This review synthesizes deep learning applications in healthcare and examines ethical challenges, suggesting responsible integration frameworks.
Key Points
Deep learning advancements in healthcare enhance diagnostics and treatment personalization, significantly improving operational efficiency.
Analysis from 85+ studies reveals a critical gap between technical proficiency in deep learning and the lag in ethical governance.
The review covers significant sectors like medical imaging, clinical decision support, genomics, and drug discovery with highlighted ethical implications.
Frameworks proposed for responsible deep learning integration emphasize the need for interdisciplinary collaboration and strong regulatory oversight.