Clinical prediction models in psychiatry: a systematic review of two decades of progress and challenges

AJ Meehan, SJ Lewis, S Fazel, P Fusar-Poli… - Molecular …, 2022 - nature.com
Recent years have seen the rapid proliferation of clinical prediction models aiming to
support risk stratification and individualized care within psychiatry. Despite growing interest …

Measurement-based and data-informed psychological therapy

W Lutz, B Schwartz, J Delgadillo - Annual Review of Clinical …, 2022 - annualreviews.org
Outcome measurement in the field of psychotherapy has developed considerably in the last
decade. This review discusses key issues related to outcome measurement, modeling, and …

The promise of machine learning in predicting treatment outcomes in psychiatry

AM Chekroud, J Bondar, J Delgadillo… - World …, 2021 - Wiley Online Library
For many years, psychiatrists have tried to understand factors involved in response to
medications or psychotherapies, in order to personalize their treatment choices. There is …

The efficacy and effectiveness of psychological therapies

M Barkham, MJ Lambert - Bergin and Garfield's handbook of …, 2021 - books.google.com
This chapter sets out the current status of the evidence-base for the efficacy and
effectiveness of psychological therapies. First, methods for eliciting and synthesizing …

Stratified care vs stepped care for depression: A cluster randomized clinical trial

J Delgadillo, S Ali, K Fleck, C Agnew… - JAMA …, 2022 - jamanetwork.com
Importance Depression is a major cause of disability worldwide. Although empirically
supported treatments are available, there is scarce evidence on how to effectively …

Treatment selection in depression

ZD Cohen, RJ DeRubeis - Annual Review of Clinical …, 2018 - annualreviews.org
Mental health researchers and clinicians have long sought answers to the question “What
works for whom?” The goal of precision medicine is to provide evidence-based answers to …

Designing human-centered AI for mental health: Developing clinically relevant applications for online CBT treatment

A Thieme, M Hanratty, M Lyons, J Palacios… - ACM Transactions on …, 2023 - dl.acm.org
Recent advances in AI and machine learning (ML) promise significant transformations in the
future delivery of healthcare. Despite a surge in research and development, few works have …

Prospective evaluation of a clinical decision support system in psychological therapy.

W Lutz, AK Deisenhofer, J Rubel… - Journal of consulting …, 2022 - psycnet.apa.org
Objective: Thus far, most applications in precision mental health have not been evaluated
prospectively. This article presents the results of a prospective randomized-controlled trial …

Measuring, predicting, and tracking change in psychotherapy

W Lutz, K de Jong, JA Rubel… - Bergin and Garfield's …, 2021 - books.google.com
This chapter addresses fundamental issues of change in psychotherapy: how to measure,
monitor, predict change, and provide feedback on treatment outcome. The chapter starts …

Central symptoms predict posttreatment outcomes and clinical impairment in anorexia nervosa: A network analysis

H Elliott, PJ Jones, U Schmidt - Clinical Psychological …, 2020 - journals.sagepub.com
Network analysis can be used to identify central symptoms of eating disorders such as
anorexia nervosa (AN), but the validity of this approach has been questioned. Using network …