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How Artificial Intelligence Is Shaping Medical Imaging Technology: A Survey of Innovations and Applications
1ISEP-School of Engineering, Polytechnic Institute of Porto, 4200-465 Porto, Portugal.
Artificial intelligence (AI) is revolutionizing medical imaging, enhancing diagnostic accuracy and efficiency. AI applications in radiology and pathology improve early disease detection and personalize patient treatment plans for better healthcare outcomes.
Area of Science:
- Medical Imaging
- Artificial Intelligence
- Healthcare Technology
Background:
- Artificial intelligence (AI) integration is transforming medical imaging and healthcare delivery.
- AI innovations significantly impact medical diagnosis and patient care.
- The field is rapidly evolving with new AI techniques and applications.
Purpose of the Study:
- To review the latest innovations and applications of AI in medical imaging.
- To highlight AI's impact on diagnostic accuracy, efficiency, and patient outcomes.
- To explore AI's role in revolutionizing medical diagnosis and personalized treatment.
Main Methods:
- Literature review of cutting-edge AI developments.
- Exploration of AI applications in various medical fields like radiology, pathology, and cardiology.
- Analysis of AI's role in image analysis and interpretation.
Main Results:
- AI, including deep learning, convolutional neural networks, and generative adversarial networks, enhances medical image analysis accuracy and efficiency.
- AI enables rapid detection of abnormalities in radiological and retinal images.
- AI-based tools expedite image interpretation, improve early disease detection, and facilitate personalized treatment plans.
Conclusions:
- AI represents a paradigm shift in medical imaging, revolutionizing diagnosis and patient care.
- AI integration optimizes healthcare delivery through improved diagnostics and personalized medicine.
- AI is poised to continue shaping the future of healthcare positively.
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