[HTML][HTML] Natural language processing for mental health interventions: a systematic review and research framework

M Malgaroli, TD Hull, JM Zech, T Althoff - Translational Psychiatry, 2023 - nature.com
Neuropsychiatric disorders pose a high societal cost, but their treatment is hindered by lack
of objective outcomes and fidelity metrics. AI technologies and specifically Natural …

The entropic brain-revisited

RL Carhart-Harris - Neuropharmacology, 2018 - Elsevier
The entropic brain hypothesis proposes that within upper and lower limits, after which
consciousness may be lost, the entropy of spontaneous brain activity indexes the …

[HTML][HTML] Predicting responses to psychedelics: a prospective study

ECHM Haijen, M Kaelen, L Roseman… - Frontiers in …, 2018 - frontiersin.org
Responses to psychedelics are notoriously difficult to predict, yet significant work is currently
underway to assess their therapeutic potential and the level of interest in psychedelics …

[HTML][HTML] Methodological and quality flaws in the use of artificial intelligence in mental health research: systematic review

R Tornero-Costa, A Martinez-Millana… - JMIR Mental …, 2023 - mental.jmir.org
Background: Artificial intelligence (AI) is giving rise to a revolution in medicine and health
care. Mental health conditions are highly prevalent in many countries, and the COVID-19 …

The current state of artificial intelligence in ophthalmology

R Kapoor, SP Walters, LA Al-Aswad - Survey of ophthalmology, 2019 - Elsevier
Artificial intelligence (AI) is a branch of computer science that deals with the development of
algorithms that seek to simulate human intelligence. We provide an overview of the basic …

[HTML][HTML] Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatment

M Squires, X Tao, S Elangovan, R Gururajan, X Zhou… - Brain Informatics, 2023 - Springer
Informatics paradigms for brain and mental health research have seen significant advances
in recent years. These developments can largely be attributed to the emergence of new …

Clinical and biological predictors of psychedelic response in the treatment of psychiatric and addictive disorders: A systematic review

B Romeo, M Hermand, A Pétillion, L Karila… - Journal of Psychiatric …, 2021 - Elsevier
Background The use of psychedelic treatments has shown very promising results in some
psychiatric and addictive disorders, but not all patients achieved a response. Aim The aim of …

Using text mining to extract depressive symptoms and to validate the diagnosis of major depressive disorder from electronic health records

CS Wu, CJ Kuo, CH Su, SH Wang, HJ Dai - Journal of affective disorders, 2020 - Elsevier
Background Many studies have used Taiwan's National Health Insurance Research
database (NHIRD) to conduct psychiatric research. However, the accuracy of the diagnostic …

[HTML][HTML] Dreaming during the Covid-19 pandemic: Computational assessment of dream reports reveals mental suffering related to fear of contagion

NB Mota, J Weissheimer, M Ribeiro, M De Paiva… - PloS one, 2020 - journals.plos.org
The current global threat brought on by the Covid-19 pandemic has led to widespread social
isolation, posing new challenges in dealing with metal suffering related to social distancing …

Can psilocybin be safely administered under medical supervision? A systematic review of adverse event reporting in clinical trials

J Roscoe, O Lozy - Drug Science, Policy and Law, 2022 - journals.sagepub.com
This systematic review investigates whether clinical trials of psilocybin support criterion
number three of the drug's schedule I designation: There is a lack of accepted safety for use …