In medical practice, chest X-rays are the most ubiquitous diagnostic imaging tests. However, the current workload in extensive health care facilities and lack of well-trained radiologists is a significant challenge in the patient care pathway. Therefore, an accurate, reliable, and fast computer-aided diagnosis (CAD) system capable of detecting abnormalities in chest X-rays is crucial in improving the radiological workflow. In this prospective multicenter quality-improvement study, we have evaluated whether artificial intelligence (AI) can be used as a chest X-ray screening tool in real clinical settings. Methods: A team of radiologists used the AI-based chest X-ray screening tool (qXR) as a part of their daily reporting routine to report consecutive chest X-rays for this prospective multicentre study. This study took place in a large radiology network in India between June 2021 and March 2022. Results: A total of 65,604 chest X-rays were processed during the study period. The overall performance of AI achieved in detecting normal and abnormal chest X-rays was good. The high negatively predicted value (NPV) of 98.9% was achieved. The AI performance in terms of area under the curve (AUC), NPV for the corresponding subabnormalities obtained were blunted CP angle (0.97, 99.5%), hilar dysmorphism (0.86, 99.9%), cardiomegaly (0.96, 99.7%), reticulonodular pattern (0.91, 99.9%), rib fracture (0.98, 99.9%), scoliosis (0.98, 99.9%), atelectasis (0.96, 99.9%), calcification (0.96, 99.7%), consolidation (0.95, 99.6%), emphysema (0.96, 99.9%), fibrosis (0.95, 99.7%), nodule (0.91, 99.8%), opacity (0.92, 99.2%), pleural effusion (0.97, 99.7%), and pneumothorax (0.99, 99.9%). Additionally, the turnaround time (TAT) decreased by about 40.63% from pre-qXR period to post-qXR period. Conclusion: The AI-based chest X-ray solution (qXR) screened chest X-rays and assisted in ruling out normal patients with high confidence, thus allowing the radiologists to focus more on assessing pathology on abnormal chest X-rays and treatment pathways.

Acute appendicitis is a common surgical emergency with varied clinical presentations. Early diagnosis is absolutely necessary to minimize morbidity whereas delayed or missed diagnosis can cause adverse consequences. Computed tomography is a highly accurate imaging technique for diagnosing appendicitis. Hence it plays a valuable role in selected patients with suspected appendicitis; [1]. In this essay, we review the normal Computed tomography anatomy of the appendix and the right lower quadrant and illustrate the Computed tomography signs of appendicitis and important differential diagnostic entities. The Computed tomography appearance of complications of acute appendicitis is also presented, as are issues concerning clinical presentation and duration of the symptoms. Computed tomography signs can be varied and overlooked as they say what is easy to see is also easy to miss.

Pseudoaneurysm of the cavernosal artery is quite rare. Herein, we describe color Doppler findings of post-traumatic pseudoaneurysm of the right cavernosal artery in a 19-year-old adolescent boy who presented with right hip pain. Doppler showed turbulence of flow with arterial inflow and outflow from the aneurysm. Selective transarterial catheterization of the internal iliac and internal pudental artery with microcatheter and embolization of pseudoaneurysm using histocryl resulted in alleviation of symptoms.