Venkata Lakshmi Narasimha
Biographic Data
| ID | 8241690 |
|---|---|
| NAME | Venkata Lakshmi Narasimha |
| GIVEN NAMES | Venkata Lakshmi |
| FAMILY NAME | Narasimha |
| SIGNATURE | NARASIMHA V L |
| AFFILIATIONS | American Society of Addiction Medicine |
| ORCID | 0000-0001-9111-8714 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| 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…
Prevalence and association between alcohol, tobacco, and Covid-19
Introduction: Alcohol and tobacco use has been proposed to significantly affect COVID-19 outcomes. The study aimed to estimate the prevalence of alcohol and tobacco use among COVID-19-positive patients and compare it with the general population prevalence rates. It also aimed to assess and determine the association between the severity of COVID-19 illness and the complications with alcohol and tobacco use. Method: For this, a cross-sectional, ret…
An online global survey and follow-up expert groups on the scope and needs related to training, research, and mentorship among early-career addiction medicine professionals
Addiction medicine is a rapidly growing field with many young professionals seeking careers in this field. However, early-career professionals (ECPs) face challenges such as a lack of competency-based training due to a shortage of trainers, limited resources, limited mentorship opportunities, and establishment of suitable research areas. The International Society of Addiction Medicine (ISAM) New Professionals Exploration, Training & Education (NE…
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An online global survey and follow-up expert groups on the scope and needs related to training, research, and mentorship among early-career addiction medicine professionals
Addiction medicine is a rapidly growing field with many young professionals seeking careers in this field. However, early-career professionals (ECPs) face challenges such as a lack of competency-based training due to a shortage of trainers, limited resources, limited mentorship opportunities, and establishment of suitable research areas. The International Society of Addiction Medicine (ISAM) New Professionals Exploration, Training & Education (NE…
Prevalence and association between alcohol, tobacco, and Covid-19
Introduction: Alcohol and tobacco use has been proposed to significantly affect COVID-19 outcomes. The study aimed to estimate the prevalence of alcohol and tobacco use among COVID-19-positive patients and compare it with the general population prevalence rates. It also aimed to assess and determine the association between the severity of COVID-19 illness and the complications with alcohol and tobacco use. Method: For this, a cross-sectional, ret…
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…
Medicine (2 works) · Addiction (1 work) · Addiction medicine (1 work) · Alcohol Consumption and Health Effects (1 work) · Best practice (1 work) · Comorbidity (1 work) · COVID-19 and Mental Health (1 work) · Cross-sectional study (1 work) · Culturally appropriate (1 work) · Delphi method (1 work)