Report Generation of Lungs Diseases From Chest X-ray using NLP

Abstract

Pulmonary diseases are very severe health complications in the world that impose a massive worldwide health burden. These diseases comprise of pneumonia, asthma, tuberculosis, Covid-19, cancer, etc. The evidences show that around 65 million people undergo the chronic obstructive pulmonary disease and nearly 3 million people pass away from it each year that make it the third prominent reason of death worldwide. To decrease the burden of lungs diseases timely diagnosis is very essential. Computer-aided diagnostic, are systems that support doctors in the analysis of medical images. This study showcases that Report Generation System has automated the Chest X-Ray interpretation procedure and lessen human effort, consequently helped the people for timely diagnoses of chronic lungs diseases to decrease the death rate. This system provides great relief for people in rural areas where the doctor-to-patient ratio is only 1 doctor per 1300 people. As a result, after utilizing this application, the affected individual can seek further therapy for the ailment they have been diagnosed with. The proposed system is supposed to be used in the distinct architecture of deep learning (Deep Convolution Neural Network), this is fine tuned to CNN-RNN trainable end-to-end architecture. By using the patient-wise official split of the OpenI dataset we have trained a CNN-RNN model with attention. Our model achieved an accuracy of 94%, which is the highest performance.

Evaluating the Efficacy of ChatGPT in Navigating the Spanish Medical Residency Entrance Examination (MIR): Promising Horizons for AI in Clinical Medicine

“…Another use of GPT-4 could be to help physicians generate reports and make them comprehensible for patients [67] or even write them in another language. This has been shown especially in the field of Radiology [68,69]. The sequencing of the MIR examination questions is crucial in understanding GPT-4's performance.…”

Evaluating ChatGPT Efficacy in Navigating the Spanish Medical Residency Entrance Examination (MIR): A New Horizon for AI in Clinical Medicine

“…A n o t h e r u s e o f C h a t G P T c o u l d b e t o h e l p p h y s i c i a n s g e n e r a t e r e p o r t s , m a k e t h e m comprehendible for patients [34] or even write them in another language. This has been shown especially in the field of Radiology [35,36]. The sequencing of the MIR Examination questions is crucial in understanding GPT-4's performance.…”

Radiology Gets Chatty: The ChatGPT Saga Unfolds

“…These automated reports have demonstrated a high degree of accuracy, consistency, and clinical relevance [4]. However, the practicality of these generated reports may be questionable and appears more as an unusual novelty, given that current radiology dictation software utilizes various voice commands to produce pre-stored templates quickly for reporting [5]. An example of human prompting and ChatGPTs response is:…”