Lekhansh Shukla
Biographic Data
| ID | 9639450 |
|---|---|
| NAME | Lekhansh Shukla |
| GIVEN NAMES | Lekhansh |
| FAMILY NAME | Shukla |
| SIGNATURE | SHUKLA L |
| AFFILIATIONS | Centre for Addiction Medicine, Department of Psychiatry National Institute of Mental Health and Neuro Sciences Bengaluru India |
| ORCID | 0000-0002-4558-3890 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Integrating Lived Experience Perspectives in AI-based Mental Health Research
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
Alcohol controls in the aftermath of the Covid ‐19 pandemic in India
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 …
No prominent works on this page.
Alcohol controls in the aftermath of the Covid ‐19 pandemic in India
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
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
2019-20 coronavirus outbreak (1 work) · Addiction (1 work) · Alcohol (1 work) · Alcohol Consumption and Health Effects (1 work) · Bespoke (1 work) · Biomedical Text Mining and Ontologies (1 work) · Business (1 work) · Culturally appropriate (1 work) · Development economics (1 work) · Digital Mental Health Interventions (1 work)