.
WongK. The USA PATRIOT Act and the extent to which US government law enforcement agencies can obtain information from abroad. Communications Law Bulletin2014; 33: 14–17.
19.
PrictorMJohnstonCHyattA. Overt and covert recordings of health care consultations in Australia: some legal considerations. Med J Aust2021; 214: 119–123. DOI: 10.5694/mja2.50838.