Publications by authors named "Bhatt Vivek"

Accurate image interpretation is essential in the field of radiology to the healthcare team in order to provide optimal patient care. This article discusses the use of artificial intelligence (AI) confidence levels to enhance the accuracy and dependability of its radiological diagnoses. The current advances in AI technologies have changed how radiologists and clinicians make the diagnoses of pathological conditions such as aneurysms, hemorrhages, pneumothorax, pneumoperitoneum, and particularly fractures.

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  • Tuberculosis (TB) is a complex infection that can affect any part of the body, with many people unknowingly carrying it in a latent form, and there's an increasing number of abdominal TB cases.
  • Diagnosis is challenging due to overlapping symptoms with other conditions, especially in immunocompromised individuals, making early detection difficult.
  • A case study of a 71-year-old woman illustrates the difficulties in diagnosing peritoneal tuberculosis, which was mistaken for peritoneal carcinomatosis, highlighting the need for increased awareness and scrutiny in similar cases.
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  • The integration of artificial intelligence (AI) in healthcare, particularly in radiology, has led to improved efficiency, diagnostic accuracy, and patient care, while also presenting new challenges.
  • Despite the potential benefits of AI in diagnosing conditions like intracranial hemorrhage and spinal fractures, limitations such as data imbalances and algorithm transparency hinder its widespread implementation.
  • Addressing these limitations is crucial for maximizing AI's advantages in emergency radiology and ensuring patient safety.
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Plasmablastic lymphoma (PBL) is a rare and aggressive type of lymphoma, particularly affecting HIV-positive and immunocompromised individuals, with a median diagnosis age of 49 years. Cases of this malignancy in HIV-negative individuals are less common and rarely involve the bone marrow. While traditional chemotherapy regimens such as cyclophosphamide, doxorubicin, vincristine, and prednisolone (CHOP) were previously utilized in the management of such malignancy, the National Comprehensive Cancer Network currently recommends more intensive approaches.

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Cystadenofibromas (CAF) and adenofibromas (AF) are rare benign gynecologic neoplasms of epithelial origin. They can be composed predominantly of solid fibrous tissue, adenofibromas, or contain cystic components, as seen in cystadenofibromas; which can be further classified by their epithelial cell type (serous, mucinous, etc.).

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This study explores the experiences of professionals who worked with care home residents with impaired mental capacity in England and Wales during the COVID-19 pandemic. It explores (i) how competing risks were balanced and (ii) how the Mental Capacity Act (MCA) functioned in care homes under pandemic conditions, with particular focus on its associated Deprivations of Liberty Safeguards (DoLS) and Independent Mental Capacity Advocacy (IMCA) systems. Between March and May 2021, we held an online survey and five focus groups aimed at professionals who worked in or with care homes during the pandemic.

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In their discussion paper of November 2020, Cook present a draft protocol for navigating circumstances in which emergency services are overwhelmed. Their paper suggests that COVID-related triage decisions should be based on clinical assessment, patient and family consultation, and a range of ethical considerations. In this response, we note that the protocol exhibits an ambiguity that is likely to result in irresolvable dilemmas when put into practice.

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Objectives: Patients discharged from the emergency department (ED) are often referred for primary care, specialty, or other disease-specific follow-up appointments. Attendance at these scheduled follow-up appointments has been found to improve patient outcomes, decrease ED bounce-backs, and reduce malpractice risk. Reasons for missing follow-up visits are complex, but the most commonly reason cited by patients is simply forgetting.

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Cardiac hemangiomas are rare tumors, accounting for only 2.8% of all benign primary cardiac tumors and occur at any age. Clinical presentations vary depending on the tumor location (myocardial, endocardial or pericardial).

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