The performance of artificial intelligence-driven technologies in diagnosing mental disorders: an umbrella review

Individualized diagnostic and prognostic models for patients with psychosis risk syndromes: A meta-analytic view on the state-of-the-art.

(2020) Rachele Sanfelici et al.   BIOLOGICAL PSYCHIATRY

The Parasitic Nature of Social AI: Sharing Minds with the Mindless

(2020) Henrik Skaug Sætra   INTEGRATIVE PSYCHOLOGICAL AND BEHAVIORAL SCIENCE

Artificial Intelligence in the Fight against COVID-19: A Scoping Review (Preprint)

(2020) Alaa Abd-Alrazaq et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Artificial intelligence and neuropsychological measures: The case of Alzheimer’s disease

(2020) Petronilla Battista et al.   NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS

Deep learning in mental health outcome research: a scoping review

(2020) Chang Su et al.   Translational Psychiatry

Application of Support Vector Machine on fMRI Data as Biomarkers in Schizophrenia Diagnosis: A Systematic Review

(2020) Luca Steardo et al.   Frontiers in Psychiatry

A systematic literature review of automatic Alzheimer’s disease detection from speech and language

(2020) Ulla Petti et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Machine Learning for the Classification of Alzheimer’s Disease and Its Prodromal Stage Using Brain Diffusion Tensor Imaging Data: A Systematic Review

(2020) Lucia Billeci et al.   Processes

The Role of EEG in the Diagnosis, Prognosis and Clinical Correlations of Dementia with Lewy Bodies—A Systematic Review

(2020) Zhe Kang Law et al.   Diagnostics

Global Burden of Disease and the Impact of Mental and Addictive Disorders

(2019) Jürgen Rehm et al.   Current Psychiatry Reports

Adaptive Identification of Cortical and Subcortical Imaging Markers of Early Life Stress and Posttraumatic Stress Disorder

(2019) Lauren E. Salminen et al.   JOURNAL OF NEUROIMAGING

Your Robot Therapist Will See You Now: Ethical Implications of Embodied Artificial Intelligence in Psychiatry, Psychology, and Psychotherapy

(2019) Amelia Fiske et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

If Technology Is a Parasite Masquerading as a Symbiont?Are We the Host?

(2019) Jeff Robbins   IEEE TECHNOLOGY AND SOCIETY MAGAZINE

The use of machine learning techniques in trauma-related disorders: a systematic review

(2019) Luis Francisco Ramos-Lima et al.   JOURNAL OF PSYCHIATRIC RESEARCH

Deep learning to detect Alzheimer's disease from neuroimaging: A systematic literature review

(2019) Mr Amir Ebrahimighahnavieh et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Diagnostic neuroimaging markers of obsessive-compulsive disorder: Initial evidence from structural and functional MRI studies

(2018) Willem Bruin et al.   PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY

Using deep autoencoders to identify abnormal brain structural patterns in neuropsychiatric disorders: A large-scale multi-sample study

(2018) Walter H. L. Pinaya et al.   HUMAN BRAIN MAPPING

Towards person-centered neuroimaging markers for resilience and vulnerability in Bipolar Disorder

(2017) Sophia Frangou et al.   NEUROIMAGE

The impact of machine learning techniques in the study of bipolar disorder: A systematic review

(2017) Diego Librenza-Garcia et al.   NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS

The relationship between physical and mental health: A mediation analysis

(2017) Julius Ohrnberger et al.   SOCIAL SCIENCE & MEDICINE

Sixty seconds on . . . sex with robots

(2017) Ingrid Torjesen   BMJ-British Medical Journal

Random Forest Algorithm for the Classification of Neuroimaging Data in Alzheimer's Disease: A Systematic Review

(2017) Alessia Sarica et al.   Frontiers in Aging Neuroscience

Sixty seconds on . . . sex with robots

(2017) Ingrid Torjesen   BMJ-British Medical Journal

A Neural Marker of Obsessive-Compulsive Disorder from Whole-Brain Functional Connectivity

(2017) Yu Takagi et al.   Scientific Reports

Schizophrenia

(2016) Michael J Owen et al.   LANCET