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The speaker’s viewpoint on events: from tense to stance
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In: Beyond aspectual semantics: Explorations in the pragmatic and cognitive functions of aspect ; https://halshs.archives-ouvertes.fr/halshs-03371532 ; Astrid De Wit, Frank Brisard, Carol Madden-Lombardi, Michael Meeuwis, Adeline Patard (eds). Beyond aspectual semantics: Explorations in the pragmatic and cognitive functions of aspect, Oxford University Press, In press ; https://global.oup.com/?cc=fr (2022)
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The speaker’s viewpoint on events: from tense to stance
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In: Beyond aspectual semantics: Explorations in the pragmatic and cognitive functions of aspect ; https://halshs.archives-ouvertes.fr/halshs-03371532 ; Astrid De Wit, Frank Brisard, Carol Madden-Lombardi, Michael Meeuwis, Adeline Patard (eds). Beyond aspectual semantics: Explorations in the pragmatic and cognitive functions of aspect, Oxford University Press, In press ; https://global.oup.com/?cc=fr (2022)
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Viewing angle in novice L2 lexical learning in British Sign Language (BSL) ...
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Psychiatry on Twitter: Content Analysis of the Use of Psychiatric Terms in French
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In: JMIR Form Res (2022)
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A Free, Open-Source, Offline Digital Health System for Refugee Care
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In: JMIR Med Inform (2022)
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Operationalizing and Implementing Pretrained, Large Artificial Intelligence Linguistic Models in the US Health Care System: Outlook of Generative Pretrained Transformer 3 (GPT-3) as a Service Model
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In: JMIR Med Inform (2022)
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The speaker’s viewpoint on events: from tense to stance
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In: https://halshs.archives-ouvertes.fr/halshs-03371532 ; 2021 (2021)
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Automatic Representative View Selection of a 3D Cultural Relic Using Depth Variation Entropy and Depth Distribution Entropy
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In: Entropy; Volume 23; Issue 12; Pages: 1561 (2021)
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The speaker’s viewpoint on events: from tense to stance
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In: https://halshs.archives-ouvertes.fr/halshs-03371532 ; 2021 (2021)
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Interprofessional Communication—A Call for More Education to Ensure Cultural Competency in the Context of Traditional, Complementary, and Integrative Medicine
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In: Glob Adv Health Med (2021)
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Evaluation, Acceptance, and Qualification of Digital Measures: From Proof of Concept to Endpoint
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In: Digit Biomark (2021)
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Sensor Data Integration: A New Cross-Industry Collaboration to Articulate Value, Define Needs, and Advance a Framework for Best Practices
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In: J Med Internet Res (2021)
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Focus on Chinese herbal medicine therapy for multiple sclerosis by dialectical treatment
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In: Chin Med J (Engl) (2021)
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Telic participle, atelic participle, and aspect ; Participe télique, participe atélique et aspect
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In: L'aspect ; https://hal.archives-ouvertes.fr/hal-02504852 ; L'aspect, Feb 2020, Bordeaux, France (2020)
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Revisiting the Role of Augmentative and Alternative Communication in Aphasia Rehabilitation
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In: Am J Speech Lang Pathol (2020)
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Artificial Intelligence and Big Data in Diabetes Care: A Position Statement of the Italian Association of Medical Diabetologists
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In: J Med Internet Res (2020)
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A Primer on Integral Theory and Its Application to Mental Health Care
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In: Glob Adv Health Med (2020)
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The Need for Artificial Intelligence in Digital Therapeutics
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In: Digit Biomark (2020)
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Abstract:
Digital therapeutics is a newly described concept in healthcare which is proposed to change patient behavior and treat medical conditions using a variety of digital technologies. However, the term is rarely defined with criteria that make it distinct from simply digitizedversions of traditional therapeutics. Our objective is to describe a more valuable characteristic of digital therapeutics, which is distinct from traditional medicine or therapy: that is, the utilization of artificial intelligence and machine learning systems to monitor and predict individual patient symptom data in an adaptive clinical feedback loop via digital biomarkers to provide a precision medicine approach to healthcare. Artificial intelligence platforms can learn and predict effective interventions for individuals using a multitude of personal variables to provide a customized and more tailored therapy regimen. Digital therapeutics coupled with artificial intelligence and machine learning also allows more effective clinical observations and management at the population level for various health conditions and cohorts. This vital differentiation of digital therapeutics compared to other forms of therapeutics enables a more personalized form of healthcare that actively adapts to patients' individual clinical needs, goals, and lifestyles. Importantly, these characteristics are what needs to be emphasized to patients, physicians, and policy makers to advance the entire field of digital healthcare.
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Keyword:
Viewpoint
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URL: https://doi.org/10.1159/000506861 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7204774/ http://www.ncbi.nlm.nih.gov/pubmed/32399513
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