Artificial Intelligence in Behavioral and Mental Health Care by David D. Luxton

By David D. Luxton

Artificial Intelligence in Behavioral and psychological future health Care summarizes contemporary advances in man made intelligence because it applies to psychological healthiness medical perform. each one bankruptcy offers a technical description of the improvement, overview of program in scientific perform, and empirical facts on medical efficacy.

In addition, each one bankruptcy encompasses a dialogue of useful concerns in medical settings, moral issues, and obstacles of use. The publication encompasses AI dependent advances in decision-making, in review and remedy, in delivering schooling to consumers, robotic assisted job crowning glory, and using AI for study and knowledge gathering.

This publication may be of use to psychological well-being practitioners attracted to studying approximately, or incorporating AI advances into their perform and for researchers drawn to a entire evaluation of those advances in a single source.

  • Summarizes AI advances to be used in psychological future health practice
  • Includes advances in AI established decision-making and consultation
  • Describes AI purposes for overview and treatment
  • Details AI advances in robots for medical settings
  • Provides empirical info on scientific efficacy
  • Explores useful problems with use in medical settings

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Extra resources for Artificial Intelligence in Behavioral and Mental Health Care

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Some patients may prefer encounters with intelligent machines, such as virtual humans rather than human therapists for this reason, and care seekers may experience less anxiety when discussing intimate, private issues with a machine than they would with another person. , 2013; Lucas, Gratch, King, & Morency, 2014). , 2010). Improved Self-Care and Access to Care AI technologies can also greatly improve self-care options for persons seeking self-treatment or health-related information. , 2011; SAMSHA, 2013, 2014).

The system achieved comparable performance as human clinicians across a variety of mental disorders (Spitzer & Endicott, 1974), though it was never put to use in real-world practice. Subsequent years saw the inclusion of expert systems into many CDSS. , 2007). However, we should be careful to point out that not all CDSS tools are necessarily expert systems or AI À many are simply hard-coded rules that trigger alerts or messages, containing neither probabilistic rules nor inferential reasoning. Nonetheless, some CDSS tools do embody principles of expert systems.

Simon, H. A. (1956). The logic theory machine: A complex information processing system. Santa Monica, CA: The Rand Corporation. , & Mitchell, P. (2002). The potential of virtual reality in social skills training for people with autistic spectrum disorders. Journal of Intellectual Disability Research: JIDR, 46(Pt 5), 430À443. Picard, R. (1997). Affective computing. Cambridge, MA: MIT Press. Powers, M. , & Emmelkamp, P. M. (2008). Virtual reality exposure therapy for anxiety disorders: A meta-analysis.

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