Deep Learning In Healthcare: Challenges, Applications, And Future Directions

Deep learning has the potential to revolutionize healthcare by directly processing complex biomedical data and translating it into actionable health outcomes. However, challenges such as interpretability and integration into clinical workflows must be addressed for widespread adoption. Recent advancements in deep learning have shown promise in tasks such as disease detection and predictive analysis, and ongoing efforts indicate a growing interest in leveraging this technology in healthcare.