Automated Medical Report Generation using Deep  Learning

Author(s)	Advait Kulkarni, Anupama Phakatkar, Mayuresh Khankale, Aniket Kolte, Samiran Kulkarni
Country	India
Abstract	This paper surveys recent advancements in deep learning for automated medical report generation, inspired by image captioning techniques. It explores key methodologies, including CNN-based feature extraction, RNNs, attention mechanisms, and reinforcement learning. The study discusses datasets, evaluation metrics, and real-world applications, emphasizing benefits like improved efficiency and reduced human error. Challenges such as data imbalance and model interpretability are addressed, along with future research directions aimed at enhancing diagnostic accuracy and clinical workflows.
Keywords	CNN, RNN, LSTM
Field	Computer
Published In	Volume 7, Issue 2, March-April 2025
Published On	2025-04-12
DOI	https://doi.org/10.36948/ijfmr.2025.v07i02.38742
Short DOI	https://doi.org/g9fb5q

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International Journal For Multidisciplinary Research