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Correction: Using Conversational AI to Facilitate Mental Health Assessments and Improve Clinical Efficiency Within Psychotherapy Services: Real-World Observational Study

Correction: Using Conversational AI to Facilitate Mental Health Assessments and Improve Clinical Efficiency Within Psychotherapy Services: Real-World Observational Study

One author, Sruthi Viswanathan, was inadvertently omitted from the authorship list in the original publication of the paper. Sruthi Viswanathan has now been added to the authorship of the published paper as the fifth author, with the degrees "BTech, MRes" and the following affiliation: Limbic Limited, London, United Kingdom In accordance, the Conflict of Interest statement has also been updated to include this author.

Max Rollwage, Johanna Habicht, Keno Juechems, Ben Carrington, Sruthi Viswanathan, Mona Stylianou, Tobias U Hauser, Ross Harper

JMIR AI 2024;3:e57869

2B-Alert Web 2.0, an Open-Access Tool for Predicting Alertness and Optimizing the Benefits of Caffeine: Utility Study

2B-Alert Web 2.0, an Open-Access Tool for Predicting Alertness and Optimizing the Benefits of Caffeine: Utility Study

For example, in one of the validation analyses, Ramakrishnan et al [7] showed that approximately 87% of the model predictions are within 2 SEs of the measured mean data, meaning that, 87% of the time, the model group-average predictions are statistically indistinguishable from the experimental data.

Jaques Reifman, Kamal Kumar, Luke Hartman, Andrew Frock, Tracy J Doty, Thomas J Balkin, Sridhar Ramakrishnan, Francisco G Vital-Lopez

J Med Internet Res 2022;24(1):e29595