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  1. Article: Imaging Spectrum in Coronavirus Disease-2019: What Every Nuclear Medicine Physician Must Know?

    D'Souza, Maria Mathew / Sharma, Rajnish / Jaimini, Abhinav

    Indian journal of nuclear medicine : IJNM : the official journal of the Society of Nuclear Medicine, India

    2020  Volume 35, Issue 3, Page(s) 274–275

    Keywords covid19
    Language English
    Publishing date 2020-07-01
    Publishing country India
    Document type Journal Article
    ZDB-ID 2181722-4
    ISSN 0974-0244 ; 0972-3919
    ISSN (online) 0974-0244
    ISSN 0972-3919
    DOI 10.4103/ijnm.IJNM_96_20
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Superconductor based ternary periodic multilayered structure as a single and multichanneled filter in the terahertz region.

    D'souza, Nirmala Maria / Mathew, Vincent

    Applied optics

    2017  Volume 56, Issue 24, Page(s) 6765–6769

    Abstract: A single as well as a multichanneled filter in the terahertz region has been proposed by designing a one-dimensional photonic crystal (PhC) structure using a high-temperature superconductor air-dielectric ternary periodic structure. The filter is ... ...

    Abstract A single as well as a multichanneled filter in the terahertz region has been proposed by designing a one-dimensional photonic crystal (PhC) structure using a high-temperature superconductor air-dielectric ternary periodic structure. The filter is designed without incorporating any defect, which has rarely been proposed in a ternary PhC structure. The theoretical study of transmittance was performed by applying the transfer matrix method. The transition from single channel to desired multichannel is achieved by adjusting the number of periods. Furthermore, the impact of the thicknesses and dielectric constants of the constituting layers was investigated. In addition to this, the tunability is achieved by the influence of temperature-dependent dielectric constant of the superconductor.
    Language English
    Publishing date 2017-08-20
    Publishing country United States
    Document type Journal Article
    ISSN 1539-4522
    ISSN (online) 1539-4522
    DOI 10.1364/AO.56.006765
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: ChatGPT: A new horizon at the intersect of human and artificial intelligence in academic psychiatry.

    Franco D'Souza, Russell / Amanullah, Shabbir / Mathew, Mary / Tandon, Rajiv / Surapaneni, Krishna Mohan

    Bipolar disorders

    2024  

    Language English
    Publishing date 2024-04-19
    Publishing country Denmark
    Document type Journal Article
    ZDB-ID 1472242-2
    ISSN 1399-5618 ; 1398-5647
    ISSN (online) 1399-5618
    ISSN 1398-5647
    DOI 10.1111/bdi.13441
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 5604: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  4. Article ; Online: Tunable filter using ferroelectric-dielectric periodic multilayer.

    D'souza, Nirmala Maria / Mathew, Vincent

    Applied optics

    2015  Volume 54, Issue 9, Page(s) 2187–2192

    Abstract: The microwave optical properties of a photonic crystal-based tunable single and multichannel filter are theoretically investigated using the transfer matrix method, finite difference time domain method, and the plane wave expansion method. By applying an ...

    Abstract The microwave optical properties of a photonic crystal-based tunable single and multichannel filter are theoretically investigated using the transfer matrix method, finite difference time domain method, and the plane wave expansion method. By applying an external voltage of 8  V/micron about a 35% frequency tuning is obtained. It is found that the number of transmission peaks is directly proportional to the number of periods (N). In addition to this, the dependence of layer thicknesses, angle of incidence and polarization are also analyzed, and it is noticed that the filtering frequency is invariant in angle and polarization.
    Language English
    Publishing date 2015-03-20
    Publishing country United States
    Document type Journal Article
    ISSN 1539-4522
    ISSN (online) 1539-4522
    DOI 10.1364/AO.54.002187
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Twelve tips for addressing ethical concerns in the implementation of artificial intelligence in medical education.

    Franco D'Souza, Russell / Mathew, Mary / Mishra, Vedprakash / Surapaneni, Krishna Mohan

    Medical education online

    2024  Volume 29, Issue 1, Page(s) 2330250

    Abstract: Artificial Intelligence (AI) holds immense potential for revolutionizing medical education and healthcare. Despite its proven benefits, the full integration of AI faces hurdles, with ethical concerns standing out as a key obstacle. Thus, educators should ...

    Abstract Artificial Intelligence (AI) holds immense potential for revolutionizing medical education and healthcare. Despite its proven benefits, the full integration of AI faces hurdles, with ethical concerns standing out as a key obstacle. Thus, educators should be equipped to address the ethical issues that arise and ensure the seamless integration and sustainability of AI-based interventions. This article presents twelve essential tips for addressing the major ethical concerns in the use of AI in medical education. These include emphasizing transparency, addressing bias, validating content, prioritizing data protection, obtaining informed consent, fostering collaboration, training educators, empowering students, regularly monitoring, establishing accountability, adhering to standard guidelines, and forming an ethics committee to address the issues that arise in the implementation of AI. By adhering to these tips, medical educators and other stakeholders can foster a responsible and ethical integration of AI in medical education, ensuring its long-term success and positive impact.
    MeSH term(s) Humans ; Artificial Intelligence ; Education, Medical ; Social Responsibility ; Students
    Language English
    Publishing date 2024-04-03
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 2052877-2
    ISSN 1087-2981 ; 1087-2981
    ISSN (online) 1087-2981
    ISSN 1087-2981
    DOI 10.1080/10872981.2024.2330250
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Intense

    Goel, Taruna / D'souza, Maria Mathew / Haldar, Arunava / Ezung, Sulomo Ejanbemo / Sharma, Rajnish

    Indian journal of nuclear medicine : IJNM : the official journal of the Society of Nuclear Medicine, India

    2016  Volume 32, Issue 1, Page(s) 83–84

    Language English
    Publishing date 2016-08-17
    Publishing country India
    Document type Journal Article
    ZDB-ID 2181722-4
    ISSN 0974-0244 ; 0972-3919
    ISSN (online) 0974-0244
    ISSN 0972-3919
    DOI 10.4103/0972-3919.198515
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Appraising the performance of ChatGPT in psychiatry using 100 clinical case vignettes.

    Franco D'Souza, Russell / Amanullah, Shabbir / Mathew, Mary / Surapaneni, Krishna Mohan

    Asian journal of psychiatry

    2023  Volume 89, Page(s) 103770

    Abstract: ... There were no responses which were graded "D" indicating that there were no errors in the diagnosis or ...

    Abstract Background: ChatGPT has emerged as the most advanced and rapidly developing large language chatbot system. With its immense potential ranging from answering a simple query to cracking highly competitive medical exams, ChatGPT continues to impress the scientists and researchers worldwide giving room for more discussions regarding its utility in various fields. One such field of attention is Psychiatry. With suboptimal diagnosis and treatment, assuring mental health and well-being is a challenge in many countries, particularly developing nations. To this regard, we conducted an evaluation to assess the performance of ChatGPT 3.5 in Psychiatry using clinical cases to provide evidence-based information regarding the implication of ChatGPT 3.5 in enhancing mental health and well-being.
    Methods: ChatGPT 3.5 was used in this experimental study to initiate the conversations and collect responses to clinical vignettes in Psychiatry. Using 100 clinical case vignettes, the replies were assessed by expert faculties from the Department of Psychiatry. There were 100 different psychiatric illnesses represented in the cases. We recorded and assessed the initial ChatGPT 3.5 responses. The evaluation was conducted using the objective of questions that were put forth at the conclusion of the case, and the aim of the questions was divided into 10 categories. The grading was completed by taking the mean value of the scores provided by the evaluators. Graphs and tables were used to represent the grades.
    Results: The evaluation report suggests that ChatGPT 3.5 fared extremely well in Psychiatry by receiving "Grade A" ratings in 61 out of 100 cases, "Grade B" ratings in 31, and "Grade C" ratings in 8. Majority of the queries were concerned with the management strategies, which were followed by diagnosis, differential diagnosis, assessment, investigation, counselling, clinical reasoning, ethical reasoning, prognosis, and request acceptance. ChatGPT 3.5 performed extremely well, especially in generating management strategies followed by diagnoses for different psychiatric conditions. There were no responses which were graded "D" indicating that there were no errors in the diagnosis or response for clinical care. Only a few discrepancies and additional details were missed in a few responses that received a "Grade C" CONCLUSION: It is evident from our study that ChatGPT 3.5 has appreciable knowledge and interpretation skills in Psychiatry. Thus, ChatGPT 3.5 undoubtedly has the potential to transform the field of Medicine and we emphasize its utility in Psychiatry through the finding of our study. However, for any AI model to be successful, assuring the reliability, validation of information, proper guidelines and implementation framework are necessary.
    MeSH term(s) Humans ; Reproducibility of Results ; Psychiatry ; Diagnosis, Differential ; Mental Disorders/diagnosis ; Mental Disorders/drug therapy ; Communication
    Language English
    Publishing date 2023-09-20
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2456678-0
    ISSN 1876-2026 ; 1876-2018
    ISSN (online) 1876-2026
    ISSN 1876-2018
    DOI 10.1016/j.ajp.2023.103770
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Mycosis fungoides: Positron emission tomography/computed tomography in staging and monitoring the effect of therapy.

    D'Souza, Maria Mathew / D'Souza, Paschal / Sharma, Rajnish / Jaimini, Abhinav / Mondal, Anupam

    Indian journal of nuclear medicine : IJNM : the official journal of the Society of Nuclear Medicine, India

    2014  Volume 30, Issue 2, Page(s) 165–167

    Abstract: A 58-year-old woman, diagnosed as a case of mycosis fungoides (MF), underwent [18F]-fluoro-D ...

    Abstract A 58-year-old woman, diagnosed as a case of mycosis fungoides (MF), underwent [18F]-fluoro-D-glucose positron emission tomography/computed tomography (FDG PET/CT) examination. The study revealed intense FDG uptake in a large ulceroproliferative right thigh lesion, indurated plaques in the chest wall and left thigh, along with multiple sites of cutaneous involvement, axillary and inguinal lymphadenopathy. The patient underwent chemotherapy with CHOP regimen, radiotherapy for the right thigh lesion, along with topical corticosteroids and emollients for the disseminated cutaneous involvement. Repeat [18F]-FDG PET/CT study performed a year later, showed near complete disease regression specifically of the ulceroproliferative lesion and indurated cutaneous plaques, no change in lymphadenopathy, and a subtle diffuse progression of the remaining cutaneous lesions. A multidisciplinary approach to the diagnosis, staging and treatment of MF has long been suggested for optimizing outcomes from management of patients with this disease. This case highlights the potential role of incorporating PET/CT as a single modality imaging technique in the staging and assessment of response to therapy.
    Language English
    Publishing date 2014-09-23
    Publishing country India
    Document type Case Reports
    ZDB-ID 2181722-4
    ISSN 0974-0244 ; 0972-3919
    ISSN (online) 0974-0244
    ISSN 0972-3919
    DOI 10.4103/0972-3919.152984
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: (18)F-FDG PET/CT in an unusual case of cardiac plexiform neurofibromatosis.

    D'souza, Maria Mathew / Sondhi, Puneet / D'souza, Paschal / Sharma, Rajnish / Jaimini, Abhinav / Pandey, Santosh / Mondal, Anupam / Tripathi, Rajendra Prashad

    Clinical nuclear medicine

    2015  Volume 40, Issue 6, Page(s) 529–530

    Abstract: Cardiac involvement is rare in neurofibromatosis 1 (NF 1). Very few cases of cardiac masses in this entity have been documented in the world literature. We present the F-FDG PET/CT findings in a rare case of cardiac plexiform neurofibromatosis. ...

    Abstract Cardiac involvement is rare in neurofibromatosis 1 (NF 1). Very few cases of cardiac masses in this entity have been documented in the world literature. We present the F-FDG PET/CT findings in a rare case of cardiac plexiform neurofibromatosis.
    MeSH term(s) Fluorodeoxyglucose F18 ; Heart Neoplasms/diagnostic imaging ; Humans ; Multimodal Imaging ; Neurofibromatosis 1/diagnostic imaging ; Positron-Emission Tomography ; Radiopharmaceuticals ; Tomography, X-Ray Computed
    Chemical Substances Radiopharmaceuticals ; Fluorodeoxyglucose F18 (0Z5B2CJX4D)
    Language English
    Publishing date 2015-06
    Publishing country United States
    Document type Case Reports ; Journal Article
    ZDB-ID 197628-x
    ISSN 1536-0229 ; 0363-9762
    ISSN (online) 1536-0229
    ISSN 0363-9762
    DOI 10.1097/RLU.0000000000000750
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1276: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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