Medical laboratory data-based models: opportunities, obstacles, and solutions
Abstract Medical Laboratory Data (MLD) models, which combine artificial intelligence with big medical data, have great potential in disease screening, diagnosis, personalized medicine, and health management. This study thoroughly examines the opportunities, challenges, and solutions in this field. T...
Saved in:
| Main Authors: | Jiaojiao Meng, Moxin Wu, Fangmin Shi, Ying Xie, Hui Wang, You Guo |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-07-01
|
| Series: | Journal of Translational Medicine |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12967-025-06802-x |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Opportunities and Obstacles to Marketing Through AI: Theoretical study
by: Zakia Omer
Published: (2025-06-01) -
Opportunities and Challenges of Large Language Models in Medical Imaging
by: Ali Tarighatnia, et al.
Published: (2025-03-01) -
WOMEN ENTREPRENEURSHIP
by: Claudia-Marinela ZĂTREANU
Published: (2023-05-01) -
Medical Laboratory Staff Awareness’ Concerning Occupational Health Hazards in Public Hospitals
by: Hayder Nidhal Kamil, et al.
Published: (2024-06-01) -
The Obstacles that Face Emergency Medical Services System when Dealing with Critical Care Cases in Saudi Arabia
by: Ahmed Saleh Alsharif, et al.
Published: (2023-03-01)