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  1. Article ; Online: The Fundamental Attribution Error in Dermatology.

    Patel, Raj H / Pixley, Jessica N / Feldman, Steven R

    Journal of cutaneous medicine and surgery

    2024  Volume 28, Issue 2, Page(s) 195–196

    MeSH term(s) Humans ; Dermatology ; Social Perception
    Language English
    Publishing date 2024-01-28
    Publishing country United States
    Document type Letter
    ZDB-ID 1361720-5
    ISSN 1615-7109 ; 1203-4754
    ISSN (online) 1615-7109
    ISSN 1203-4754
    DOI 10.1177/12034754241227632
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Clinical outcomes and prognosis of patients with HIV and SARS-CoV-2 coinfection.

    Patel, Raj H

    Journal of medical virology

    2020  Volume 93, Issue 1, Page(s) 105–106

    MeSH term(s) COVID-19 ; Coinfection ; HIV Infections/complications ; Humans ; Prognosis ; SARS-CoV-2
    Keywords covid19
    Language English
    Publishing date 2020-06-29
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 752392-0
    ISSN 1096-9071 ; 0146-6615
    ISSN (online) 1096-9071
    ISSN 0146-6615
    DOI 10.1002/jmv.26177
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Clinical outcomes and prognosis of patients with HIV and SARS‐CoV‐2 coinfection

    Patel, Raj H.

    Journal of Medical Virology ; ISSN 0146-6615 1096-9071

    2020  

    Keywords Virology ; Infectious Diseases ; covid19
    Language English
    Publisher Wiley
    Publishing country us
    Document type Article ; Online
    DOI 10.1002/jmv.26177
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article: Papuloerythroderma of Ofuji in a Young Man.

    Patel, Raj H / Fagan, Kiley / Chitnavis, Padma V / Grider, Douglas

    Cureus

    2023  Volume 15, Issue 3, Page(s) e36598

    Abstract: Papuloerythroderma of Ofuji (PEO) is a rare skin disorder characterized by a distinctive pattern of pruritic, flat-topped, erythematous papules which coalesce into an erythroderma-like eruption with classic sparing of the skin folds. Although the ... ...

    Abstract Papuloerythroderma of Ofuji (PEO) is a rare skin disorder characterized by a distinctive pattern of pruritic, flat-topped, erythematous papules which coalesce into an erythroderma-like eruption with classic sparing of the skin folds. Although the pathogenesis of this condition is incompletely understood, previous reports have suggested a notable link between PEO and various forms of malignancy and immunocompromised states. Here, we report a case of a healthy young male with no comorbidities who presented with the classical features of PEO that responded well to combination therapy comprised of topical corticosteroids and phototherapy.
    Language English
    Publishing date 2023-03-23
    Publishing country United States
    Document type Case Reports
    ZDB-ID 2747273-5
    ISSN 2168-8184
    ISSN 2168-8184
    DOI 10.7759/cureus.36598
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Clinical Outcomes and Prognosis of Patients with HIV and SARS-CoV-2 Co-infection

    Patel, Raj H

    J. med. virol

    Abstract: Dear Editor, I read with interest the review, "Living with HIV in the time of COVID-19: a glimpse of hope" by Adadi et al. published in the Journal of Medical Virology. However, I believe that the conclusions made within this article should be taken with ...

    Abstract Dear Editor, I read with interest the review, "Living with HIV in the time of COVID-19: a glimpse of hope" by Adadi et al. published in the Journal of Medical Virology. However, I believe that the conclusions made within this article should be taken with caution as the outcomes of patients co-infected with HIV and SARS-CoV-2 are not definitive and evidence regarding this matter is constantly evolving. This article is protected by copyright. All rights reserved.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #32542652
    Database COVID19

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  6. Article ; Online: COVID-19 in a patient with HIV infection.

    Patel, Raj H / Pella, Pablo M

    Journal of medical virology

    2020  Volume 92, Issue 11, Page(s) 2356–2357

    MeSH term(s) Anti-HIV Agents/therapeutic use ; COVID-19/diagnosis ; COVID-19/virology ; Coinfection/virology ; Convalescence ; HIV Infections/complications ; HIV Infections/drug therapy ; Humans ; Male ; Middle Aged
    Chemical Substances Anti-HIV Agents
    Keywords covid19
    Language English
    Publishing date 2020-06-03
    Publishing country United States
    Document type Case Reports ; Letter
    ZDB-ID 752392-0
    ISSN 1096-9071 ; 0146-6615
    ISSN (online) 1096-9071
    ISSN 0146-6615
    DOI 10.1002/jmv.26049
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Childhood caries and dental surgery under general anesthesia: an overview of a global disease and its impact on anesthesiology.

    Patel, Shiragi / Fantauzzi, Andrés J / Patel, Raj / Buscemi, Joanna / Lee, Helen H

    International anesthesiology clinics

    2022  Volume 61, Issue 1, Page(s) 21–25

    MeSH term(s) Child ; Humans ; Anesthesiology ; Anesthesia, General
    Language English
    Publishing date 2022-11-17
    Publishing country United States
    Document type Journal Article
    ZDB-ID 210757-0
    ISSN 1537-1913 ; 0020-5907
    ISSN (online) 1537-1913
    ISSN 0020-5907
    DOI 10.1097/AIA.0000000000000385
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Analysis of Artificial Intelligence-Based Approaches Applied to Non-Invasive Imaging for Early Detection of Melanoma: A Systematic Review.

    Patel, Raj H / Foltz, Emilie A / Witkowski, Alexander / Ludzik, Joanna

    Cancers

    2023  Volume 15, Issue 19

    Abstract: Background: Melanoma, the deadliest form of skin cancer, poses a significant public health challenge worldwide. Early detection is crucial for improved patient outcomes. Non-invasive skin imaging techniques allow for improved diagnostic accuracy; ... ...

    Abstract Background: Melanoma, the deadliest form of skin cancer, poses a significant public health challenge worldwide. Early detection is crucial for improved patient outcomes. Non-invasive skin imaging techniques allow for improved diagnostic accuracy; however, their use is often limited due to the need for skilled practitioners trained to interpret images in a standardized fashion. Recent innovations in artificial intelligence (AI)-based techniques for skin lesion image interpretation show potential for the use of AI in the early detection of melanoma.
    Objective: The aim of this study was to evaluate the current state of AI-based techniques used in combination with non-invasive diagnostic imaging modalities including reflectance confocal microscopy (RCM), optical coherence tomography (OCT), and dermoscopy. We also aimed to determine whether the application of AI-based techniques can lead to improved diagnostic accuracy of melanoma.
    Methods: A systematic search was conducted via the Medline/PubMed, Cochrane, and Embase databases for eligible publications between 2018 and 2022. Screening methods adhered to the 2020 version of the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Included studies utilized AI-based algorithms for melanoma detection and directly addressed the review objectives.
    Results: We retrieved 40 papers amongst the three databases. All studies directly comparing the performance of AI-based techniques with dermatologists reported the superior or equivalent performance of AI-based techniques in improving the detection of melanoma. In studies directly comparing algorithm performance on dermoscopy images to dermatologists, AI-based algorithms achieved a higher ROC (>80%) in the detection of melanoma. In these comparative studies using dermoscopic images, the mean algorithm sensitivity was 83.01% and the mean algorithm specificity was 85.58%. Studies evaluating machine learning in conjunction with OCT boasted accuracy of 95%, while studies evaluating RCM reported a mean accuracy rate of 82.72%.
    Conclusions: Our results demonstrate the robust potential of AI-based techniques to improve diagnostic accuracy and patient outcomes through the early identification of melanoma. Further studies are needed to assess the generalizability of these AI-based techniques across different populations and skin types, improve standardization in image processing, and further compare the performance of AI-based techniques with board-certified dermatologists to evaluate clinical applicability.
    Language English
    Publishing date 2023-09-23
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2527080-1
    ISSN 2072-6694
    ISSN 2072-6694
    DOI 10.3390/cancers15194694
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: COVID‐19 in a patient with HIV infection

    Patel, Raj H. / Pella, Pablo M.

    Journal of Medical Virology

    2020  Volume 92, Issue 11, Page(s) 2356–2357

    Keywords Virology ; Infectious Diseases ; covid19
    Language English
    Publisher Wiley
    Publishing country us
    Document type Article ; Online
    ZDB-ID 752392-0
    ISSN 1096-9071 ; 0146-6615
    ISSN (online) 1096-9071
    ISSN 0146-6615
    DOI 10.1002/jmv.26049
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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