Using Psychological Artificial Intelligence (Tess) to Relieve Symptoms of Depression and Anxiety: Randomized Controlled Trial

Fulmer, Russell; Joerin, Angela; Gentile, Breanna; Lakerink, Lysanne; Rauws, Michiel

doi:10.2196/mental.9782

Cited by 347 publications

(455 citation statements)

References 37 publications

(43 reference statements)

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“…The characteristics of the included articles are summarized in Table 2. Of the 14 studies, six used a quasi-experimental design with one group pre-/post-test or post-test only design [48][49][50][51][52][53], two used retrospective exploratory design [54,55], two used randomize control trial (RCT) [56,57], one used cluster RCT [58,59], one used mixed-method design [14], one used qualitative design [60], and one used cross-sectional design [61]. Most of the studies were conducted in the United States (n= 7), followed by two in Australia, and one each in South Korea, Taiwan, Israel, Norway, and Spain.…”

Section: Characteristics Of Included Studiesmentioning

confidence: 99%

Section: Robots With Aimentioning

confidence: 99%

“…The remaining two studies evaluated humanoid robots supporting psychotherapy and biofeedback [53,57]. Fulmer et al [57] applied a psychological AI chatbot to deliver individualized interventions rooted in psychosocial modalities for college students to reduce symptoms of depression and anxiety. Their findings suggested that it is feasible and effective to use the chatbot to deliver emotional support using psychotherapy approaches for reducing depressive symptoms among college students [57].…”

Section: Robots With Aimentioning

confidence: 99%

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Informatics and Artificial Intelligence Approaches that Promote Use of Integrative Health Therapies in Nursing Practice: A Scoping Review

Lu¹,

Delaney²,

Tracy³

et al. 2020

OBM ICM

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Integrative health (IH) therapies are increasingly used to manage health conditions, but barriers hindering nurses from offering IH therapies persist. Informatics and artificial intelligence (AI) approaches have potential to promote nurses' professional use of IH therapies. The purposes of this review are to (1) describe the state of the science of informatics and AI approaches promoting nurses' use of IH therapies and (2) identify gaps in literature for future investigations. This systematic scoping review followed the systematic review guideline published by the Centre for Review and Dissemination. Five databases were used to retrieve relevant literature published between 2008 and 2018. Sixteen articles describing fourteen studies met predefined eligibility criteria and were reviewed. A descriptive numerical summary method and thematical analysis were used to synthesize the included literature. A fourfold typology emerged to label the informatics and AI approaches, including robots with AI, computer-and mobile-based applications, electronic communication using an information system, and information standards and standardized terminologies. The reviewed studies suggested that informatics and AI approaches could enhance the safety, accessibility, and communication of nursing IH therapies, as well as enable nursing IH data for IH-related knowledge discovery. Several gaps for future research were identified. There is a need of theory-informed research with more rigorous design and a larger scale to provide robust evidence for implementing existing applications and future innovations. Literature suggests progress toward use of informatics and AI approaches to support nurses' professional use of IH therapies. Further high-quality and theory-informed research is needed regarding the applications used in conventional healthcare in supporting nurses' use of IH therapies.

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Section: Characteristics Of Included Studiesmentioning

confidence: 99%

Section: Robots With Aimentioning

confidence: 99%

Section: Robots With Aimentioning

confidence: 99%

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Informatics and Artificial Intelligence Approaches that Promote Use of Integrative Health Therapies in Nursing Practice: A Scoping Review

Lu¹,

Delaney²,

Tracy³

et al. 2020

OBM ICM

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“…Conversational agents provide conversational experiences to end users for various practical applications, including customer service [69], education [13], and health support [22]. They are also powered by a variety of models, e.g., ASR, text analysis, TTS, and/or speaker analysis.…”

Section: Conversational Agentsmentioning

confidence: 99%

Toward fairness in AI for people with disabilities SBG@a research roadmap

Guo

Kamar

Vaughan

et al. 2020

SIGACCESS Access. Comput.

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AI technologies have the potential to dramatically impact the lives of people with disabilities (PWD). Indeed, improving the lives of PWD is a motivator for many state-of-the-art AI systems, such as automated speech recognition tools that can caption videos for people who are deaf and hard of hearing, or language prediction algorithms that can augment communication for people with speech or cognitive disabilities. However, widely deployed AI systems may not work properly for PWD, or worse, may actively discriminate against them. These considerations regarding fairness in AI for PWD have thus far received little attention. In this position paper, we identify potential areas of concern regarding how several AI technology categories may impact particular disability constituencies if care is not taken in their design, development, and testing. We intend for this risk assessment of how various classes of AI might interact with various classes of disability to provide a roadmap for future research that is needed to gather data, test these hypotheses, and build more inclusive algorithms.

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“…Integrating CURATE.AI-based dynamic optimization with learning/training regimens could have broad impact toward enhancing the spectrum of digital therapeutics that are being explored for depression and anxiety, [60] Parkinson's disease, [61] dementia, [62] and many others. Integrating CURATE.AI-based dynamic optimization with learning/training regimens could have broad impact toward enhancing the spectrum of digital therapeutics that are being explored for depression and anxiety, [60] Parkinson's disease, [61] dementia, [62] and many others.…”

Section: Introductionmentioning

confidence: 99%

Harnessing CURATE.AI as a Digital Therapeutics Platform by Identifying N‐of‐1 Learning Trajectory Profiles

Kee

Weiyan

Blasiak

et al. 2019

Advanced Therapeutics

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Conventional therapeutic interventions, which range from drug treatment to learning and training regimens, are often given at a fixed dose/intensity. This often leads to sub-optimal responses, or even none at all. Similarly, fixed intensity training can lead to plateaus in learning trajectories and training outcomes. This barrier will impact the field of digital therapeutics, where drug-based therapies may be complemented or replaced by learning and training platforms. A potential solution is to optimize training by identifying N-of-1 (single subject) training profiles that can then enhance learning trajectories through individualized training regimens. In this study, CURATE.AI, a mechanism-independent and indication-agnostic artificial intelligence (AI) platform, is used to identify N-of-1 learning trajectory profiles for healthy volunteers trained on the Multi-Attribute Task Battery (MATB), a flight deck simulator developed by the National Aeronautics and Space Administration and United States Air Force. By leveraging modulated MATB training intensity in a prospective study, CURATE.AI successfully develops N-of-1 learning trajectory profiles that may actionably mediate training optimization on the single-subject level, by dynamically identifying training inputs that drive the best possible scoring outcome. Therefore, CURATE.AI-guided training may serve as a powerful optimization platform for digital therapy, student learning, cognitive decline prevention, and other indications. and non-pharmacologic, often involve fixed or static magnitudes of treatment. [18][19][20][21][22][23][24][25][26] These treatments may be represented by dosage in the pharmacologic setting, or training intensities in learning-related domains. While fixed-dose drug treatment and fixed-intensity training are often used as a standard of care,

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Using Psychological Artificial Intelligence (Tess) to Relieve Symptoms of Depression and Anxiety: Randomized Controlled Trial

Cited by 347 publications

References 37 publications

Informatics and Artificial Intelligence Approaches that Promote Use of Integrative Health Therapies in Nursing Practice: A Scoping Review

Informatics and Artificial Intelligence Approaches that Promote Use of Integrative Health Therapies in Nursing Practice: A Scoping Review

Toward fairness in AI for people with disabilities SBG@a research roadmap

Harnessing CURATE.AI as a Digital Therapeutics Platform by Identifying N‐of‐1 Learning Trajectory Profiles

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