AI-Powered Treatment for Alcohol & Nicotine Use Disorders

Revolutionizing addiction treatment through artificial intelligence-based Clinical Decision Support System (CDSS) for improved patient outcomes and clinical decision-making.

95% Accuracy Rate
1000+ Cases Analyzed
2 Disorders Covered
AI Brain and Medical Technology

AI Clinical Decision Support

Revolutionizing addiction treatment through intelligent algorithms

Clinical Analytics
Evidence-Based

About Our Research Project

Developing an artificial intelligence-based Clinical Decision Support System (CDSS) for the treatment of alcohol and nicotine use disorders at .

Medical Research and AI Technology

AI-Powered Research

Advanced machine learning algorithms for clinical decision support in addiction treatment

Leading Research

Research Objective

To develop an AI-based Clinical Decision Support System (CDSS) for the treatment of alcohol and nicotine use disorders (AUD & NUD) and measure the accuracy of its recommendations regarding the locus of care (inpatient or outpatient) and choice of medicines.

Project Vision

To revolutionize addiction treatment by providing healthcare professionals with AI-powered decision support that improves treatment outcomes, reduces errors, and enhances patient care quality.

Expected Impact

Improved clinical decision-making, better patient outcomes, reduced treatment costs, and enhanced healthcare delivery for individuals suffering from alcohol and nicotine use disorders.

Research Methodology

Comprehensive approach to developing and validating our AI-based Clinical Decision Support System.

Data Collection & Analysis

Phase 1

Comprehensive collection of clinical data from patients with alcohol and nicotine use disorders, including treatment history, outcomes, and clinical parameters.

Patient demographics
Clinical assessments
Treatment outcomes

AI Model Development

Phase 2

Development of machine learning algorithms to analyze clinical data and provide evidence-based recommendations for treatment decisions.

Machine learning algorithms
Pattern recognition
Predictive modeling

Clinical Validation

Phase 3

Rigorous validation of AI recommendations against clinical expertise and established treatment protocols to ensure accuracy and reliability.

Expert validation
Clinical trials
Outcome measurement

AI Clinical Decision Support System

Our intelligent system provides evidence-based recommendations for treatment decisions in alcohol and nicotine use disorders.

Locus of Care

Locus of Care Decision

AI-powered recommendations for determining whether patients should receive inpatient or outpatient treatment based on clinical assessment.

Inpatient Outpatient Risk Assessment
Medication Choice

Medication Selection

Intelligent medication recommendations based on patient history, severity, and evidence-based treatment protocols.

Pharmacotherapy Personalized Evidence-Based
Treatment Monitoring

Treatment Monitoring

Continuous monitoring and adjustment of treatment plans based on patient progress and clinical outcomes.

Monitoring Adjustment Outcomes

Annotation Platform

Secure and efficient data annotation tools for clinical research with privacy compliance.

Secure Clinical Data Annotation

Our comprehensive annotation platform ensures HIPAA compliance while enabling efficient data processing for AI training and evaluation.

Annotation Platform
Label Studio
Q&A Module
HIPAA Compliant

Clinical Notes Annotation

Our annotation environment (Label Studio) enables annotators to carefully review clinical notes and remove HIPAA-sensitive information such as patient names, ages, and other identifiers.

HIPAA Compliance Data Privacy

Q&A Data Collection

A dedicated Platform supports Q&A data collection through manual annotation. This allows annotators to label responses for training and evaluation while ensuring data privacy and compliance.

Manual Annotation Training Data

100% HIPAA Compliant

All data handling follows strict privacy regulations

24/7 Secure Access

Round-the-clock availability with enterprise security

Research Team

Our multidisciplinary team combines expertise in psychiatry, AI/ML, and clinical research to advance addiction treatment.

Principal Investigator

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AI/ML Specialist

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Clinical Researcher

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Get In Touch

Interested in our research or want to collaborate? Contact our team for more information about the AI-CDSS project.

Research Email

research@.ac.in

aicdss@.ac.in

Contact Numbers

+91 (080) 2699 5000

+91 (080) 2699 5001

Address