In the past five years, the development of AI-based tools for healthcare has surged significantly. These tools leverage a variety of technologies, each with established use cases in the healthcare sector:
- Computer Vision (CV): CV’s proficiency in interpreting visual data, including natural images, videos, and 3D scenes, is extensively utilized in medical diagnostic imaging and virtual reality for medical activities.
- Natural Language Processing (NLP): NLP enables computers to comprehend spoken or written human languages, leading to applications like chatbots, speech recognition, and clinical documentation processing.
- Robotics Technology: Robots automate operations, aiding in medical imaging, surgeries, and hospital logistics.
- Planning, Scheduling, and Optimization: This technology analyzes data, allowing healthcare organizations to enhance logistics efficiency.
- Recommender Systems: These systems help manage the influx of health-related information, offering recommendations on nutrition, medication, and physical activity.
These diverse AI technologies are transforming healthcare, as evident in their various use cases across the industry. Continuously evolving, these tools reshape the landscape of healthcare, ensuring a future where technology seamlessly integrates with medical expertise, delivering optimal outcomes for both patients and healthcare professionals.
