{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,7]],"date-time":"2026-11-07T04:17:00Z","timestamp":1794025020740,"version":"4.8.0"},"reference-count":70,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2024,5,7]],"date-time":"2024-05-07T00:00:00Z","timestamp":1715040000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["bpspsychub.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["British J Clinic Psychol"],"published-print":{"date-parts":[[2025,3]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>\n                      Post\u2010traumatic stress disorder (PTSD) poses a global public health challenge. Evidence\u2010based psychotherapies (EBPs) for PTSD reduce symptoms and improve functioning (Forbes et\u00a0al., Guilford Press, 2020, 3). However, a number of barriers to access and engagement with these interventions prevail. As a result, the use of EBPs in community settings remains disappointingly low (Charney et\u00a0al.,\n                      <jats:italic>Psychological Trauma: Theory, Research, Practice, and Policy<\/jats:italic>\n                      , 11, 2019, 793; Richards et\u00a0al.,\n                      <jats:italic>Community Mental Health Journal<\/jats:italic>\n                      , 53, 2017, 215), and not all patients who receive an EBP for PTSD benefit optimally (Asmundson et\u00a0al.,\n                      <jats:italic>Cognitive Behaviour Therapy<\/jats:italic>\n                      , 48, 2019, 1). Advancements in artificial intelligence (AI) have introduced new possibilities for increasinfg access to and quality of mental health interventions.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>The present paper reviews key barriers to accessing and engaging in EBPs for PTSD, discusses current applications of AI in PTSD treatment and provides recommendations for future AI integrations aimed at reducing barriers to access and engagement.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Discussion<\/jats:title>\n                    <jats:p>We propose that AI may be utilized to (1) assess treatment fidelity; (2) elucidate novel predictors of treatment dropout and outcomes; and (3) facilitate patient engagement with the tasks of therapy, including therapy practice. Potential avenues for technological advancements are also considered.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/bjc.12468","type":"journal-article","created":{"date-parts":[[2024,5,8]],"date-time":"2024-05-08T02:35:54Z","timestamp":1715135754000},"page":"125-136","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Using machine learning to increase access to and engagement with trauma\u2010focused interventions for posttraumatic stress disorder"],"prefix":"10.1111","volume":"64","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6322-498X","authenticated-orcid":false,"given":"Ariella P.","family":"Lenton\u2010Brym","sequence":"first","affiliation":[{"name":"Nellie Health"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-6867-2173","authenticated-orcid":false,"given":"Alexis","family":"Collins","sequence":"additional","affiliation":[{"name":"Nellie Health"},{"name":"Toronto Metropolitan University  Toronto Ontario Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0327-2728","authenticated-orcid":false,"given":"Jeanine","family":"Lane","sequence":"additional","affiliation":[{"name":"Toronto Metropolitan University  Toronto Ontario Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4075-4072","authenticated-orcid":false,"given":"Carlos","family":"Busso","sequence":"additional","affiliation":[{"name":"University of Texas at Dallas  Richardson Texas USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6835-8178","authenticated-orcid":false,"given":"Jessica","family":"Ouyang","sequence":"additional","affiliation":[{"name":"University of Texas at Dallas  Richardson Texas USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1347-1827","authenticated-orcid":false,"given":"Skye","family":"Fitzpatrick","sequence":"additional","affiliation":[{"name":"Nellie Health"},{"name":"York University  Toronto Ontario Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3950-5861","authenticated-orcid":false,"given":"Janice R.","family":"Kuo","sequence":"additional","affiliation":[{"name":"Nellie Health"},{"name":"Palo Alto University  Palo Alto California USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6179-0788","authenticated-orcid":false,"given":"Candice M.","family":"Monson","sequence":"additional","affiliation":[{"name":"Nellie Health"},{"name":"Toronto Metropolitan University  Toronto Ontario Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2024,5,7]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1080\/10503307.2020.1808729"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.2196\/17828"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.5093\/pi2021a4"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.beth.2019.11.003"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1080\/16506073.2018.1522371"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1111\/bjc.12021"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3093233"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.1037\/tra0000427"},{"key":"e_1_2_8_10_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.adg8538"},{"key":"e_1_2_8_11_1","doi-asserted-by":"publisher","DOI":"10.1177\/20552076231183542"},{"key":"e_1_2_8_12_1","doi-asserted-by":"publisher","DOI":"10.1177\/0145445518792251"},{"key":"e_1_2_8_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.beth.2016.02.013"},{"key":"e_1_2_8_14_1","doi-asserted-by":"publisher","DOI":"10.1037\/ccp0000105"},{"key":"e_1_2_8_15_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12913\u2010022\u201008519\u20109"},{"key":"e_1_2_8_16_1","doi-asserted-by":"publisher","DOI":"10.1353\/hpu.2021.0065"},{"key":"e_1_2_8_17_1","doi-asserted-by":"publisher","DOI":"10.1093\/jamia\/ocac156"},{"key":"e_1_2_8_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.brat.2022.104200"},{"key":"e_1_2_8_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.beth.2016.02.009"},{"key":"e_1_2_8_20_1","unstructured":"Faverio M. &Tyson A.(2023 November 21).What the data says about Americans' views of artificial intelligence. 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