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  1. Article ; Online: Artificial Intelligence and Chatbots in Psychiatry.

    Pham, Kay T / Nabizadeh, Amir / Selek, Salih

    The Psychiatric quarterly

    2022  Volume 93, Issue 1, Page(s) 249–253

    Abstract: The utilization of artificial intelligence (AI) in psychiatry has risen over the past several years to meet the growing need for improved access to mental health solutions. Additionally, shortages of mental health providers during the COVID-19 pandemic ... ...

    Abstract The utilization of artificial intelligence (AI) in psychiatry has risen over the past several years to meet the growing need for improved access to mental health solutions. Additionally, shortages of mental health providers during the COVID-19 pandemic have continued to exacerbate the burden of mental illness worldwide. AI applications already in existence include those enabled to assist with psychiatric diagnoses, symptom tracking, disease course prediction, and psychoeducation. Modalities of AI mental health care delivery include availability through the internet, smartphone applications, and digital gaming. Here we review emerging AI-based interventions in the form of chat and therapy bots, specifically conversational applications that teach the user emotional coping mechanisms and provide support for people with communication difficulties, computer generated images of faces that form the basis of avatar therapy, and intelligent animal-like robots with new advances in digital psychiatry. We discuss the implications of incorporating AI chatbots into clinical practice and offer perspectives on how these AI-based interventions will further impact the field of psychiatry.
    MeSH term(s) Artificial Intelligence ; COVID-19 ; Humans ; Mental Health ; Pandemics ; Psychiatry
    Language English
    Publishing date 2022-02-25
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 207521-0
    ISSN 1573-6709 ; 0033-2720
    ISSN (online) 1573-6709
    ISSN 0033-2720
    DOI 10.1007/s11126-022-09973-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Ui I Zs.227: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)
    Zs.MA 12: Show issues

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  2. Article ; Online: Usability evaluation of emergency information systems in educational hospitals in Kerman, Iran.

    Behnam, Farzaneh / Khajouei, Reza / Nabizadeh, Amir Hossein / Saedi, Saeed / Ghaemi, Mohammad Mahdi

    BMC medical informatics and decision making

    2023  Volume 23, Issue 1, Page(s) 277

    Abstract: Background: Smart and practical health information systems and applications with fewer errors are crucial for healthcare facilities. One method that ensures the proper design of health information systems (HIS) and applications is usability evaluation.!# ...

    Abstract Background: Smart and practical health information systems and applications with fewer errors are crucial for healthcare facilities. One method that ensures the proper design of health information systems (HIS) and applications is usability evaluation.
    Objective: This study aimed to evaluate the usability of the emergency information systems used at the emergency departments of four educational hospitals in Kerman, Iran.
    Method: This study was conducted in two phases. In the first phase, the information systems' errors and shortages were identified using a semi-structured questionnaire by users (nurses and the IT staff). In the second phase, based on the results of the first phase, two questionnaires were designed for each group of users to their opinions about the usability of the emergency information systems.
    Results: The average score of "reducing and facilitating user's daily activities" was significantly different among hospitals (p = 0.03). Shahid Beheshti Hospital obtained the lowest usability score (17.5), and Afzalipour Hospital received the highest usability score (21.75). Moreover, the average score in "use of the HIS" for nurses and IT staff was 2.93 and 3.54 on a scale of 5, respectively.
    Conclusion: Usability evaluation of health information systems is essential to ensure that these systems provide sufficient and accurate information and requirements for users and health care providers. Also, modifying health information systems based on the user views and expectations improves the quality of the system and user-system Interaction.
    MeSH term(s) Humans ; Iran ; User-Computer Interface ; Information Systems ; Health Information Systems ; Hospitals, Teaching
    Language English
    Publishing date 2023-11-30
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2046490-3
    ISSN 1472-6947 ; 1472-6947
    ISSN (online) 1472-6947
    ISSN 1472-6947
    DOI 10.1186/s12911-023-02357-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Cardinal temperatures and thermal time required for emergence of lenti (Lens culinaris Medik)

    Safahani, Ali reza / Kamakar, Behnam / Nabizadeh, Amir

    Legume research. 2017 Apr., v. 40, no. 2

    2017  

    Abstract: The present study was performed to compare four nonlinear regression models (segmented, beta, beta modified, and dent-like) to describe the emergence rate-temperature relationships of six lentil (Lens culinaris Medik) cultivars at field experiment with a ...

    Abstract The present study was performed to compare four nonlinear regression models (segmented, beta, beta modified, and dent-like) to describe the emergence rate-temperature relationships of six lentil (Lens culinaris Medik) cultivars at field experiment with a range of sowing dates, with the aim of identifying the cardinal temperatures and physiological days (i.e., number of days under optimum temperatures) required for seedling emergence. Models and statistical indices were calibrated using an iterative optimization method and their performance was compared by root mean square error (RMSD), coefficient of determination (R²) and corrected Akaike information criterion correction (AIC). The beta model was found to be the best model for predicting the response of lentil emergence to temperature, (R²= 0.99; RMSD= 0.005; AICc=-232.97). Based on the model outputs, the base, optimum, and maximum temperatures of seedling emergence were 4.5, 22.9, and 40°C, respectively. The Six physiological days (equivalent to a thermal time of 94°C days) were required from sowing to emergence.
    Keywords Lens culinaris ; cultivars ; field experimentation ; information ; lentils ; models ; prediction ; regression analysis ; research ; seedling emergence ; sowing ; system optimization ; temperature
    Language English
    Dates of publication 2017-04
    Size p. 291-298.
    Publishing place Agricultural Research Communication Centre
    Document type Article
    Note NAL-light
    ISSN 0976-0571
    DOI 10.18805/lr.v0i0.7301
    Database NAL-Catalogue (AGRICOLA)

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  4. Article: Cardinal temperatures and thermal time required for emergence of lenti (Lens culinaris Medik)

    Safahani, Ali Reza / Kamkar, Behnam / Nabizadeh, Amir

    Legume research

    2017  Volume 40, Issue 2, Page(s) 291

    Document type Article
    ZDB-ID 407856-1
    ISSN 0250-5371
    Database Current Contents Nutrition, Environment, Agriculture

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    In stock of ZB MED Bonn / Germany

    Z 3393: Show issues

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