AI Implementation in Mental Healthcare

Early detection of skin cancer helps to bolster the survival rate to over 95%. To accomplish this, artificial intelligence-based methods are being developed to automate the analysis of images to facilitate early diagnosis of melanoma. In this episode we will explore how AI-powered decision support systems can be used in the timely diagnosis of skin cancer.

References:

  1. Nilsen P, Svedberg P, Nygren J, Frideros M, Johansson J, Schueller S. Accelerating the impact of artificial intelligence in mental healthcare through implementation science. Implement Res Pract. 2022; Available at: https://journals.sagepub.com/doi/10.1177/26334895221112033
  2. Abd-alrazaq A, Alhuwail D, Schneider J, Toro C, Ahmed A, Alzubaidi M, et al. The performance of artificial intelligence-driven technologies in diagnosing mental disorders: an umbrella review. Npj Digit. Med. 2022;5,87. Available at: https://viatris-coe.s3.eu-central-1.amazonaws.com/general/gr/general/PSY_2_The_performance_of_artificial_intelligence-driven_technologies_in_diagnosing_mental_disorders_an_umbrella_review.pdf
  3. Zhou S, Zhao J, Zhang L. Application of Artificial Intelligence on Psychological Interventions and Diagnosis: An Overview. Front Psychiatry. 2022;13:811665. Available at: https://www.frontiersin.org/articles/10.3389/fpsyt.2022.811665/full
  4. McCradden M, Hui K, Buchman DZ. Evidence, ethics and the promise of artificial intelligence in psychiatry. J Med Ethics. 2022;108447. Available at: https://jme.bmj.com/content/early/2022/12/28/jme-2022-108447
  5. Chandler C, Foltz PW, Elvevåg B. Improving the Applicability of AI for Psychiatric Applications through Human-in-the-loop Methodologies. Schizophr Bull. 2022;48(5):949-957. Available at: https://academic.oup.com/schizophreniabulletin/article/48/5/949/6593215?login

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