International Journal For Multidisciplinary Research

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Ai Radiologist: Vit & Bert Power Chest X-ray Report Automation

Author(s) Mr.Balamurugan V, Mr.Giriprasath K S
Country India
Abstract Radiology workloads soar, straining radiologists and potentially delaying diagnoses. We introduce the "AI Radiologist," a novel approach leveraging ViT (Vision Transformer) and BERT (Bidirectional Encoder Representations from Transformers) to automate chest X-ray report generation. The AI Radiologist employs a multi-stage pipeline. ViT extracts rich visual features from preprocessed X-rays, capturing spatial relationships and subtle details. These features are then fed into a BERT model, trained on a massive dataset of chest X-ray reports and corresponding images. BERT analyzes these features and generates comprehensive, natural language reports, including findings, diagnoses, and recommendations. This AI-powered approach offers compelling advantages. Compared to traditional methods, the AI Radiologist boasts improved accuracy and efficiency, potentially alleviating radiologist burnout and freeing them for complex cases.
Moreover, generated audio descriptions can enhance accessibility for visually impaired individuals. We evaluate the AI Radiologist extensively, demonstrating its superior performance against existing benchmarks. Our results suggest this technology has the potential to revolutionize chest X-ray reporting, promoting faster diagnoses, improved patient care, and a more efficient healthcare system.
Keywords AI, Radiology, Chest X-ray, ViT, BERT, Report Automation, Medical Imaging
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 6, Issue 2, March-April 2024
Published On 2024-04-06
Cite This Ai Radiologist: Vit & Bert Power Chest X-ray Report Automation - Mr.Balamurugan V, Mr.Giriprasath K S - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.16028
DOI https://doi.org/10.36948/ijfmr.2024.v06i02.16028
Short DOI https://doi.org/gtp8m7
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