Publications by authors named "Uma Ramesh"

Purpose: Upper airway stimulation (UAS) is a treatment option for moderate-to-severe OSA, in which electrical stimulation is applied to the hypoglossal nerve via an electrode cuff. In this study, we assess the effect of electrode cuff positioning on UAS outcomes, in particular device adherence.

Methods: Patients at a single academic institution who met the Food and Drug Administration criteria for UAS between 2016 and 2021 were included.

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Objective: This study aimed to assess reporting quality of machine learning (ML) algorithms in the head and neck oncology literature using the TRIPOD-AI criteria.

Data Sources: A comprehensive search was conducted using PubMed, Scopus, Embase, and Cochrane Database of Systematic Reviews, incorporating search terms related to "artificial intelligence," "machine learning," "deep learning," "neural network," and various head and neck neoplasms.

Review Methods: Two independent reviewers analyzed each published study for adherence to the 65-point TRIPOD-AI criteria.

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Cutaneous squamous cell carcinoma (cSCC) is one of the most common cancers worldwide, with an incidence that has increased over the past 30 years. Although usually curable with excision, cSCC can become widely metastatic and aggressive with poor outcomes. Whereas the clinical and radiographic extent of any cancer will always guide selection of treatment modality, pathological features of cSCC also play an important role in determining prognosis and, subsequently, the need for further therapy.

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Background: Sinonasal NUT carcinoma is an extremely rare, lethal malignancy with limited literature.

Methods: A case series was conduction of all patients with sinonasal NUT carcinoma at a single institution between 2010 and 2022. Survival and associated were evaluated.

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Skin cancer is the most common cancer diagnosis in the United States, with approximately one in five Americans expected to be diagnosed within their lifetime. Non-melanoma skin cancer is the most prevalent type of skin cancer, and as cases rise globally, physicians need reliable tools for early detection. Artificial intelligence has gained substantial interest as a decision support tool in medicine, particularly in image analysis, where deep learning has proven to be an effective tool.

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Article Synopsis
  • Tumor cells in basal and squamous cell carcinoma (BCC and SCC) interact with both cellular and acellular components in their environment, which helps them grow and spread.
  • These interactions create an immunosuppressed environment by decreasing the activity of essential immune cells and promoting certain cytokines that support tumor growth.
  • Recent research into these interactions has led to immunotherapy treatments like vismodegib for BCC and cemiplimab for SCC, though there’s potential for discovering even more effective treatments through continued study of the tumor microenvironment.
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Objective: There have been no long-term studies on trends in antibiotic resistance (ABR) on a national scale in India. Using a private laboratory network, the ABR patterns of organisms most commonly associated with bacteremia, obtained from patients across India between 2008 and 2014, were examined.

Methods: A retrospective study of patient blood cultures collected over a 7-year period (January 1, 2008-December 31, 2014) was conducted.

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