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The prevailing social stigma around disorders of sexual development in developing countries 发展中国家对性发育障碍的普遍社会偏见
Pub Date : 2024-03-03 DOI: 10.25259/fh_3_2024
Amit Nandan Dhar Dwivedi, Nidhi Yadav, Vandana Yadav
Disorders of sexual development (DSD), apart from medical disease, is a psychosocial stigma to not only the patient but also their whole family. We present the case of a 24-year-old 46XX, raised as male, with ambiguous genitalia and cyclical hematuria with normal female internal genitalia and secondary sexual characteristics. This case underscores the influence of social stigma and the psychosocial vulnerability associated with DSD on individuals’ lives in developing countries.
性发育障碍(DSD)除了是一种医学疾病外,还是一种社会心理耻辱,不仅对患者本人,而且对其整个家庭都是如此。我们介绍了一例 24 岁的 46XX 病例,她从小被当作男性抚养,患有生殖器畸形和周期性血尿,但女性内生殖器和第二性征正常。该病例凸显了与 DSD 相关的社会耻辱感和社会心理脆弱性对发展中国家个人生活的影响。
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引用次数: 0
Harnessing generative AI: Transformative applications in medical imaging and beyond 利用生成式人工智能:医学成像及其他领域的变革性应用
Pub Date : 2024-03-03 DOI: 10.25259/fh_12_2024
Swati Goyal, L. Kaushal
Generative AI is an expanding domain that employs machine learning models to generate novel data that closely mimic pre existing data. ChatGPT and DALL-E can be customized for specific applications and are expected to transform healthcare, education, and communication. Generative Adversarial Networks (GANs) that can generate synthetic medical images closely mimicking actual patient data may substantially enhance machine learning model training datasets. They also translate medical images from one modality to another, improve medical imaging resolution, reduce radiation exposure, and boost image quality and detail.Despite their challenges, GANs have great potential in the field of medical imaging. The key obstacles are the need for Graphic Processing Units (GPUs) and computing resources to train GANs and the lack of established standards for generating synthetic images. Incorrectly labeled data for training other machine learning models can reduce performance, making ground-truth data labeling for healthcare AI more difficult.Generative AI is revolutionizing healthcare imaging, simplifying diagnosis, and propelling healthcare research and practice to new frontiers. Ensuring the reliability and safety of generated images in medical applications requires addressing ethical considerations and validating data.
生成式人工智能(Generative AI)是一个不断扩展的领域,它采用机器学习模型来生成与现有数据非常相似的新数据。ChatGPT 和 DALL-E 可针对特定应用进行定制,有望改变医疗保健、教育和通信领域。生成式对抗网络(GAN)可以生成与实际病人数据非常相似的合成医学图像,从而大大增强机器学习模型的训练数据集。它们还能将医学图像从一种模式转换为另一种模式,提高医学成像分辨率,减少辐射暴露,并提高图像质量和细节。尽管存在挑战,生成对抗网络在医学成像领域仍有巨大潜力。主要障碍是需要图形处理器(GPU)和计算资源来训练 GANs,以及缺乏生成合成图像的既定标准。用于训练其他机器学习模型的标注不正确的数据会降低性能,使医疗人工智能的地面实况数据标注变得更加困难。要确保生成的图像在医疗应用中的可靠性和安全性,就需要解决伦理问题并验证数据。
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引用次数: 0
A curious case of giant omental lipoma 一个奇怪的巨大网膜脂肪瘤病例
Pub Date : 2024-03-03 DOI: 10.25259/fh_9_2024
Prachi Shukla, Farhana Hasan
Primary tumors of the omentum are one of the rare causes of large intra-abdominal masses and contribute to a limited number of reported cases in the medical literature. Here, we report a case of a male child with complaints of dull abdominal pain, suspected to be a giant omental lipoma radiologically, which was confirmed on histopathology after a complete surgical resection. The case highlights the importance of various radiological modalities for the diagnosis of omental lipomas and their importance in pre-operative workup to rule out malignant pathologies, and for better anatomical characterization of the lesion for assistance in surgical planning.
网膜原发性肿瘤是导致腹腔内巨大肿块的罕见原因之一,在医学文献中报告的病例数量有限。在此,我们报告了一例主诉腹部钝痛的男性儿童病例,该病例经放射学检查被怀疑为巨大网膜脂肪瘤,在完全手术切除后经组织病理学检查得到证实。该病例强调了各种放射学模式对网膜脂肪瘤诊断的重要性,以及它们在术前检查中排除恶性病变的重要性,并有助于更好地确定病变的解剖特征,以帮助制定手术计划。
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引用次数: 0
Double aortic arch: A rare case of dysphagia 双主动脉弓吞咽困难的罕见病例
Pub Date : 2024-03-03 DOI: 10.25259/fh_8_2024
Archit Dikshit, Samir Patel, Milin Garachh, Dinesh Patel, Saurabh Deshpande
Double aortic arch (DAA) is a rare cause of esophageal compression. We present a case of a seven-month-old male infant who presented with complaints of dysphagia and wheezing during crying. Computed tomography angiography (CTA) revealed a co-dominant double aortic arch forming a complete vascular ring around the trachea, causing its mild compression. Posteriorly, the aortic arch was seen, causing severe compression of the esophagus. The patient underwent double aortic arch repair and had an uneventful post-operative course, with resolution of the dysphagia.
双主动脉弓(DAA)是导致食管受压的罕见原因。我们报告了一例七个月大的男婴,他主诉吞咽困难和哭闹时喘息。计算机断层扫描血管造影术(CTA)显示,双主动脉弓共存,在气管周围形成一个完整的血管环,导致气管轻度受压。后方可见主动脉弓,导致食管严重受压。患者接受了双主动脉弓修补术,术后恢复顺利,吞咽困难也得到了缓解。
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引用次数: 0
Azygous anterior cerebral artery thrombosis causing bifrontal infarcts with abnormal behavior 颧部大脑前动脉血栓形成导致行为异常的双额叶脑梗塞
Pub Date : 2024-03-03 DOI: 10.25259/fh_2_2024
Amit Kumar Paliwal, Avinash Mishra
Azygous anterior cerebral artery (AACA) is a rare anatomical variant and its occlusion may cause bifrontal infarct with variable neurological deficit and clinical presentation. In our case AACA thrombotic occlusion caused bifrontal infarcts leading to abnormal behavior. Early imaging with CT angiography or MRI with MRA is the key for early diagnosis and prompt management.
大脑颧前动脉(AACA)是一种罕见的解剖变异,其闭塞可导致双额叶脑梗塞,并伴有不同的神经功能缺损和临床表现。在我们的病例中,AACA 血栓性闭塞导致双额叶脑梗塞,导致行为异常。通过 CT 血管造影或 MRI 与 MRA 进行早期成像是早期诊断和及时治疗的关键。
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引用次数: 0
Multidetector computerized tomography in diagnosis and preoperative workup of fetus in fetu: A case series 多载体计算机断层扫描在胎儿诊断和术前检查中的应用:病例系列
Pub Date : 2024-03-03 DOI: 10.25259/fh_1_2024
Amit Nandan Dhar Dwivedi, Prashant Nath Gupta
Fetus in fetu is a rare disorder with a reported incidence of 1 in 500,000 live births, with only 78 cases reported so far. The most common presentation is abdominal mass in a newborn or infant; however, presentation in later life is also possible. Early detection is by ultrasonography. Computerized tomography is rarely used. However, computerized tomography gives an excellent overview of anatomical information and its exact relation with the surrounding viscera. The present case series is an attempt to highlight the role of cross-sectional imaging in the pre- and post-operative management of this rare disorder.
胎儿畸形是一种罕见的疾病,据报道发病率为每 50 万活产婴儿中 1 例,迄今为止仅有 78 例报道。最常见的表现是新生儿或婴儿腹部肿块,但也可能在晚期出现。早期发现的方法是超声波检查。很少使用计算机断层扫描。不过,计算机断层扫描能很好地概括解剖信息及其与周围内脏的确切关系。本病例系列试图强调横断面成像在这种罕见疾病的术前和术后管理中的作用。
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引用次数: 0
Evaluating the role of artificial intelligence in automated image analysis for x-ray radiography 评估人工智能在 X 射线放射摄影自动图像分析中的作用
Pub Date : 2024-03-03 DOI: 10.25259/fh_14_2024
Dheeraj Kumar, Shailendra Kumar Diwakar, Shubham Gupta
This article intends to assess how artificial intelligence (AI) affects the automation of X-ray radiography image processing. The field of medical imaging has seen considerable potential in the use of AI algorithms to improve diagnostic precision, streamline procedures, and streamline workflow. The paper explores how AI is currently being used to automate image processing for X-ray radiography, outlining its possible benefits, difficulties, and hopes for the future. According to the results, AI has the potential to revolutionize radiography by helping radiologists evaluate images, locate anomalies, and do quantitative analysis. This discovery may result in important improvements in healthcare. To determine the clinical value and safety of AI-driven solutions, it is necessary to carry out more research and validation. In conclusion, this analysis highlights AI’s critical role in automating image processing for X-ray radiography and demonstrates how it has the potential to completely transform the industry. To guarantee the dependability and efficacy of AI-based techniques in clinical practice, however, continual research and validation are crucial.
本文旨在评估人工智能(AI)如何影响 X 射线放射图像处理的自动化。医学影像领域在使用人工智能算法提高诊断精度、简化程序和简化工作流程方面已经看到了相当大的潜力。本文探讨了目前如何将人工智能用于 X 射线放射影像处理自动化,概述了其可能带来的好处、困难和对未来的希望。研究结果表明,人工智能有可能通过帮助放射科医生评估图像、定位异常和进行定量分析来彻底改变放射学。这一发现可能会给医疗保健带来重大改进。为了确定人工智能驱动解决方案的临床价值和安全性,有必要开展更多的研究和验证。总之,本分析报告强调了人工智能在 X 射线放射影像处理自动化方面的关键作用,并展示了人工智能如何具有彻底改变该行业的潜力。然而,要保证基于人工智能的技术在临床实践中的可靠性和有效性,持续的研究和验证至关重要。
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引用次数: 0
Role of MRI in diagnosis of atypical Parkinsonian syndrome: A case series with brief review of literature 磁共振成像在诊断非典型帕金森综合征中的作用:病例系列及文献简评
Pub Date : 2024-03-03 DOI: 10.25259/fh_5_2024
Yada Varun Tej, Harsha Surana, Meenakshi Ahuja, Abhinav C Bhagat, Jitendra Sharma
We describe three cases of patients with atypical Parkinsonian syndrome (APS), who presented with gait disturbance, postural instability, decreasing facial expression, dyskinesia, and subjective cognitive impairment. The patients underwent magnetic resonance imaging (MRI) Brain for differential diagnosis of APS. MRI made it possible to offer a suggestive diagnosis and determine individual strategic management for patients with APS.
我们描述了三例非典型帕金森综合征(APS)患者,他们表现为步态障碍、姿势不稳、面部表情减少、运动障碍和主观认知障碍。这些患者接受了磁共振成像(MRI)脑部检查,以鉴别诊断帕金森综合征。核磁共振成像为 APS 患者提供了提示性诊断并确定了个性化的策略管理。
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引用次数: 0
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Future Health
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