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Deep learning systems are being developed to generate medical reports automatically to reduce doctor workload.

“Despite the great progress made by existing deep generation methods, it is still inadequate in (1) insufficient consideration of the visual-pathological gap and (2) weak evaluation of clinical language style.” National Institutes of Health (.gov) · 4 months ago 126287

Experts and researchers emphasize the practical difficulties and recent breakthroughs in applying these deep reviews to real-world medical data. Deep learning systems are being developed to generate

Translating those visual features into coherent text using architectures like RNNs, LSTMs, and Transformers. 🏥 Focus on Medical Report Generation 🏥 Focus on Medical Report Generation Traditional training

Traditional training data can lead to hallucinations or biased outputs, particularly in socio-economically diverse content.

The extraction of visual information using models like CNNs or Vision Transformers.

The field is shifting toward Multimodal Large Language Models (MLLMs) to provide better reasoning and generative flexibility. Community Perspectives