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Sajjad Fouladvand

Showing results (1-10 of 17) with videos related to

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Health Science Reports|October 23, 2023
Machine learning prediction of mild cognitive impairment and its progression to Alzheimer's diseaseSajjad Fouladvand, Morteza Noshad, V J Periyakoil, et al.
Addiction (Abingdon, England)|September 21, 2023
The ChatGPT therapist will see you now: Navigating generative artificial intelligence's potential in addiction medicine research and patient careSteven Tate, Sajjad Fouladvand, Jonathan H Chen, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 31, 2023
Session Introduction: Artificial Intelligence in Clinical Medicine: Generative and Interactive Systems at the Human-Machine InterfaceSajjad Fouladvand, Emma Pierson, Ivana Jankovic, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|June 23, 2023
Mild Cognitive Impairment: Data-Driven Prediction, Risk Factors, and WorkupSajjad Fouladvand, Morteza Noshad, Mary Kane Goldstein, et al.
Behavioral Sciences (Basel, Switzerland)|March 28, 2024
Leveraging Artificial Intelligence to Predict Health Belief Model and COVID-19 Vaccine Uptake Using Survey Text from US NursesSamaneh Omranian, Alireza Khoddam, Celeste Campos-Castillo, et al.
Proceedings. IEEE International Conference on Bioinformatics and Biomedicine|November 16, 2020
Deep Learning Prediction of Mild Cognitive Impairment using Electronic Health RecordsSajjad Fouladvand, Michelle M Mielke, Maria Vassilaki, et al.
Obesity (Silver Spring, Md.)|September 7, 2022
T cells dominate peripheral inflammation in a cross-sectional analysis of obesity-associated diabetesGabriella H Pugh, Sajjad Fouladvand, Sara SantaCruz-Calvo, et al.
Journal of Biomedical Informatics|June 4, 2023
Graph-based clinical recommender: Predicting specialists procedure orders using graph representation learningSajjad Fouladvand, Federico Reyes Gomez, Hamed Nilforoshan, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 21, 2022
Identifying Opioid Use Disorder from Longitudinal Healthcare Data using a Multi-stream TransformerSajjad Fouladvand, Jeffery Talbert, Linda P Dwoskin, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|January 15, 2024
Predicting premature discontinuation of medication for opioid use disorder from electronic medical recordsIvan Lopez, Sajjad Fouladvand, Scott Kollins, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Health Science Reports|October 23, 2023
Machine learning prediction of mild cognitive impairment and its progression to Alzheimer's diseaseSajjad Fouladvand, Morteza Noshad, V J Periyakoil, et al.
Addiction (Abingdon, England)|September 21, 2023
The ChatGPT therapist will see you now: Navigating generative artificial intelligence's potential in addiction medicine research and patient careSteven Tate, Sajjad Fouladvand, Jonathan H Chen, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 31, 2023
Session Introduction: Artificial Intelligence in Clinical Medicine: Generative and Interactive Systems at the Human-Machine InterfaceSajjad Fouladvand, Emma Pierson, Ivana Jankovic, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|June 23, 2023
Mild Cognitive Impairment: Data-Driven Prediction, Risk Factors, and WorkupSajjad Fouladvand, Morteza Noshad, Mary Kane Goldstein, et al.
Behavioral Sciences (Basel, Switzerland)|March 28, 2024
Leveraging Artificial Intelligence to Predict Health Belief Model and COVID-19 Vaccine Uptake Using Survey Text from US NursesSamaneh Omranian, Alireza Khoddam, Celeste Campos-Castillo, et al.
Proceedings. IEEE International Conference on Bioinformatics and Biomedicine|November 16, 2020
Deep Learning Prediction of Mild Cognitive Impairment using Electronic Health RecordsSajjad Fouladvand, Michelle M Mielke, Maria Vassilaki, et al.
Obesity (Silver Spring, Md.)|September 7, 2022
T cells dominate peripheral inflammation in a cross-sectional analysis of obesity-associated diabetesGabriella H Pugh, Sajjad Fouladvand, Sara SantaCruz-Calvo, et al.
Journal of Biomedical Informatics|June 4, 2023
Graph-based clinical recommender: Predicting specialists procedure orders using graph representation learningSajjad Fouladvand, Federico Reyes Gomez, Hamed Nilforoshan, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 21, 2022
Identifying Opioid Use Disorder from Longitudinal Healthcare Data using a Multi-stream TransformerSajjad Fouladvand, Jeffery Talbert, Linda P Dwoskin, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|January 15, 2024
Predicting premature discontinuation of medication for opioid use disorder from electronic medical recordsIvan Lopez, Sajjad Fouladvand, Scott Kollins, et al.
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