Artificial intelligence tool development: what clinicians need to know?
Abstract Digital medicine and smart healthcare will not be realised without the cognizant participation of clinicians. Artificial intelligence (AI) today primarily involves computers or machines designed to simulate aspects of human intelligence using mathematically designed neural networks, althoug...
Saved in:
| Main Authors: | Boon-How Chew, Kee Yuan Ngiam |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-04-01
|
| Series: | BMC Medicine |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12916-025-04076-0 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Kind of OpenStack Auto-Deployment Architecture Based on Workflow
by: Yuan Zhang, et al.
Published: (2014-11-01) -
Microservice selection approach for mobile users in edge computing environment
by: ZHAO Shuxu, et al.
Published: (2025-05-01) -
CHILDREN IN CORONAVIRUSES’ WONDERLAND: WHAT CLINICIANS NEED TO KNOW
by: Giuseppe Lassandro, et al.
Published: (2020-06-01) -
Novel Drugs of Abuse: What Clinicians Need to Know?
by: A. El Mougy
Published: (2024-12-01) -
Bridging the Gap Between Artificial Intelligence Research and Clinical Practice in Cardiovascular Science: What the Clinician Needs to Know
by: Emily Shipley, et al.
Published: (2022-04-01)