Artificial Intelligence-Assisted System in Postoperative Follow-up of Orthopedic Patients: Exploratory Quantitative and Qualitative Study
BackgroundPatient follow-up is an essential part of hospital ward management. With the development of deep learning algorithms, individual follow-up assignments might be completed by artificial intelligence (AI). We developed an AI-assisted follow-up conversational agent that can simulate the human...
Saved in:
Main Authors: | Bian, Yanyan (Author), Xiang, Yongbo (Author), Tong, Bingdu (Author), Feng, Bin (Author), Weng, Xisheng (Author) |
---|---|
Format: | Book |
Published: |
JMIR Publications,
2020-05-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Quantitative systems pharmacology in the age of artificial intelligence
by: Benjamin Ribba
Published: (2023) -
The role of artificial intelligence in immune checkpoint inhibitor research: A bibliometric analysis
by: Ziqi Zhao, et al.
Published: (2024) -
Education and training for sustainability. Towards Artificial Intelligence: an exploratory investigation on teachers.
by: Maria Vittoria Isidori, et al.
Published: (2024) -
Real-World Verification of Artificial Intelligence Algorithm-Assisted Auscultation of Breath Sounds in Children
by: Jing Zhang, et al.
Published: (2021) -
Emerging role of quantitative imaging (radiomics) and artificial intelligence in precision oncology
by: Ashish Kumar Jha, et al.
Published: (2023)