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Lekhansh Shukla

Datos Biográficos

ID9639450
NOMBRELekhansh Shukla
NOMBRESLekhansh
APELLIDOShukla
FIRMASHUKLA L
AFILIACIONESCentre for Addiction Medicine, Department of Psychiatry National Institute of Mental Health and Neuro Sciences Bengaluru India
ORCID0000-0002-4558-3890
VERIFICADOSí
TOTAL DE OBRAS3
TOTAL DE CITAS0
OBRAS COMO AUTOR3
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2021
AÑO MÁS RECIENTE DE PUBLICACIÓN2026
ÍNDICE H0
  • Integrating Lived Experience Perspectives in AI-based Mental Health Research

    Open Access•Deepak S Ghadigaonkar, Diptadhi Mukherjee et al.•ARTICLE•Indian Journal of Psychological…•2026

    The embedding of lived experience experts (LEEs) is increasingly recognized as important in research, but evidence from low- and middle-income countries (LMIC) remains sparse. This viewpoint aims to present and critically reflect on a model for integrating LEEs into the design of an artificial intelligence (AI)-based mental health (MH) study to develop an automated depression screening system in India. We report on the process of forming a divers…

  • Language Models for Standardising Clinical Notes and Information Extraction in Addiction Psychiatry—An Empirical Study

    Open Access•Haritha Gireesh, Lekhansh Shukla et al.•ARTICLE•Drug and Alcohol Review•2026

  • Alcohol controls in the aftermath of the Covid ‐19 pandemic in India

    Open Access•Jayant Mahadevan, Lekhansh Shukla et al.•ARTICLE•Drug and Alcohol Review•2021

    The COVID‐19 pandemic and subsequent restrictions have resulted in additional challenges for persons with alcohol use disorders as well as for the effective operation of alcohol controls in different societies. The challenges are different in different systems and economies. Crises such as these often provide governments with opportunities to remake systems. We use the recent experience from India, which rapidly shifted between total countrywide …

Sin obras prominentes en esta página.

  • Alcohol controls in the aftermath of the Covid ‐19 pandemic in India

    Open Access•Jayant Mahadevan, Lekhansh Shukla et al.•ARTICLE•Drug and Alcohol Review•2021

    The COVID‐19 pandemic and subsequent restrictions have resulted in additional challenges for persons with alcohol use disorders as well as for the effective operation of alcohol controls in different societies. The challenges are different in different systems and economies. Crises such as these often provide governments with opportunities to remake systems. We use the recent experience from India, which rapidly shifted between total countrywide …

  • Integrating Lived Experience Perspectives in AI-based Mental Health Research

    Open Access•Deepak S Ghadigaonkar, Diptadhi Mukherjee et al.•ARTICLE•Indian Journal of Psychological…•2026

    The embedding of lived experience experts (LEEs) is increasingly recognized as important in research, but evidence from low- and middle-income countries (LMIC) remains sparse. This viewpoint aims to present and critically reflect on a model for integrating LEEs into the design of an artificial intelligence (AI)-based mental health (MH) study to develop an automated depression screening system in India. We report on the process of forming a divers…

  • Language Models for Standardising Clinical Notes and Information Extraction in Addiction Psychiatry—An Empirical Study

    Open Access•Haritha Gireesh, Lekhansh Shukla et al.•ARTICLE•Drug and Alcohol Review•2026

2019-20 coronavirus outbreak (1 obra) · Addiction (1 obra) · Alcohol (1 obra) · Alcohol Consumption and Health Effects (1 obra) · Bespoke (1 obra) · Biomedical Text Mining and Ontologies (1 obra) · Business (1 obra) · Culturally appropriate (1 obra) · Development economics (1 obra) · Digital Mental Health Interventions (1 obra)

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