Artificial intelligence and Psychiatry: An overview
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[1] Rohan Kumar Yadav,et al. COVID 19-related burnout among healthcare workers in India and ECG based predictive machine learning model: Insights from the BRUCEE- Li study , 2021, Indian Heart Journal.
[2] Deepti R. Bathula,et al. Predicting women with depressive symptoms postpartum with machine learning methods , 2021, Scientific Reports.
[3] M. Mamun,et al. Suicide among adolescents and youths during the COVID‐19 pandemic lockdowns: A press media reports‐based exploratory study , 2021, Journal of child and adolescent psychiatric nursing : official publication of the Association of Child and Adolescent Psychiatric Nurses, Inc.
[4] Marco Roccetti,et al. The Prediction of Body Mass Index from Negative Affectivity through Machine Learning: A Confirmatory Study , 2021, Sensors.
[5] G. Pergola,et al. Machine learning-based ability to classify psychosis and early stages of disease through parenting and attachment-related variables is associated with social cognition , 2021, BMC Psychology.
[6] J. Prochaska,et al. A Therapeutic Relational Agent for Reducing Problematic Substance Use (Woebot): Development and Usability Study , 2021, Journal of medical Internet research.
[7] Takenobu Inoue,et al. Effect of the Information Support Robot on the Daily Activity of Older People Living Alone in Actual Living Environment , 2021, International journal of environmental research and public health.
[8] N. Volkow,et al. Drug repurposing for opioid use disorders: integration of computational prediction, clinical corroboration, and mechanism of action analyses , 2021, Molecular Psychiatry.
[9] Harikumar Rajaguru,et al. Schizophrenia EEG Signal Classification Based on Swarm Intelligence Computing , 2020, Comput. Intell. Neurosci..
[10] F. Scharnowski,et al. Securing Your Relationship: Quality of Intimate Relationships During the COVID-19 Pandemic Can Be Predicted by Attachment Style , 2020, Frontiers in Psychology.
[11] Ahmad Shalbaf,et al. Major depressive disorder diagnosis based on effective connectivity in EEG signals: a convolutional neural network and long short-term memory approach , 2020, Cognitive Neurodynamics.
[12] C. Depp,et al. Beyond artificial intelligence: exploring artificial wisdom , 2020, International Psychogeriatrics.
[13] Sanchita Paul,et al. Detection of Depression and Scaling of Severity Using Six Channel EEG Data , 2020, Journal of Medical Systems.
[14] Kavita Thakur,et al. Artificial intelligence-based classification of schizophrenia: A high density electroencephalographic and support vector machine study , 2020, Indian journal of psychiatry.
[15] Sukhwinder Singh,et al. Phase Space Reconstruction of EEG Signals for Classification of ADHD and Control Adults , 2020, Clinical EEG and neuroscience.
[16] K. R. Venugopal,et al. A Machine Learning Framework for Assessment of Cognitive and Functional Impairments in Alzheimer’s Disease: Data Preprocessing and Analysis , 2020, The Journal of Prevention of Alzheimer's Disease.
[17] Christopher J. L. Murray,et al. The burden of mental disorders across the states of India: the Global Burden of Disease Study 1990–2017 , 2019, The lancet. Psychiatry.
[18] Abhishek M. Appaji,et al. Examination of retinal vascular trajectory in schizophrenia and bipolar disorder , 2019, Psychiatry and clinical neurosciences.
[19] C. Depp,et al. Artificial Intelligence for Mental Health and Mental Illnesses: an Overview , 2019, Current Psychiatry Reports.
[20] Mustafa Suleyman,et al. Key challenges for delivering clinical impact with artificial intelligence , 2019, BMC Medicine.
[21] U. Rajendra Acharya,et al. Automated Depression Detection Using Deep Representation and Sequence Learning with EEG Signals , 2019, Journal of Medical Systems.
[22] D. Jeste,et al. The Emerging Empirical Science of Wisdom: Definition, Measurement, Neurobiology, Longevity, and Interventions , 2019, Harvard review of psychiatry.
[23] J. Halamka,et al. Chatbots and Conversational Agents in Mental Health: A Review of the Psychiatric Landscape , 2019, Canadian journal of psychiatry. Revue canadienne de psychiatrie.
[24] Achim Hekler,et al. Comparing artificial intelligence algorithms to 157 German dermatologists: the melanoma classification benchmark. , 2019, European journal of cancer.
[25] Adrian B. R. Shatte,et al. Machine learning in mental health: a scoping review of methods and applications , 2019, Psychological Medicine.
[26] Raymond Y Huang,et al. Artificial intelligence in cancer imaging: Clinical challenges and applications , 2019, CA: a cancer journal for clinicians.
[27] M. Zapata,et al. Artificial Intelligence for the Detection of Diabetic Retinopathy in Primary Care: Protocol for Algorithm Development , 2019, JMIR research protocols.
[28] P. Henningsen,et al. Your Robot Therapist Will See You Now: Ethical Implications of Embodied Artificial Intelligence in Psychiatry, Psychology, and Psychotherapy , 2018, Journal of medical Internet research.
[29] Shyam Sundar Rajagopalan,et al. Machine learning detects EEG microstate alterations in patients living with temporal lobe epilepsy , 2018, Seizure.
[30] Guodong Guo,et al. Video-Based Depression Level Analysis by Encoding Deep Spatiotemporal Features , 2018, IEEE Transactions on Affective Computing.
[31] Kieron O'Connor,et al. Exploration of the dialogue components in Avatar Therapy for schizophrenia patients with refractory auditory hallucinations: A content analysis. , 2018, Clinical psychology & psychotherapy.
[32] Mel Slater,et al. Automated psychological therapy using immersive virtual reality for treatment of fear of heights: a single-blind, parallel-group, randomised controlled trial , 2018, The lancet. Psychiatry.
[33] M. Lexis,et al. Roles, Strengths and Challenges of Using Robots in Interventions for Children with Autism Spectrum Disorder (ASD) , 2018, Journal of Autism and Developmental Disorders.
[34] D. Sachan. Self-help robots drive blues away. , 2018, The lancet. Psychiatry.
[35] A. Sheikh,et al. Health Care Robotics: Qualitative Exploration of Key Challenges and Future Directions , 2018, Journal of medical Internet research.
[36] K. O'Connor,et al. Virtual reality therapy for refractory auditory verbal hallucinations in schizophrenia: A pilot clinical trial , 2018, Schizophrenia Research.
[37] John Quackenbush,et al. Artificial intelligence in radiology , 2018, Nature Reviews Cancer.
[38] A. Meyer-Lindenberg,et al. Machine Learning for Precision Psychiatry: Opportunities and Challenges. , 2017, Biological psychiatry. Cognitive neuroscience and neuroimaging.
[39] E. Brown,et al. Artificial Intelligence in Medical Practice: The Question to the Answer? , 2017, The American journal of medicine.
[40] M. Neerincx,et al. How should a virtual agent present psychoeducation? Influence of verbal and textual presentation on adherence , 2017, Technology and health care : official journal of the European Society for Engineering and Medicine.
[41] Haipeng Shen,et al. Artificial intelligence in healthcare: past, present and future , 2017, Stroke and Vascular Neurology.
[42] K. Fitzpatrick,et al. Delivering Cognitive Behavior Therapy to Young Adults With Symptoms of Depression and Anxiety Using a Fully Automated Conversational Agent (Woebot): A Randomized Controlled Trial , 2017, JMIR mental health.
[43] C. Chuang-Stein,et al. Use of a Novel Artificial Intelligence Platform on Mobile Devices to Assess Dosing Compliance in a Phase 2 Clinical Trial in Subjects With Schizophrenia , 2017, JMIR mHealth and uHealth.
[44] G. Gabbard,et al. The Early Career Psychiatrist and the Psychotherapeutic Identity , 2017, Academic Psychiatry.
[45] Nima Tajbakhsh,et al. Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning? , 2016, IEEE Transactions on Medical Imaging.
[46] Nico Karssemeijer,et al. Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring , 2016, IEEE Transactions on Medical Imaging.
[47] L. Billeci,et al. Autism and social robotics: A systematic review , 2016, Autism research : official journal of the International Society for Autism Research.
[48] Toshiya Nakaguchi,et al. Unsupervised detection of liver lesions in CT images , 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[49] T. Shibata,et al. Use of a Therapeutic, Socially Assistive Pet Robot (PARO) in Improving Mood and Stimulating Social Interaction and Communication for People With Dementia: Study Protocol for a Randomized Controlled Trial , 2015, JMIR research protocols.
[50] D. Luxton. Artificial intelligence in psychological practice: Current and future applications and implications. , 2014 .
[51] David D. Luxton,et al. Recommendations for the ethical use and design of artificial intelligent care providers , 2014, Artif. Intell. Medicine.
[52] Ljupco Kocarev,et al. Machine learning approach for classification of ADHD adults. , 2014, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[53] Dong Yu,et al. Deep Learning: Methods and Applications , 2014, Found. Trends Signal Process..
[54] Jürgen Schmidhuber,et al. Deep learning in neural networks: An overview , 2014, Neural Networks.
[55] Takanori Shibata,et al. Living With Seal Robots—Its Sociopsychological and Physiological Influences on the Elderly at a Care House , 2007, IEEE Transactions on Robotics.
[56] T. Goldberg,et al. Quantifying incoherence in speech: An automated methodology and novel application to schizophrenia , 2007, Schizophrenia Research.
[57] Simon Gilbody,et al. Stepped care in psychological therapies: access, effectiveness and efficiency , 2005, British Journal of Psychiatry.
[58] T. Ashburn,et al. Drug repositioning: identifying and developing new uses for existing drugs , 2004, Nature Reviews Drug Discovery.
[59] D. Ford,et al. Internet support groups for depression: a 1-year prospective cohort study. , 2002, The American journal of psychiatry.
[60] J J Hopfield,et al. Neural networks and physical systems with emergent collective computational abilities. , 1982, Proceedings of the National Academy of Sciences of the United States of America.
[61] A. M. Turing,et al. Computing Machinery and Intelligence , 1950, The Philosophy of Artificial Intelligence.
[62] M. Fakhoury. Artificial Intelligence in Psychiatry. , 2019, Advances in experimental medicine and biology.
[63] A. Nierenberg,et al. Predictive analytics in mental health: applications, guidelines, challenges and perspectives , 2017, Molecular Psychiatry.
[64] S. R. Bhagyashree,et al. Diagnosis of Dementia by Machine learning methods in Epidemiological studies: a pilot exploratory study from south India , 2017, Social Psychiatry and Psychiatric Epidemiology.
[65] D. Luxton. An Introduction to Artificial Intelligence in Behavioral and Mental Health Care , 2016 .
[66] Cornelius T. Leondes,et al. Expert systems : the technology of knowledge management and decision making for the 21st century , 2002 .
[67] John McCarthy,et al. Artificial Intelligence, Logic and Formalizing Common Sense , 1989 .