BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Fleck DE, Ernest N, Adler CM, Cohen K, Eliassen JC, Norris M, Komoroski RA, Chu WJ, Welge JA, Blom TJ, DelBello MP, Strakowski SM. Prediction of lithium response in first-episode mania using the LITHium Intelligent Agent (LITHIA): Pilot data and proof-of-concept. Bipolar Disord 2017;19:259-72. [PMID: 28574156 DOI: 10.1111/bdi.12507] [Cited by in Crossref: 22] [Cited by in F6Publishing: 17] [Article Influence: 4.4] [Reference Citation Analysis]
Number Citing Articles
1 Kessing LV, Gerds TA, Knudsen NN, Jørgensen LF, Kristiansen SM, Voutchkova D, Ernstsen V, Schullehner J, Hansen B, Andersen PK, Ersbøll AK. Lithium in drinking water and the incidence of bipolar disorder: A nation-wide population-based study. Bipolar Disord 2017;19:563-7. [PMID: 28714553 DOI: 10.1111/bdi.12524] [Cited by in Crossref: 13] [Cited by in F6Publishing: 9] [Article Influence: 2.6] [Reference Citation Analysis]
2 Lei D, Qin K, Li W, Pinaya WHL, Tallman MJ, Patino LR, Strawn JR, Fleck D, Klein CC, Lui S, Gong Q, Adler CM, Mechelli A, Sweeney JA, DelBello MP. Brain morphometric features predict medication response in youth with bipolar disorder: a prospective randomized clinical trial. Psychol Med 2022;:1-11. [PMID: 35392995 DOI: 10.1017/S0033291722000757] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Manchia M, Pisanu C, Squassina A, Carpiniello B. Challenges and Future Prospects of Precision Medicine in Psychiatry. Pharmgenomics Pers Med 2020;13:127-40. [PMID: 32425581 DOI: 10.2147/PGPM.S198225] [Cited by in Crossref: 9] [Cited by in F6Publishing: 4] [Article Influence: 4.5] [Reference Citation Analysis]
4 Lozupone M, La Montagna M, D'Urso F, Daniele A, Greco A, Seripa D, Logroscino G, Bellomo A, Panza F. The Role of Biomarkers in Psychiatry. Adv Exp Med Biol 2019;1118:135-62. [PMID: 30747421 DOI: 10.1007/978-3-030-05542-4_7] [Cited by in Crossref: 13] [Cited by in F6Publishing: 8] [Article Influence: 4.3] [Reference Citation Analysis]
5 Louie AK, Balon R, Beresin EV, Coverdale JH, Brenner AM, Guerrero APS, Roberts LW. Teaching to See Behaviors-Using Machine Learning? Acad Psychiatry 2017;41:625-30. [PMID: 28812294 DOI: 10.1007/s40596-017-0786-1] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 0.6] [Reference Citation Analysis]
6 Janssen RJ, Mourão-miranda J, Schnack HG. Making Individual Prognoses in Psychiatry Using Neuroimaging and Machine Learning. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 2018;3:798-808. [DOI: 10.1016/j.bpsc.2018.04.004] [Cited by in Crossref: 31] [Cited by in F6Publishing: 30] [Article Influence: 7.8] [Reference Citation Analysis]
7 Larentzakis A, Lygeros N. Artificial intelligence (AI) in medicine as a strategic valuable tool. Pan Afr Med J 2021;38:184. [PMID: 33995790 DOI: 10.11604/pamj.2021.38.184.28197] [Reference Citation Analysis]
8 Fleck DE, Ernest N, Asch R, Adler CM, Cohen K, Yuan W, Kunkel B, Krikorian R, Wade SL, Babcock L. Predicting Post-Concussion Symptom Recovery in Adolescents Using a Novel Artificial Intelligence. J Neurotrauma 2021;38:830-6. [PMID: 33115345 DOI: 10.1089/neu.2020.7018] [Reference Citation Analysis]
9 Aydin O, Unal Aydin P, Arslan A. Development of Neuroimaging-Based Biomarkers in Psychiatry. Adv Exp Med Biol 2019;1192:159-95. [PMID: 31705495 DOI: 10.1007/978-981-32-9721-0_9] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.3] [Reference Citation Analysis]
10 Claude LA, Houenou J, Duchesnay E, Favre P. Will machine learning applied to neuroimaging in bipolar disorder help the clinician? A critical review and methodological suggestions. Bipolar Disord 2020;22:334-55. [PMID: 32108409 DOI: 10.1111/bdi.12895] [Cited by in Crossref: 8] [Cited by in F6Publishing: 5] [Article Influence: 4.0] [Reference Citation Analysis]
11 Perugi G, De Rossi P, Fagiolini A, Girardi P, Maina G, Sani G, Serretti A. Personalized and precision medicine as informants for treatment management of bipolar disorder. Int Clin Psychopharmacol 2019;34:189-205. [PMID: 30932919 DOI: 10.1097/YIC.0000000000000260] [Cited by in Crossref: 10] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
12 Stern S, Linker S, Vadodaria KC, Marchetto MC, Gage FH. Prediction of response to drug therapy in psychiatric disorders. Open Biol. 2018;8. [PMID: 29794033 DOI: 10.1098/rsob.180031] [Cited by in Crossref: 28] [Cited by in F6Publishing: 22] [Article Influence: 9.3] [Reference Citation Analysis]
13 Ivleva EI, Turkozer HB, Sweeney JA. Imaging-Based Subtyping for Psychiatric Syndromes. Neuroimaging Clin N Am 2020;30:35-44. [PMID: 31759570 DOI: 10.1016/j.nic.2019.09.005] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 1.3] [Reference Citation Analysis]
14 Goetz C, Bavaresco R, Kunst R, Barbosa J. Industrial intelligence in the care of workers’ mental health: A review of status and challenges. International Journal of Industrial Ergonomics 2022;87:103234. [DOI: 10.1016/j.ergon.2021.103234] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
15 Zhang W, Xiao Y, Sun H, Patino LR, Tallman MJ, Weber WA, Adler CM, Klein C, Strawn JR, Nery FG, Gong Q, Sweeney JA, Lui S, DelBello MP. Discrete patterns of cortical thickness in youth with bipolar disorder differentially predict treatment response to quetiapine but not lithium. Neuropsychopharmacology 2018;43:2256-63. [PMID: 29946107 DOI: 10.1038/s41386-018-0120-y] [Cited by in Crossref: 12] [Cited by in F6Publishing: 9] [Article Influence: 3.0] [Reference Citation Analysis]
16 Passos IC, Ballester PL, Barros RC, Librenza-Garcia D, Mwangi B, Birmaher B, Brietzke E, Hajek T, Lopez Jaramillo C, Mansur RB, Alda M, Haarman BCM, Isometsa E, Lam RW, McIntyre RS, Minuzzi L, Kessing LV, Yatham LN, Duffy A, Kapczinski F. Machine learning and big data analytics in bipolar disorder: A position paper from the International Society for Bipolar Disorders Big Data Task Force. Bipolar Disord 2019;21:582-94. [PMID: 31465619 DOI: 10.1111/bdi.12828] [Cited by in Crossref: 27] [Cited by in F6Publishing: 20] [Article Influence: 9.0] [Reference Citation Analysis]
17 Loh E. Medicine and the rise of the robots: a qualitative review of recent advances of artificial intelligence in health. leader 2018;2:59-63. [DOI: 10.1136/leader-2018-000071] [Cited by in Crossref: 39] [Cited by in F6Publishing: 14] [Article Influence: 9.8] [Reference Citation Analysis]
18 Kaul V, Enslin S, Gross SA. History of artificial intelligence in medicine. Gastrointest Endosc. 2020;92:807-812. [PMID: 32565184 DOI: 10.1016/j.gie.2020.06.040] [Cited by in Crossref: 14] [Cited by in F6Publishing: 12] [Article Influence: 7.0] [Reference Citation Analysis]
19 Lydiard J, Nemeroff CB. Biomarker-Guided Tailored Therapy. In: Kim Y, editor. Frontiers in Psychiatry. Singapore: Springer; 2019. pp. 199-224. [DOI: 10.1007/978-981-32-9721-0_10] [Cited by in Crossref: 7] [Cited by in F6Publishing: 3] [Article Influence: 2.3] [Reference Citation Analysis]
20 Thomas SA, Christensen RE, Schettini E, Saletin JM, Ruggieri AL, MacPherson HA, Kim KL, Dickstein DP. Preliminary analysis of resting state functional connectivity in young adults with subtypes of bipolar disorder. J Affect Disord 2019;246:716-26. [PMID: 30616161 DOI: 10.1016/j.jad.2018.12.068] [Cited by in Crossref: 8] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]