This paper is in the following e-collection/theme issue:

Methods and New Tools in Mental Health Research (424) Mobile Health (mhealth) (2748) New Methods (902) mHealth for Data Collection and Research (907) Psychotic Disorders (156) Digital Biomarkers and Digital Phenotyping (177)

Published on in Vol 3, No 2 (2016): Apr-Jun

New Tools for New Research in Psychiatry: A Scalable and Customizable Platform to Empower Data Driven Smartphone Research

New Tools for New Research in Psychiatry: A Scalable and Customizable Platform to Empower Data Driven Smartphone Research

New Tools for New Research in Psychiatry: A Scalable and Customizable Platform to Empower Data Driven Smartphone Research

Authors of this article:

John Torous1, 2 Author Orcid Image ;   Mathew V Kiang3 Author Orcid Image ;   Jeanette Lorme4 Author Orcid Image ;   Jukka-Pekka Onnela4 Author Orcid Image
Article Authors Cited by (407) Tweetations (80) Metrics

Journals

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  249. Xia C, Barnett I, Tapera T, Adebimpe A, Baker J, Bassett D, Brotman M, Calkins M, Cui Z, Leibenluft E, Linguiti S, Lydon-Staley D, Martin M, Moore T, Murtha K, Piiwaa K, Pines A, Roalf D, Rush-Goebel S, Wolf D, Ungar L, Satterthwaite T. Mobile footprinting: linking individual distinctiveness in mobility patterns to mood, sleep, and brain functional connectivity. Neuropsychopharmacology 2022;47(9):1662 View
  250. Coppersmith D, Wang S, Kleiman E, Maimone J, Fedor S, Bentley K, Millner A, Fortgang R, Picard R, Beck S, Huffman J, Nock M. Real-time digital monitoring of a suicide attempt by a hospital patient. General Hospital Psychiatry 2023;80:35 View
  251. Choudhary S, Thomas N, Ellenberger J, Srinivasan G, Cohen R. A Machine Learning Approach for Detecting Digital Behavioral Patterns of Depression Using Nonintrusive Smartphone Data (Complementary Path to Patient Health Questionnaire-9 Assessment): Prospective Observational Study. JMIR Formative Research 2022;6(5):e37736 View
  252. Ren B, Xia C, Gehrman P, Barnett I, Satterthwaite T. Measuring Daily Activity Rhythms in Young Adults at Risk of Affective Instability Using Passively Collected Smartphone Data: Observational Study. JMIR Formative Research 2022;6(9):e33890 View
  253. Staples P, Torous J, Barnett I, Carlson K, Sandoval L, Keshavan M, Onnela J. A comparison of passive and active estimates of sleep in a cohort with schizophrenia. npj Schizophrenia 2017;3(1) View
  254. Stampfler T, Elgendi M, Fletcher R, Menon C. The use of deep learning for smartphone-based human activity recognition. Frontiers in Public Health 2023;11 View
  255. Marciano L, Saboor S. Reinventing mental health care in youth through mobile approaches: Current status and future steps. Frontiers in Psychology 2023;14 View
  256. Haddas R, Lawlor M, Moghadam E, Fields A, Wood A. Spine patient care with wearable medical technology: state-of-the-art, opportunities, and challenges: a systematic review. The Spine Journal 2023;23(7):929 View
  257. Langener A, Stulp G, Kas M, Bringmann L. Capturing the Dynamics of the Social Environment Through Experience Sampling Methods, Passive Sensing, and Egocentric Networks: Scoping Review. JMIR Mental Health 2023;10:e42646 View
  258. Xia W, Basford M, Carroll R, Clayton E, Harris P, Kantacioglu M, Liu Y, Nyemba S, Vorobeychik Y, Wan Z, Malin B. Managing re-identification risks while providing access to the All of Us research program. Journal of the American Medical Informatics Association 2023;30(5):907 View
  259. Čermák J, Pietrucha S, Nawka A, Lipone P, Ruggieri A, Bonelli A, Comandini A, Cattaneo A. An Observational Pilot Study using a Digital Phenotyping Approach in Patients with Major Depressive Disorder Treated with Trazodone. Frontiers in Psychiatry 2023;14 View
  260. Langholm C, Byun A, Mullington J, Torous J. Monitoring sleep using smartphone data in a population of college students. npj Mental Health Research 2023;2(1) View
  261. Kim W, Kim H, Pack S, Lim J, Cho C, Lee H. Machine Learning–Based Prediction of Attention-Deficit/Hyperactivity Disorder and Sleep Problems With Wearable Data in Children. JAMA Network Open 2023;6(3):e233502 View
  262. Kalisperakis E, Karantinos T, Lazaridi M, Garyfalli V, Filntisis P, Zlatintsi A, Efthymiou N, Mantas A, Mantonakis L, Mougiakos T, Maglogiannis I, Tsanakas P, Maragos P, Smyrnis N. Smartwatch digital phenotypes predict positive and negative symptom variation in a longitudinal monitoring study of patients with psychotic disorders. Frontiers in Psychiatry 2023;14 View
  263. Walk D, Nicholson K, Locatelli E, Chan J, Macklin E, Ferment V, Manousakis G, Chase M, Connolly M, Dagostino D, Hall M, Ostrow J, Pothier L, Lieberman C, Gelevski D, Randall R, Sherman A, Steinhart E, Walker D, Walker J, Yu H, Wills A, Schwarzschild M, Beukenhorst A, Onnela J, Berry J, Cudkowicz M, Paganoni S. Randomized trial of inosine for urate elevation in amyotrophic lateral sclerosis. Muscle & Nerve 2023;67(5):378 View
  264. Duey A, Rana A, Siddi F, Hussein H, Onnela J, Smith T. Daily Pain Prediction Using Smartphone Speech Recordings of Patients With Spine Disease. Neurosurgery 2023;93(3):670 View
  265. Alfalahi H, Dias S, Khandoker A, Chaudhuri K, Hadjileontiadis L. A scoping review of neurodegenerative manifestations in explainable digital phenotyping. npj Parkinson's Disease 2023;9(1) View
  266. Hicks J, Boswell M, Althoff T, Crum A, Ku J, Landay J, Moya P, Murnane E, Snyder M, King A, Delp S. Leveraging Mobile Technology for Public Health Promotion: A Multidisciplinary Perspective. Annual Review of Public Health 2023;44(1):131 View
  267. Hidd V, López E, Centellegher S, Roberts S, Lepri B, Dunbar R. The stability of transient relationships. Scientific Reports 2023;13(1) View
  268. Yang F, Shah D, Tahk A, Vjorn O, Dietz S, Pe-Romashko K, Bailey E, Gicquelais R, Hwang J, Gustafson D, Westergaard R. mHealth and social mediation: Mobile support among stigmatized people living with HIV and substance use disorder. New Media & Society 2023;25(4):702 View
  269. Ren B, Barnett I. Combining Mixed Effects Hidden Markov Models with Latent Alternating Recurrent Event Processes to Model Diurnal Active–Rest Cycles. Biometrics 2023;79(4):3402 View
  270. Lam S, Xie Q, Goldberg S. Situating Meditation Apps Within the Ecosystem of Meditation Practice: Population-Based Survey Study. JMIR Mental Health 2023;10:e43565 View
  271. Shen F, Baum M, Martinez-Martin N, Miner A, Abraham M, Brownstein C, Cortez N, Evans B, Germine L, Glahn D, Grady C, Holm I, Hurley E, Kimble S, Lázaro-Muñoz G, Leary K, Marks M, Monette P, Onnela J, O’Rourke P, Rauch S, Shachar C, Sen S, Vahia I, Vassy J, Baker J, Bierer B, Silverman B. Returning Individual Research Results from Digital Phenotyping in Psychiatry. The American Journal of Bioethics 2024;24(2):69 View
  272. Mittermaier M, Venkatesh K, Kvedar J. Digital health technology in clinical trials. npj Digital Medicine 2023;6(1) View
  273. Bell I, Eisner E, Allan S, Cartner S, Torous J, Bucci S, Thomas N. Methodological Characteristics and Feasibility of Ecological Momentary Assessment Studies in Psychosis: a Systematic Review and Meta-Analysis. Schizophrenia Bulletin 2024;50(2):238 View
  274. Gupta P, Muneshwar K, Juganavar A, Shegekar T. Beyond the Asylum Walls: Tracing the Tapestry of Mental Health Interventions Across Eras and Cultures. Cureus 2023 View
  275. Jordan Y. Arpilleda . Predictive Maintenance Strategies for Electrical Equipment: A Literature Review. International Journal of Advanced Research in Science, Communication and Technology 2023:612 View
  276. Li A, Liu R, Liu X, Han J. Editorial: Improving the clinical value of digital phenotyping in mental health. Frontiers in Psychiatry 2023;14 View
  277. Spanakis P, Lorimer B, Newbronner E, Wadman R, Crosland S, Gilbody S, Johnston G, Walker L, Peckham E. Digital health literacy and digital engagement for people with severe mental ill health across the course of the COVID-19 pandemic in England. BMC Medical Informatics and Decision Making 2023;23(1) View
  278. Misiak B, Samochowiec J, Kowalski K, Gaebel W, Bassetti C, Chan A, Gorwood P, Papiol S, Dom G, Volpe U, Szulc A, Kurimay T, Kärkkäinen H, Decraene A, Wisse J, Fiorillo A, Falkai P. The future of diagnosis in clinical neurosciences: Comparing multiple sclerosis and schizophrenia. European Psychiatry 2023;66(1) View
  279. Oueidat K, Baird G, Bernstein M, Kim N, Kim D, Dubel G, Jay B, Maxwell A. A Pilot Study of Accelerometer-Based Biometric Data Collection among Patients Undergoing Locoregional Therapies. Journal of Vascular and Interventional Radiology 2023;34(8):1331 View
  280. Seiferth C, Vogel L, Aas B, Brandhorst I, Carlbring P, Conzelmann A, Esfandiari N, Finkbeiner M, Hollmann K, Lautenbacher H, Meinzinger E, Newbold A, Opitz A, Renner T, Sander L, Santangelo P, Schoedel R, Schuller B, Stachl C, Terhorst Y, Torous J, Wac K, Werner-Seidler A, Wolf S, Löchner J. How to e-mental health: a guideline for researchers and practitioners using digital technology in the context of mental health. Nature Mental Health 2023;1(8):542 View
  281. Kim Y, Shin B, Kim K. Digital Biomarkers for Alzheimer’s Disease. Journal of the Korean Neurological Association 2023;41(4):268 View
  282. Pizzoli S, Monzani D, Conti L, Ferraris G, Grasso R, Pravettoni G. Issues and opportunities of digital phenotyping: ecological momentary assessment and behavioral sensing in protecting the young from suicide. Frontiers in Psychology 2023;14 View
  283. Marder S, Umbricht D. Negative symptoms in schizophrenia: Newly emerging measurements, pathways, and treatments. Schizophrenia Research 2023;258:71 View
  284. Barrigon M, Romero-Medrano L, Moreno-Muñoz P, Porras-Segovia A, Lopez-Castroman J, Courtet P, Artés-Rodríguez A, Baca-Garcia E. One-Week Suicide Risk Prediction Using Real-Time Smartphone Monitoring: Prospective Cohort Study. Journal of Medical Internet Research 2023;25:e43719 View
  285. Patrickson B, Musker M, Thorpe D, van Kasteren Y, Bidargaddi N. In-Depth Co-Design of Mental Health Monitoring Technologies by People with Lived Experience. Future Internet 2023;15(6):191 View
  286. Faurholt-Jepsen M, Kyster N, Dyreholt M, Christensen E, Bondo-Kozuch P, Lerche A, Smidt B, Knorr U, Brøndmark K, Cardoso A, Mathiesen A, Sjælland R, Nørbak-Emig H, Sponsor L, Mardosas D, Sarauw-Nielsen I, Bukh J, Heller T, Frost M, Iversen N, Bardram J, Busk J, Vinberg M, Kessing L. The effect of smartphone-based monitoring and treatment including clinical feedback versus smartphone-based monitoring without clinical feedback in bipolar disorder: the SmartBipolar trial—a study protocol for a randomized controlled parallel-group trial. Trials 2023;24(1) View
  287. Carlezon W, Timm S. NPP-Digital Psychiatry and Neuroscience (DPN): a new journal for the era upon us. NPP—Digital Psychiatry and Neuroscience 2023;1(1) View
  288. Lenze E, Torous J, Arean P. Digital and precision clinical trials: innovations for testing mental health medications, devices, and psychosocial treatments. Neuropsychopharmacology 2024;49(1):205 View
  289. Marciano L, Vocaj E, Bekalu M, La Tona A, Rocchi G, Viswanath K. The Use of Mobile Assessments for Monitoring Mental Health in Youth: Umbrella Review. Journal of Medical Internet Research 2023;25:e45540 View
  290. Kelkar R, Currey D, Nagendra S, Mehta U, Sreeraj V, Torous J, Thirthalli J. Utility of Smartphone-Based Digital Phenotyping Biomarkers in Assessing Treatment Response to Transcranial Magnetic Stimulation in Depression: Proof-of-Concept Study. JMIR Formative Research 2023;7:e40197 View
  291. Muurling M, Pasmooij A, Koychev I, Roik D, Froelich L, Schwertner E, Religa D, Abdelnour C, Boada M, Almici M, Galluzzi S, Cardoso S, de Mendonça A, Owens A, Kuruppu S, Gjestsen M, Lazarou I, Gkioka M, Tsolaki M, Diaz A, Gove D, Visser P, Aarsland D, Lucivero F, de Boer C, Chu D. Ethical challenges of using remote monitoring technologies for clinical research: A case study of the role of local research ethics committees in the RADAR-AD study. PLOS ONE 2023;18(7):e0285807 View
  292. Lozano Hernández C, Medina-García R, de Hoyos-Alonso M, Garrido-Barral A, Minué Lorenzo C, Sanz-Cuesta T, Serrano J, del Rio Ponce A, Gómez-Gascón T, del Cura-González I. Improvement in Quality of Life With the Use of a Technological System Among Patients With Chronic Disease Followed Up in Primary Care (TeNDER Project): Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2023;12:e47331 View
  293. Marin-Dragu S, Forbes A, Sheikh S, Iyer R, Pereira dos Santos D, Alda M, Hajek T, Uher R, Wozney L, Paulovich F, Campbell L, Yakovenko I, Stewart S, Corkum P, Bagnell A, Orji R, Meier S. Associations of active and passive smartphone use with measures of youth mental health during the COVID-19 pandemic. Psychiatry Research 2023;326:115298 View
  294. Pyper E, McKeown S, Hartmann-Boyce J, Powell J. Digital Health Technology for Real-World Clinical Outcome Measurement Using Patient-Generated Data: Systematic Scoping Review. Journal of Medical Internet Research 2023;25:e46992 View
  295. Langholm C, Alon N, Perret S, Torous J. Risk scores in digital psychiatry: Expanding the reach of complex smartphone data by condensing it into simple results. Journal of Behavioral and Cognitive Therapy 2023;33(2):90 View
  296. Macrynikola N, Nguyen N, Lane E, Yen S, Torous J. The Digital Clinic: An Innovative Mental Health Care Delivery Model Utilizing Hybrid Synchronous and Asynchronous Treatment. NEJM Catalyst 2023;4(9) View
  297. Oudin A, Maatoug R, Bourla A, Ferreri F, Bonnot O, Millet B, Schoeller F, Mouchabac S, Adrien V. Digital Phenotyping: Data-Driven Psychiatry to Redefine Mental Health. Journal of Medical Internet Research 2023;25:e44502 View
  298. Mayo K, Basford M, Carroll R, Dillon M, Fullen H, Leung J, Master H, Rura S, Sulieman L, Kennedy N, Banks E, Bernick D, Gauchan A, Lichtenstein L, Mapes B, Marginean K, Nyemba S, Ramirez A, Rotundo C, Wolfe K, Xia W, Azuine R, Cronin R, Denny J, Kho A, Lunt C, Malin B, Natarajan K, Wilkins C, Xu H, Hripcsak G, Roden D, Philippakis A, Glazer D, Harris P. The All of Us Data and Research Center: Creating a Secure, Scalable, and Sustainable Ecosystem for Biomedical Research. Annual Review of Biomedical Data Science 2023;6(1):443 View
  299. Lane E, D’Arcey J, Kidd S, Onyeaka H, Alon N, Joshi D, Torous J. Digital Phenotyping in Adults with Schizophrenia: A Narrative Review. Current Psychiatry Reports 2023;25(11):699 View
  300. Valeri L, Rahimi-Eichi H, Liebenthal E, Rauch S, Schutt R, Öngür D, Dixon L, Onnela J, Baker J. Intensive longitudinal assessment of mobility, social activity and loneliness in individuals with severe mental illness during COVID-19. Schizophrenia 2023;9(1) View
  301. Ikäheimonen A, Triana A, Luong N, Ziaei A, Rantaharju J, Darst R, Aledavood T. Niimpy: A toolbox for behavioral data analysis. SoftwareX 2023;23:101472 View
  302. Jenciūtė G, Kasputytė G, Bunevičienė I, Korobeinikova E, Vaitiekus D, Inčiūra A, Jaruševičius L, Bunevičius R, Krikštolaitis R, Krilavičius T, Juozaitytė E, Bunevičius A. Digital Phenotyping for Monitoring and Disease Trajectory Prediction of Patients With Cancer: Protocol for a Prospective Observational Cohort Study. JMIR Research Protocols 2023;12:e49096 View
  303. Langholm C, Kowatsch T, Bucci S, Cipriani A, Torous J. Exploring the Potential of Apple SensorKit and Digital Phenotyping Data as New Digital Biomarkers for Mental Health Research. Digital Biomarkers 2023:104 View
  304. Pellegrini A, Huang E, Staples P, Hart K, Lorme J, Brown H, Perlis R, Onnela J. Estimating longitudinal depressive symptoms from smartphone data in a transdiagnostic cohort. Brain and Behavior 2022;12(2) View
  305. Jurek M, Calder C, Zigler C. Statistical inference for complete and incomplete mobility trajectories under the flight-pause model. Journal of the Royal Statistical Society Series C: Applied Statistics 2024;73(1):162 View
  306. Breitinger S, Gardea-Resendez M, Langholm C, Xiong A, Laivell J, Stoppel C, Harper L, Volety R, Walker A, D'Mello R, Byun A, Zandi P, Goes F, Frye M, Torous J. Digital Phenotyping for Mood Disorders: Methodology-Oriented Pilot Feasibility Study. Journal of Medical Internet Research 2023;25:e47006 View
  307. Chang S, Gray L, Alon N, Torous J. Patient and Clinician Experiences with Sharing Data Visualizations Integrated into Mental Health Treatment. Social Sciences 2023;12(12):648 View
  308. Nestor B, Chimoff J, Koike C, Weitzman E, Riley B, Uhl K, Kossowsky J. Adolescent and Parent Perspectives on Digital Phenotyping in Youths With Chronic Pain: Cross-Sectional Mixed Methods Survey Study. Journal of Medical Internet Research 2024;26:e47781 View
  309. Wu T, Sherman G, Giorgi S, Thanneeru P, Ungar L, Kamath P, Simonetto D, Curtis B, Shah V. Smartphone sensor data estimate alcohol craving in a cohort of patients with alcohol-associated liver disease and alcohol use disorder. Hepatology Communications 2023;7(12) View
  310. Grieb N, Schmierer L, Kim H, Strobel S, Schulz C, Meschke T, Kubasch A, Brioli A, Platzbecker U, Neumuth T, Merz M, Oeser A. A digital twin model for evidence-based clinical decision support in multiple myeloma treatment. Frontiers in Digital Health 2023;5 View
  311. Kalman J, Burkhardt G, Samochowiec J, Gebhard C, Dom G, John M, Kilic O, Kurimay T, Lien L, Schouler-Ocak M, Vidal D, Wiser J, Gaebel W, Volpe U, Falkai P. Digitalising mental health care: Practical recommendations from the European Psychiatric Association. European Psychiatry 2024;67(1) View
  312. Kasputytė G, Jenciūtė G, Šakinis N, Bunevičienė I, Korobeinikova E, Vaitiekus D, Inčiūra A, Jaruševičius L, Bunevičius R, Krikštolaitis R, Krilavičius T, Juozaitytė E, Bunevičius A. Smartphone sensors for evaluating COVID-19 fear in patients with cancer: a prospective study. Frontiers in Public Health 2024;11 View
  313. Higgins B, Jones L, Devraj K, Kilduff C, Moosajee M. ‘It would help people to help me’: Acceptability of digital phenotyping among young people with visual impairment and their families. DIGITAL HEALTH 2024;10 View
  314. London A, Karlawish J, Largent E, Hey S, McCarthy E. Algorithmic identification of persons with dementia for research recruitment: ethical considerations. Informatics for Health and Social Care 2024;49(1):28 View
  315. Langener A, Bringmann L, Kas M, Stulp G. Predicting Mood Based on the Social Context Measured Through the Experience Sampling Method, Digital Phenotyping, and Social Networks. Administration and Policy in Mental Health and Mental Health Services Research 2024;51(4):455 View
  316. Wadle L, Ebner-Priemer U, Foo J, Yamamoto Y, Streit F, Witt S, Frank J, Zillich L, Limberger M, Ablimit A, Schultz T, Gilles M, Rietschel M, Sirignano L. Speech Features as Predictors of Momentary Depression Severity in Patients With Depressive Disorder Undergoing Sleep Deprivation Therapy: Ambulatory Assessment Pilot Study. JMIR Mental Health 2024;11:e49222 View
  317. Ahn C, Lee J. Real-Time Monitoring of Non-Suicidal Self-Injury (NSSI): Protocol for Digital Phenotyping (Preprint). JMIR Research Protocols 2023 View
  318. Langener A, Stulp G, Jacobson N, Costanzo A, Jagesar R, Kas M, Bringmann L. It’s All About Timing: Exploring Different Temporal Resolutions for Analyzing Digital-Phenotyping Data. Advances in Methods and Practices in Psychological Science 2024;7(1) View
  319. Tani N, Fujihara H, Ishii K, Kamakura Y, Tsunemi M, Yamaguchi C, Eguchi H, Imamura K, Kanamori S, Kojimahara N, Ebara T. What digital health technology types are used in mental health prevention and intervention? Review of systematic reviews for systematization of technologies. Journal of Occupational Health 2024;66(1) View
  320. Fu M, Shen J, Gu C, Oliveira E, Shinchuk E, Isaac H, Isaac Z, Sarno D, Kurz J, Silbersweig D, Onnela J, Barron D. The Pain Intervention & Digital Research Program: an operational report on combining digital research with outpatient chronic disease management. Frontiers in Pain Research 2024;5 View
  321. Jung G, Park S, Ma E, Kim H, Lee U. Tutorial on Matching-based Causal Analysis of Human Behaviors Using Smartphone Sensor Data. ACM Computing Surveys 2024;56(9):1 View
  322. Kilshaw R, Boggins A, Everett O, Butner E, Leifker F, Baucom B. Benchmarking Mental Health Status Using Passive Sensor Data: Protocol for a Prospective Observational Study. JMIR Research Protocols 2024;13:e53857 View
  323. Bryan A, Heinz M, Salzhauer A, Price G, Tlachac M, Jacobson N. Behind the Screen: A Narrative Review on the Translational Capacity of Passive Sensing for Mental Health Assessment. Biomedical Materials & Devices 2024;2(2):778 View
  324. Perlmutter E, Dwyer B, Torous J. Social Media and Youth Mental Health: Assessing the Impact Through Current and Novel Digital Phenotyping Methods. Current Treatment Options in Psychiatry 2024;11(2):34 View
  325. Fowler C, Cai X, Baker J, Onnela J, Valeri L. Testing unit root non-stationarity in the presence of missing data in univariate time series of mobile health studies. Journal of the Royal Statistical Society Series C: Applied Statistics 2024;73(3):755 View
  326. Triana A, Saramäki J, Glerean E, Hayward N. Neuroscience meets behavior: A systematic literature review on magnetic resonance imaging of the brain combined with real‐world digital phenotyping. Human Brain Mapping 2024;45(4) View
  327. Knol L, Nagpal A, Leaning I, Idda E, Hussain F, Ning E, Eisenlohr-Moul T, Beckmann C, Marquand A, Leow A. Smartphone keyboard dynamics predict affect in suicidal ideation. npj Digital Medicine 2024;7(1) View
  328. Zapalac K, Miller M, Champagne F, Schnyer D, Baird B. The effects of physical activity on sleep architecture and mood in naturalistic environments. Scientific Reports 2024;14(1) View
  329. Keshmiri S, Tomonaga S, Mizutani H, Doya K. Respiratory modulation of the heart rate: A potential biomarker of cardiorespiratory function in human. Computers in Biology and Medicine 2024;173:108335 View
  330. Loftness B, Halvorson-Phelan J, O'Leary A, Bradshaw C, Prytherch S, Berman I, Torous J, Copeland W, Cheney N, McGinnis R, McGinnis E. The ChAMP App: A Scalable mHealth Technology for Detecting Digital Phenotypes of Early Childhood Mental Health. IEEE Journal of Biomedical and Health Informatics 2024;28(4):2304 View
  331. Li A, Xue C, Wu R, Wu W, Zhao J, Qiang Y. Unearthing Subtle Cognitive Variations: A Digital Screening Tool for Detecting and Monitoring Mild Cognitive Impairment. International Journal of Human–Computer Interaction 2024:1 View
  332. Beames J, Han J, Shvetcov A, Zheng W, Slade A, Ibrahim O, Rosenberg J, O’Dea B, Kasturi S, Hoon L, Whitton A, Christensen H, Newby J. Use of Smartphone Sensor Data in Detecting and Predicting Depression and Anxiety in Young People (12-25 Years): A Scoping Review. SSRN Electronic Journal 2024 View
  333. Halabi R, Mulsant B, Alda M, DeShaw A, Hintze A, Husain M, O'Donovan C, Patterson R, Ortiz A. Not missing at random: Missing data are associated with clinical status and trajectories in an electronic monitoring longitudinal study of bipolar disorder. Journal of Psychiatric Research 2024;174:326 View
  334. Vidal Bustamante C, Coombs III G, Rahimi-Eichi H, Mair P, Onnela J, Baker J, Buckner R. Precision Assessment of Real-World Associations Between Stress and Sleep Duration Using Actigraphy Data Collected Continuously for an Academic Year: Individual-Level Modeling Study. JMIR Formative Research 2024;8:e53441 View
  335. Martin J, Rueda A, Lee G, Tassone V, Park H, Ivanov M, Darnell B, Beavers L, Campbell D, Nguyen B, Torres A, Jung H, Lou W, Nazarov A, Ashbaugh A, Kapralos B, Litz B, Jetly R, Dubrowski A, Strudwick G, Krishnan S, Bhat V. Digital Interventions to Understand and Mitigate Stress Response: Protocol for Process and Content Evaluation of a Cohort Study. JMIR Research Protocols 2024;13:e54180 View
  336. Jyoti A, Yadav V, Pal A, Rahul M, Jha S. The Transformative Impact of AI and Machine Learning on Human Psychology. Recent Advances in Computer Science and Communications 2024;17(2) View
  337. Langer P, Altmüller S, Fleisch E, Barata F. CLAID: Closing the Loop on AI & Data Collection — A cross-platform transparent computing middleware framework for smart edge-cloud and digital biomarker applications. Future Generation Computer Systems 2024;159:505 View
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  339. Cohen A, Naslund J, Lane E, Bhan A, Rozatkar A, Mehta U, Vaidyam A, Byun A, Barnett I, Torous J. Digital phenotyping data and anomaly detection methods to assess changes in mood and anxiety symptoms across a transdiagnostic clinical sample. Acta Psychiatrica Scandinavica 2024 View
  340. Bilal A, Pagoni K, Iliadis S, Papadopoulos F, Skalkidou A, Öster C. Exploring user experiences of the Mom2B mHealth research app during the perinatal period: qualitative study (Preprint). JMIR Formative Research 2023 View
  341. Ciharova M, Amarti K, van Breda W, Peng X, Lorente-Català R, Funk B, Hoogendoorn M, Koutsouleris N, Fusar-Poli P, Karyotaki E, Cuijpers P, Riper H. Use of Machine-Learning Algorithms Based on Text, Audio and Video Data in the Prediction of Anxiety and Post-Traumatic Stress in General and Clinical Populations: A Systematic Review. Biological Psychiatry 2024 View
  342. van Heerden A, Poudyal A, Hagaman A, Maharjan S, Byanjankar P, Bemme D, Thapa A, Kohrt B. Integration of passive sensing technology to enhance delivery of psychological interventions for mothers with depression: the StandStrong study. Scientific Reports 2024;14(1) View
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  344. Nawabi N, Emedom-Nnamdi P, Kilgallon J, Gerstl J, Cote D, Jha R, Ellen J, Maniar K, Hong C, Dawood H, Onnela J, Smith T. Assessing Mobility in Patients With Glioblastoma Using Digital Phenotyping—Piloting the Digital Assessment in Neuro-Oncology. Neurosurgery 2024 View

Books/Policy Documents

  1. Baños R, Vara M, Mira A, García-Palacios A, Botella C. Comprehensive Clinical Psychology. View
  2. Teles A, Barros F, Rodrigues I, Barbosa A, Silva F, Coutinho L, Teixeira S. IoT and ICT for Healthcare Applications. View
  3. Zeng Y, Fraccaro P, Peek N. Artificial Intelligence in Medicine. View
  4. Bell I, Lim M, Thomas N. A Clinical Introduction to Psychosis. View
  5. Senders J, Maher N, Hulsbergen A, Lamba N, Bredenoord A, Broekman M. Ethics of Innovation in Neurosurgery. View
  6. Ebert D, Harrer M, Apolinário-Hagen J, Baumeister H. Frontiers in Psychiatry. View
  7. Holt-Lunstad J, Lefler M. Encyclopedia of Gerontology and Population Aging. View
  8. Stanimirovic A. Chronic Stress and Its Effect on Brain Structure and Connectivity. View
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