Grant: Alliance Grants
Thompson Rivers University
$89,050.00
AI-Powered Decision Support with Smart Chatbot for Enhanced Glioma Diagnosis
EF 2024-25
Résumé
Integrating cutting-edge AI with human-centered clinical expertise plays critical roles in guiding clinical decisions in precision medicine, where doctors can make accurate diagnosis with that information to develop an individualized treatment plan for cancer patients. Advanced cancer genomics profiling has identified many clinically and biologically significant signatures that cannot be detected through traditional morphological examination or under a microscope for cancer diagnosis. AI and advanced big data analytics would be instrumental in finding clinically relevant signatures. Our goal is to develop AI-powered Intelligent Agents (IA) with smart chatbot to enhance clinical decision-making for glioma, an adult brain tumor, within a Tumor Board setting. The Tumor Board, a group of specialists who discuss complex cancer cases, will use this AI system as a supportive tool to guide clinicians in decision making process, specifically help clinicians make informed decisions on glioma diagnosis, prognosis, and treatment. Large Language Models (LLM) could understand human-made texts (prompts) that makes it easier to interact with clinicians. We will develop LLM-powered IAs to automate data collection, processing, and reporting. The specific objectives are: 1) to create the core components of the IA; 2) to integrate the IA with LLMs and develop a chatbot interface for clinical support; and 3) to deploy the IA with LLM and assess its performance. The established collaboration with an AI expert from industry, a pathologist from hospital Tumor Board and Software/Biomedical Engineer from academia will facilitate the translation of the novel AI strategy into the clinical practice. Overall, our proposal can make a significant contribution to streamline diagnostic decision-making processes and improve glioma diagnosis by resolving diagnostically ambiguous difficult cases, and the efficiency of overloaded clinicians in a busy clinic which will lead to huge healthcare benefits to Canada. Furthermore, this AI system can be adapted to other cancer types or diseases that potentially transform clinical diagnostics. It will also help Canada to establish a strong leading position in AI-driven healthcare solutions.
Programme
Alliance Grants
Bénéficiaire
Emplacement
British Columbia, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
597784-2024
Name nom
Maimaitijiang, Yasheng Y
Department département
Engineering
Organization id
1809
Institution établissement
Thompson Rivers University
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2024
Award amount
89050
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
1211
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Medical and health sciences
Area of application fr
Sciences médicales et de la santé
Research subject code
2800
Research subject group en
Artificial intelligence
Research subject group fr
Intelligence artificielle
Research subject en
Artificial intelligence (computer vision, use2603)
Research subject fr
Intelligence artificielle (vision artificielle, utiliser 2603)
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
AI-Powered Decision Support with Smart Chatbot for Enhanced Glioma Diagnosis
Keywords
artificial intelligence (ai); autogpt; brain cancer; chatbots; diagnosis; glioma; human intelligence (hi); intelligent agents; large language model (llm); prompt engineering
Application summary
Integrating cutting-edge AI with human-centered clinical expertise plays critical roles in guiding clinical decisions in precision medicine, where doctors can make accurate diagnosis with that information to develop an individualized treatment plan for cancer patients. Advanced cancer genomics profiling has identified many clinically and biologically significant signatures that cannot be detected through traditional morphological examination or under a microscope for cancer diagnosis. AI and advanced big data analytics would be instrumental in finding clinically relevant signatures. Our goal is to develop AI-powered Intelligent Agents (IA) with smart chatbot to enhance clinical decision-making for glioma, an adult brain tumor, within a Tumor Board setting. The Tumor Board, a group of specialists who discuss complex cancer cases, will use this AI system as a supportive tool to guide clinicians in decision making process, specifically help clinicians make informed decisions on glioma diagnosis, prognosis, and treatment. Large Language Models (LLM) could understand human-made texts (prompts) that makes it easier to interact with clinicians. We will develop LLM-powered IAs to automate data collection, processing, and reporting. The specific objectives are: 1) to create the core components of the IA; 2) to integrate the IA with LLMs and develop a chatbot interface for clinical support; and 3) to deploy the IA with LLM and assess its performance. The established collaboration with an AI expert from industry, a pathologist from hospital Tumor Board and Software/Biomedical Engineer from academia will facilitate the translation of the novel AI strategy into the clinical practice. Overall, our proposal can make a significant contribution to streamline diagnostic decision-making processes and improve glioma diagnosis by resolving diagnostically ambiguous difficult cases, and the efficiency of overloaded clinicians in a busy clinic which will lead to huge healthcare benefits to Canada. Furthermore, this AI system can be adapted to other cancer types or diseases that potentially transform clinical diagnostics. It will also help Canada to establish a strong leading position in AI-driven healthcare solutions.