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Automated analysis of free speech predicts psychosis onset in high-risk youths
Autores: Gillinder Bedi, Facundo Carrillo, Guillermo Cecchi, Diego Fernández Slezak, Mariano Sigman, Natália Bezerra Mota, Sidarta Ribeiro, Daniel C. Javitt, Mauro Copelli, Cheryl M. Corcoran
Schizophrenia
2015
Citas: 686
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|---|---|---|---|---|
| 1 | Machine learning in medicine: a practical introduction | 2019 | - | Jenni A. M. Sidey-Gibbons, Chris Sidey‐Gibbons |
| 2 | Ethical and regulatory challenges of AI technologies in healthcare: A narrative review | 2024 | - | Ciro Mennella, Umberto Maniscalco, Giuseppe De Pietro, Massimo Esposito |
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| 4 | Your Robot Therapist Will See You Now: Ethical Implications of Embodied Artificial Intelligence in Psychiatry, Psychology, and Psychotherapy | 2019 | - | Amelia Fiske, Peter Henningsen, Alena Buyx |
| 5 | New Tools for New Research in Psychiatry: A Scalable and Customizable Platform to Empower Data Driven Smartphone Research | 2016 | - | John Torous, Mathew V. Kiang, Jeanette Lorme, Jukka‐Pekka Onnela |
| 6 | Machine Learning and Natural Language Processing in Mental Health: Systematic Review | 2020 | - | Aziliz Le Glaz, Yannis Haralambous, Deok-Hee Kim-Dufor, Philippe Lenca, Romain Billot, Taylor C. Ryan, Jonathan Marsh, Jordan DeVylder, Michel Walter, Sofian Berrouiguet, Christophe Lemey |
| 7 | The entropic brain - revisited | 2018 | - | Robin Carhart‐Harris |
| 8 | Gender equality in science, medicine, and global health: where are we at and why does it matter? | 2019 | - | Geordan Shannon, Melanie Jansen, Kate Williams, Carlos F. Cáceres, Angélica Motta, Aloyce Odhiambo, Alie Eleveld, Jeneviève Mannell |
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| 10 | Machine Learning and the Profession of Medicine | 2016 | - | Alison Darcy, Alan K. Louie, Laura Weiss Roberts |
| 11 | RETRACTED ARTICLE: Artificial intelligence and machine learning in precision and genomic medicine | 2022 | - | Sameer Quazi |
| 12 | The WPA- Lancet Psychiatry Commission on the Future of Psychiatry | 2017 | - | Dinesh Bhugra, Allan Tasman, Soumitra Pathare, Stefan Priebe, Shubuladè Smith, John Torous, Melissa R. Arbuckle, Alex Langford, Renato D. Alarcón, Helen Fung Kum Chiu, Michael B. First, Jerald Kay, Charlene Sunkel, Anita Thapar, Pichet Udomratn, Florence Baingana, Dévora Kestel, Roger Ng, Anita Patel, Livia De Picker, Kwame McKenzie, Driss Moussaoui, Matt Muijen, Peter Βartlett, Sophie Davison, Tim Exworthy, Nasser Loza, Diana Rose, Júlio Torales, Mark Brown, Helen Christensen, Joseph Firth, Matcheri S. Keshavan, Ang Li, Jukka-Pekka Onnela, Til Wykes, Hussien Elkholy, Gurvinder Kalra, Kate Lovett, Michael J. Travis, Antonio Ventriglio |
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| 14 | Prediction of psychosis across protocols and risk cohorts using automated language analysis | 2018 | - | Cheryl M. Corcoran, Facundo Carrillo, Diego Fernández Slezak, Gillinder Bedi, Casimir Klim, Daniel C. Javitt, Carrie E. Bearden, Guillermo Cecchi |
| 15 | Moving From Static to Dynamic Models of the Onset of Mental Disorder | 2017 | - | Barnaby Nelson, Patrick D. McGorry, Marieke Wichers, Johanna T. W. Wigman, Jessica Hartmann |
| 16 | Detecting formal thought disorder by deep contextualized word representations | 2021 | - | Justyna Sarzyńska‐Wawer, Aleksander Wawer, Aleksandra Pawlak, Julia Szymanowska, Izabela Stefaniak, Michał Jarkiewicz, Łukasz Okruszek |
| 17 | Prediction Models of Functional Outcomes for Individuals in the Clinical High-Risk State for Psychosis or With Recent-Onset Depression | 2018 | - | Nikolaos Koutsouleris, Lana Kambeitz‐Ilankovic, Stephan Ruhrmann, Marlene Rosen, Anne Ruef, Dominic Dwyer, Marco Paolini, Katharine Chisholm, Joseph Kambeitz, Theresa Haidl, André Schmidt, J. F. E. Gillam, Frauke Schultze‐Lutter, Peter Falkai, Maximilian F. Reiser, Anita Riecher‐Rössler, Rachel Upthegrove, Jarmo Hietala, Raimo K. R. Salokangas, Christos Pantelis, Eva Meisenzahl, Stephen J. Wood, D. Bequé, Paolo Brambilla, Stefan Borgwardt |
| 18 | Medical artificial intelligence readiness scale for medical students (MAIRS-MS) – development, validity and reliability study | 2021 | - | Ozan Karaca, S. Ayhan Çalışkan, Kadir Demir |
| 19 | Translating cancer genomics into precision medicine with artificial intelligence: applications, challenges and future perspectives | 2019 | - | Jia Xu, Pengwei Yang, Shang Xue, Bhuvan Sharma, Marta Sánchez-Martín, Fang Wang, Kirk Beaty, Elinor Dehan, Baiju Parikh |
| 20 | Natural language processing in medicine: A review | 2021 | - | Saskia Locke, Anthony Bashall, Sarah Al-Adely, John Moore, Anthony Wilson, Gareth Kitchen |
| 21 | Artificial intelligence in positive mental health: a narrative review | 2024 | - | Anoushka Thakkar, Ankita Gupta, Avinash De Sousa |
| 22 | Artificial intelligence innovation in healthcare: Literature review, exploratory analysis, and future research | 2023 | - | Ahmed Zahlan, Ravi Prakash Ranjan, David Hayes |
| 23 | Implementing Precision Psychiatry: A Systematic Review of Individualized Prediction Models for Clinical Practice | 2020 | - | Gonzalo Salazar de Pablo, Erich Studerus, Julio Vaquerizo‐Serrano, Jessica Irving, Ana Catalán, Dominic Oliver, Helen Baldwin, Andrea Danese, Seena Fazel, Ewout W. Steyerberg, Daniel Ståhl, Paolo Fusar‐Poli |
| 24 | Ethical Issues for Direct-to-Consumer Digital Psychotherapy Apps: Addressing Accountability, Data Protection, and Consent | 2018 | - | Nicole Martinez‐Martin, Karola Kreitmair |
| 25 | A technical review of canonical correlation analysis for neuroscience applications | 2020 | - | Xiaowei Zhuang, Zhengshi Yang, Dietmar Cordes |
| 26 | Data mining for health: staking out the ethical territory of digital phenotyping | 2018 | - | Nicole Martinez‐Martin, Thomas R. Insel, Paul Dagum, Henry T. Greely, Mildred K. Cho |
| 27 | Natural Language Processing for Smart Healthcare | 2022 | - | Binggui Zhou, Guanghua Yang, Zheng Shi, Shaodan Ma |
| 28 | A machine learning approach to predicting psychosis using semantic density and latent content analysis | 2019 | - | Neguine Rezaii, Elaine F. Walker, Phillip Wolff |
| 29 | Artificial Intelligence-Assisted Online Social Therapy for Youth Mental Health | 2017 | - | Simon D’Alfonso, Olga Santesteban‐Echarri, Simon Rice, Greg Wadley, Reeva Lederman, Christopher Miles, John Gleeson, Mario Álvarez‐Jiménez |
| 30 | Language as a biomarker for psychosis: A natural language processing approach | 2020 | - | Cheryl M. Corcoran, Vijay A. Mittal, Carrie E. Bearden, Raquel E. Gur, Kasia Hitczenko, Zarina Bilgrami, Aleksandar Savić, Guillermo Cecchi, Phillip Wolff |
| 31 | Traditional and Digital Biomarkers: Two Worlds Apart? | 2019 | - | Lmar Babrak, Joseph P. Menetski, Michael Rebhan, Giovanni Nisato, Marc Zinggeler, Noé Brasier, Katja Baerenfaller, Thomas Brenzikofer, Laurenz Baltzer, Christian Vogler, Leo Gschwind, Cornelia Schneider, Fabian Streiff, Peter Groenen, Enkelejda Miho |
| 32 | A Collaborative Approach to Identifying Social Media Markers of Schizophrenia by Employing Machine Learning and Clinical Appraisals | 2017 | - | Michael L. Birnbaum, Sindhu Kiranmai Ernala, Asra F. Rizvi, Munmun De Choudhury, John M. Kane |
| 33 | Wearable, Environmental, and Smartphone-Based Passive Sensing for Mental Health Monitoring | 2021 | - | Mahsa Sheikh, Meha Qassem, Panicos A. Kyriacou |
| 34 | Formal thought disorders: from phenomenology to neurobiology | 2018 | - | Tilo Kircher, Henrike Bröhl, Felicitas Meier, Jennifer Engelen |
| 35 | Evaluation of Speech-Based Digital Biomarkers: Review and Recommendations | 2020 | - | Jessica Robin, John Harrison, Liam D. Kaufman, Frank Rudzicz, William Simpson, Maria Yancheva |
| 36 | The communicative impairment as a core feature of schizophrenia: Frequency of pragmatic deficit, cognitive substrates, and relation with quality of life | 2016 | - | Valentina Bambini, Giorgio Arcara, Margherita Bechi, Mariachiara Buonocore, Roberto Cavallaro, Marta Bosia |
| 37 | Machine learning in medicine: a practical introduction to natural language processing | 2021 | - | Conrad Harrison, Chris Sidey‐Gibbons |
| 38 | A systematic review of artificial intelligence-powered (AI-powered) chatbot intervention for managing chronic illness | 2024 | - | Moh Heri Kurniawan, Hanny Handiyani, Tuti Nuraini, Rr. Tutik Sri Hariyati, Sutrisno Sutrisno |
| 39 | Thought disorder measured as random speech structure classifies negative symptoms and schizophrenia diagnosis 6 months in advance | 2017 | - | Natália Bezerra Mota, Mauro Copelli, Sidarta Ribeiro |
| 40 | A survey on big data-driven digital phenotyping of mental health | 2019 | - | Yunji Liang, Xiaolong Zheng, Daniel Zeng |
| 41 | Using Language Processing and Speech Analysis for the Identification of Psychosis and Other Disorders | 2020 | - | Cheryl M. Corcoran, Guillermo Cecchi |
| 42 | Artificial Intelligence in Biological Sciences | 2022 | - | Abhaya Bhardwaj, Shristi Kishore, Dhananjay K. Pandey |
| 43 | How language flows when movements don’t: An automated analysis of spontaneous discourse in Parkinson’s disease | 2016 | - | Adolfo M. García, Facundo Carrillo, Juan Rafael Orozco‐Arroyave, Natalia Trujillo, J. F. Vargas‐Bonilla, Sol Fittipaldi, Federico Adolfi, Elmar Nöth, Mariano Sigman, Diego Fernández Slezak, Agustín Ibáñez, Guillermo Cecchi |
| 44 | Executive functions predict verbal fluency scores in healthy participants | 2020 | - | Julia Amunts, Julia A. Camilleri, Simon B. Eickhoff, Stefan Heim, Susanne Weis |
| 45 | The four dimensions of contestable AI diagnostics - A patient-centric approach to explainable AI | 2020 | - | Thomas Ploug, Søren Holm |
| 46 | Natural language processing methods are sensitive to sub-clinical linguistic differences in schizophrenia spectrum disorders | 2021 | - | Sunny X. Tang, Reno Kriz, Sunghye Cho, Suh Jung Park, Jenna Harowitz, Raquel E. Gur, Mahendra T. Bhati, Daniel H. Wolf, João Sedoc, Mark Liberman |
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| 48 | Chain free association, creativity, and the default mode network | 2018 | - | Tali R. Marron, Yulia Lerner, Ety Berant, Sivan Kinreich, Irit Shapira‐Lichter, Talma Hendler, Miriam Faust |
| 49 | The right to refuse diagnostics and treatment planning by artificial intelligence | 2019 | - | Thomas Ploug, Søren Holm |
| 50 | Digital Phenotyping: Data-Driven Psychiatry to Redefine Mental Health | 2023 | - | Antoine Oudin, Redwan Maatoug, Alexis Bourla, Florian Ferreri, Olivier Bonnot, Bruno Millet, Félix Schoeller, Stéphane Mouchabac, Vladimir Adrien |
| 51 | Speech‐based markers for posttraumatic stress disorder in US veterans | 2019 | - | Charles R. Marmar, Adam D. Brown, Meng Qian, Eugene Laska, Carole Siegel, Meng Li, Duna Abu‐Amara, Andreas Tsiartas, Colleen Richey, Jennifer Smith, Bruce Knoth, Dimitra Vergyri |
| 52 | Anomalies in language as a biomarker for schizophrenia | 2020 | - | Janna N. de Boer, Sanne Brederoo, Alban Voppel, Iris E. Sommer |
| 53 | Ensuring patient and public involvement in the transition to AI‐assisted mental health care: A systematic scoping review and agenda for design justice | 2021 | - | Teodor Zidaru, Elizabeth Morrow, Rich Stockley |
| 54 | Predicting future mental illness from social media: A big-data approach | 2019 | - | Robert Thorstad, Phillip Wolff |
| 55 | Detecting relapse in youth with psychotic disorders utilizing patient-generated and patient-contributed digital data from Facebook | 2019 | - | Michael L. Birnbaum, Sindhu Kiranmai Ernala, Asra F. Rizvi, Elizabeth Arenare, Anna Van Meter, Munmun De Choudhury, John M. Kane |
| 56 | Consciousness matters: phenomenal experience has functional value | 2022 | - | Axel Cleeremans, Catherine Tallon‐Baudry |
| 57 | Neural Net Models of Open-domain Discourse Coherence | 2017 | - | Jiwei Li, Dan Jurafsky |
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| 59 | Automatic Detection of Incoherent Speech for Diagnosing Schizophrenia | 2018 | - | Dan Iter, Jong‐Woo Yoon, Dan Jurafsky |
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| 66 | Using Natural Language Processing on Electronic Health Records to Enhance Detection and Prediction of Psychosis Risk | 2020 | - | Jessica Irving, Rashmi Patel, Dominic Oliver, Craig Colling, Megan Pritchard, Matthew Broadbent, Helen Baldwin, Daniel Ståhl, Robert Stewart, Paolo Fusar‐Poli |
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| 68 | Artificial Intelligence to Decode Cancer Mechanism: Beyond Patient Stratification for Precision Oncology | 2020 | - | Sandip Kumar Patel, Bhawana George, Vineeta Rai |
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