Artificial Intelligence Applications in Smart Healthcare: A Survey
Abstract
:1. Introduction
2. Definition and Characteristics
2.1. Definition
2.2. Characteristics
- (1)
- Data collection and integration part
- (2)
- Unstructured data processing part
- (3)
- Data preprocessing part
- (4)
- Algorithm and model part
- (5)
- Prediction analysis part
- (6)
- Decision support part
- (7)
- Feedback and optimization part
3. Opportunities
4. Applications
4.1. Disease Prediction and Prevention
4.2. Diagnostic Imaging
4.3. Personalized Treatment Plans
4.4. Virtual Health Assistant
4.5. Remote Patient Monitoring
4.6. Drug Discovery and Development
4.7. Robotic Surgery
4.8. NLP for Electronic Health Records
4.9. Behavioral Health Support
4.10. Clinical Trial Matching
5. Challenges and Existing Solutions
5.1. Data Integration and Interoperability
5.1.1. Challenges
5.1.2. Existing Solutions
5.1.3. Evaluation of the Existing Solutions
5.2. Large-Scale Data Handling
5.2.1. Challenges
5.2.2. Existing Solutions
5.2.3. Evaluation of the Existing Solutions
5.3. Real-Time Processing
5.3.1. Challenges
5.3.2. Existing Solutions
5.3.3. Evaluation of the Existing Solutions
5.4. Model Interpretability
5.4.1. Challenges
5.4.2. Existing Solutions
5.4.3. Evaluation of the Existing Solutions
5.5. Continuous Learning and Adaptability
5.5.1. Challenges
5.5.2. Existing Solutions
5.5.3. Evaluation of the Existing Solutions
5.6. Security of AI Models
5.6.1. Challenges
5.6.2. Existing Solutions
5.6.3. Evaluation of the Existing Solutions
5.7. Ethical AI Design
5.7.1. Challenges
5.7.2. Existing Solutions
5.7.3. The Impact of AI on HIPAA
5.8. Integration with Electronic Health Records
5.8.1. Challenges
5.8.2. Existing Solutions
5.8.3. Evaluation of the Existing Solutions
5.9. Scalability
5.9.1. Challenges
5.9.2. Existing Solutions
5.9.3. Evaluation of the Existing Solutions
5.10. Underserved and Remote Areas with Limited Connectivity
5.10.1. Challenges
5.10.2. Existing Solutions
5.10.3. Evaluation of the Existing Solutions
6. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
Abbreviations
AI | Artificial intelligence |
EHR | Electric healthcare record |
ML | Machine learning |
DL | Deep learning |
NLP | Natural language processing |
CNN | Convolutional neural network |
RNN | Recurrent neural network |
LSTM | Long short-term memory |
SVM | Support vector machine |
ANN | Artificial neural network |
XAI | Explainable AI |
API | Application programming interface |
FHIR | Fast Healthcare Interoperability Resources |
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Gao, X.; He, P.; Zhou, Y.; Qin, X. Artificial Intelligence Applications in Smart Healthcare: A Survey. Future Internet 2024, 16, 308. https://doi.org/10.3390/fi16090308
Gao X, He P, Zhou Y, Qin X. Artificial Intelligence Applications in Smart Healthcare: A Survey. Future Internet. 2024; 16(9):308. https://doi.org/10.3390/fi16090308
Chicago/Turabian StyleGao, Xian, Peixiong He, Yi Zhou, and Xiao Qin. 2024. "Artificial Intelligence Applications in Smart Healthcare: A Survey" Future Internet 16, no. 9: 308. https://doi.org/10.3390/fi16090308