Conversational AI tools that can generate and discuss clinically correct radiology reports for
a given medical image have the potential to transform radiology. Such a human-in-the-loop …

Medical report generation can be treated as a process of doctors' observing, understanding,
and describing images from different perspectives. Following this process, this paper …

Medical image reporting focused on automatically generating the diagnostic reports from
medical images has garnered growing research attention. In this task, learning cross-modal …

Automatic radiology report generation using deep learning models has been recently
explored and found promising. Neural decoders are commonly used for the report …

Radiology report generation (RRG) is crucial to save the valuable time of radiologists in
drafting the report, therefore increasing their work efficiency. Compared to typical methods …

Generating radiology reports automatically reduces the workload of radiologists and helps
the diagnoses of specific diseases. Many existing methods take this task as modality transfer …

Report generation models offer fine-grained textual interpretations of medical images like
chest X-rays, yet they often lack interactivity (ie. the ability to steer the generation process …