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JMIR AI

Showing results (111-120 of 330) with videos related to

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JMIR AI|July 3, 2025
Striking a Balance: Innovation, Equity, and Consistency in AI Health TechnologiesEric Perakslis, Kimberly Nolen, Ethan Fricklas, et al.
JMIR AI|July 4, 2025
Identifying New Risk Associations Between Chronic Physical Illness and Mental Health Disorders in China: Machine Learning Approach to a Retrospective Population AnalysisLizhong Liang, Tianci Liu, William Ollier, et al.
JMIR AI|July 3, 2025
Fine-Grained Classification of Pressure Ulcers and Incontinence-Associated Dermatitis Using Multimodal Deep Learning: Algorithm Development and Validation StudyAlexander Brehmer, Constantin Seibold, Jan Egger, et al.
JMIR AI|July 3, 2025
Clinical Laboratory Parameter-Driven Machine Learning for Participant Selection in Bioequivalence Studies Among Patients With Gastric Cancer: Framework Development and Validation StudyByungeun Shon, Sook Jin Seong, Eun Jung Choi, et al.
JMIR AI|September 22, 2025
Leveraging Smart Bed Technology to Detect COVID-19 Symptoms: Case StudyGary Garcia-Molina, Dmytro Guzenko, Susan DeFranco, et al.
JMIR AI|September 15, 2025
Trade-Off Analysis of Classical Machine Learning and Deep Learning Models for Robust Brain Tumor Detection: Benchmark StudyYuting Tian
JMIR AI|September 15, 2025
Machine-Learning Predictive Tool for the Individualized Prediction of Outcomes of Hematopoietic Cell Transplantation for Sickle Cell Disease: Registry-Based StudyRajagopal Subramaniam Chandrasekar, Michael Kane, Lakshmanan Krishnamurti
JMIR AI|July 11, 2024
Approaches for the Use of AI in Workplace Health Promotion and Prevention: Systematic Scoping ReviewMartin Lange, Alexandra Löwe, Ina Kayser, et al.
JMIR AI|July 10, 2024
Multiscale Bowel Sound Event Spotting in Highly Imbalanced Wearable Monitoring Data: Algorithm Development and Validation StudyAnnalisa Baronetto, Luisa Graf, Sarah Fischer, et al.
JMIR AI|July 9, 2024
Correction: Feasibility of Multimodal Artificial Intelligence Using GPT-4 Vision for the Classification of Middle Ear Disease: Qualitative Study and ValidationMasao Noda, Hidekane Yoshimura, Takuya Okubo, et al.
Pageof 33

Showing results (111-120 of 330) with videos related to

Sort By:
Pageof 33
JMIR AI|July 3, 2025
Striking a Balance: Innovation, Equity, and Consistency in AI Health TechnologiesEric Perakslis, Kimberly Nolen, Ethan Fricklas, et al.
JMIR AI|July 4, 2025
Identifying New Risk Associations Between Chronic Physical Illness and Mental Health Disorders in China: Machine Learning Approach to a Retrospective Population AnalysisLizhong Liang, Tianci Liu, William Ollier, et al.
JMIR AI|July 3, 2025
Fine-Grained Classification of Pressure Ulcers and Incontinence-Associated Dermatitis Using Multimodal Deep Learning: Algorithm Development and Validation StudyAlexander Brehmer, Constantin Seibold, Jan Egger, et al.
JMIR AI|July 3, 2025
Clinical Laboratory Parameter-Driven Machine Learning for Participant Selection in Bioequivalence Studies Among Patients With Gastric Cancer: Framework Development and Validation StudyByungeun Shon, Sook Jin Seong, Eun Jung Choi, et al.
JMIR AI|September 22, 2025
Leveraging Smart Bed Technology to Detect COVID-19 Symptoms: Case StudyGary Garcia-Molina, Dmytro Guzenko, Susan DeFranco, et al.
JMIR AI|September 15, 2025
Trade-Off Analysis of Classical Machine Learning and Deep Learning Models for Robust Brain Tumor Detection: Benchmark StudyYuting Tian
JMIR AI|September 15, 2025
Machine-Learning Predictive Tool for the Individualized Prediction of Outcomes of Hematopoietic Cell Transplantation for Sickle Cell Disease: Registry-Based StudyRajagopal Subramaniam Chandrasekar, Michael Kane, Lakshmanan Krishnamurti
JMIR AI|July 11, 2024
Approaches for the Use of AI in Workplace Health Promotion and Prevention: Systematic Scoping ReviewMartin Lange, Alexandra Löwe, Ina Kayser, et al.
JMIR AI|July 10, 2024
Multiscale Bowel Sound Event Spotting in Highly Imbalanced Wearable Monitoring Data: Algorithm Development and Validation StudyAnnalisa Baronetto, Luisa Graf, Sarah Fischer, et al.
JMIR AI|July 9, 2024
Correction: Feasibility of Multimodal Artificial Intelligence Using GPT-4 Vision for the Classification of Middle Ear Disease: Qualitative Study and ValidationMasao Noda, Hidekane Yoshimura, Takuya Okubo, et al.
Pageof 33