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  1. Article: Visualisation Approaches in Technology-Enhanced Medical Simulation Learning: Current Evidence and Future Directions.

    Dawidziuk, Aleksander / Miller, George / Malawana, Johann

    Advances in experimental medicine and biology

    2023  Volume 1421, Page(s) 175–190

    Abstract: Technology-enhanced learning (TEL) has been proposed as an approach to minimise the healthcare workforce shortage preventing universal healthcare coverage. Simulation-based medical education is a well-established teaching method. Little is known about ... ...

    Abstract Technology-enhanced learning (TEL) has been proposed as an approach to minimise the healthcare workforce shortage preventing universal healthcare coverage. Simulation-based medical education is a well-established teaching method. Little is known about effective strategies to translate in-person medical simulation teaching into a virtual world. This work aimed to review the literature on approaches to visualisation in technology-enhanced medical simulation. A systematic search strategy was optimised using three databases: Embase, MEDLINE, and APA PsycInfo. Additional papers were identified through cross-referencing. The last date of this search was 3 January 2022. The articles were analysed qualitatively. The risk of bias was assessed using ROBINS-I and RoB 2 tools. The search yielded 656 results with 9 additional papers identified through cross-referencing. Following deduplication and exclusions, 23 articles were included in a qualitative synthesis of evidence. Offline and online computer-based modules with virtual patient cases or practical skills simulations were identified as the most prevalent clinical simulation teaching modalities. Visualisation approaches included text, images, animations, videos, and 3D environments. Significant heterogeneity of study designs with a moderate risk of bias was established. Based on the current data, the virtual patient scenarios should use natural language input interfaces enriched with video and voice recordings, 3D animations, and short text descriptions to make the patient management experience more lifelike and increase knowledge retention. However, there is no agreed framework for assessing the pedagogical value of these innovations. High-quality randomised controlled trials of TEL-based clinical simulation are essential to advance the field.
    MeSH term(s) Humans ; Computer Simulation ; Health Personnel/education ; Education, Medical ; Learning ; Computers
    Language English
    Publishing date 2023-07-31
    Publishing country United States
    Document type Review ; Journal Article
    ZDB-ID 410187-X
    ISSN 0065-2598
    ISSN 0065-2598
    DOI 10.1007/978-3-031-30379-1_8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Preparing medical students for global challenges beyond COVID-19.

    Dawidziuk, Aleksander / Gandhewar, Rishikesh

    Health science reports

    2020  Volume 3, Issue 2, Page(s) e162

    Keywords covid19
    Language English
    Publishing date 2020-04-23
    Publishing country United States
    Document type Journal Article
    ISSN 2398-8835
    ISSN (online) 2398-8835
    DOI 10.1002/hsr2.162
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Preparing medical students for global challenges beyond COVID‐19

    Aleksander Dawidziuk / Rishikesh Gandhewar

    Health Science Reports, Vol 3, Iss 2, Pp n/a-n/a (2020)

    2020  

    Keywords Medicine ; R ; covid19
    Language English
    Publishing date 2020-06-01T00:00:00Z
    Publisher Wiley
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Artificial intelligence in the detection, characterisation and prediction of hepatocellular carcinoma: a narrative review.

    Kawka, Michal / Dawidziuk, Aleksander / Jiao, Long R / Gall, Tamara M H

    Translational gastroenterology and hepatology

    2022  Volume 7, Page(s) 41

    Abstract: Hepatocellular carcinoma (HCC) is a significant cause of morbidity and mortality worldwide. Despite significant advancements in detection and treatment of HCC, its management remains a challenge. Artificial intelligence (AI) has played a role in medicine ...

    Abstract Hepatocellular carcinoma (HCC) is a significant cause of morbidity and mortality worldwide. Despite significant advancements in detection and treatment of HCC, its management remains a challenge. Artificial intelligence (AI) has played a role in medicine for several decades, however, clinically applicable AI-driven solutions have only started to emerge, due to gradual improvement in sensitivity and specificity of AI, and implementation of convoluted neural networks. A review of the existing literature has been conducted to determine the role of AI in HCC, and three main domains were identified in the search: detection, characterisation and prediction. Implementation of AI models into detection of HCC has immense potential, as AI excels at analysis and integration of large datasets. The use of biomarkers, with the rise of '-omics', can revolutionise the detection of HCC. Tumour characterisation (differentiation between benign masses, HCC, and other malignant tumours, as well as staging and grading) using AI was shown to be superior to classical statistical methods, based on radiological and pathological images. Finally, AI solutions for predicting treatment outcomes and survival emerged in recent years with the potential to shape future HCC guidelines. These AI algorithms based on a combination of clinical data and imaging-extracted features can also support clinical decision making, especially treatment choice. However, AI research on HCC has several limitations, hindering its clinical adoption; small sample size, single-centre data collection, lack of collaboration and transparency, lack of external validation, and model overfitting all results in low generalisability of the results that currently exist. AI has potential to revolutionise detection, characterisation and prediction of HCC, however, for AI solutions to reach widespread clinical adoption, interdisciplinary collaboration is needed, to foster an environment in which AI solutions can be further improved, validated and included in treatment algorithms. In conclusion, AI has a multifaceted role in HCC across all aspects of the disease and its importance can increase in the near future, as more sophisticated technologies emerge.
    Language English
    Publishing date 2022-10-25
    Publishing country China
    Document type Journal Article ; Review
    ISSN 2415-1289
    ISSN (online) 2415-1289
    DOI 10.21037/tgh-20-242
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Preparing medical students for global challenges beyond COVID ‐19

    Dawidziuk, Aleksander / Gandhewar, Rishikesh

    Health Science Reports

    2020  Volume 3, Issue 2

    Keywords covid19
    Language English
    Publisher Wiley
    Publishing country us
    Document type Article ; Online
    ISSN 2398-8835
    DOI 10.1002/hsr2.162
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Global Access to Technology-Enhanced Medical Education During the COVID-19 Pandemic: The Role of Students in Narrowing the Gap.

    Dawidziuk, Aleksander / Kawka, Michal / Szyszka, Bartosz / Wadunde, Ignatius / Ghimire, Aastha

    Global health, science and practice

    2021  Volume 9, Issue 1, Page(s) 10–14

    MeSH term(s) COVID-19 ; Communicable Disease Control ; Developing Countries ; Education, Distance ; Education, Medical ; Global Health ; Humans ; International Cooperation ; Internet ; Learning ; Pandemics ; SARS-CoV-2 ; Students, Medical ; Teaching ; Technology
    Language English
    Publishing date 2021-03-31
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2710875-2
    ISSN 2169-575X ; 2169-575X
    ISSN (online) 2169-575X
    ISSN 2169-575X
    DOI 10.9745/GHSP-D-20-00455
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Early Years Research Elective: Changing Perspectives and Dealing with Uncertainty.

    Dawidziuk, Aleksander / Gandhewar, Rishikesh / Kulkarni, Yash

    Journal of medical education and curricular development

    2020  Volume 7, Page(s) 2382120520965999

    Abstract: Uncertainty is ever-present within the medical profession. To effectively manage uncertainty, future doctors must develop key competencies including resilience, creativity and adaptability along with the capacity for collaboration and embracing ... ...

    Abstract Uncertainty is ever-present within the medical profession. To effectively manage uncertainty, future doctors must develop key competencies including resilience, creativity and adaptability along with the capacity for collaboration and embracing multiculturalism. The authors believe that attending an overseas clinical research placement as a junior medical student can benefit medical education by offering an early opportunity to develop these qualities. These views are supported by reflections on a clinical research module and placement in Guangzhou, China completed by the authors during the second year of medical school and aims to highlight key learning opportunities.
    Keywords covid19
    Language English
    Publishing date 2020-11-02
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2798123-X
    ISSN 2382-1205
    ISSN 2382-1205
    DOI 10.1177/2382120520965999
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Early Years Research Elective

    Aleksander Dawidziuk / Rishikesh Gandhewar / Yash Kulkarni

    Journal of Medical Education and Curricular Development, Vol

    Changing Perspectives and Dealing with Uncertainty

    2020  Volume 7

    Abstract: Uncertainty is ever-present within the medical profession. To effectively manage uncertainty, future doctors must develop key competencies including resilience, creativity and adaptability along with the capacity for collaboration and embracing ... ...

    Abstract Uncertainty is ever-present within the medical profession. To effectively manage uncertainty, future doctors must develop key competencies including resilience, creativity and adaptability along with the capacity for collaboration and embracing multiculturalism. The authors believe that attending an overseas clinical research placement as a junior medical student can benefit medical education by offering an early opportunity to develop these qualities. These views are supported by reflections on a clinical research module and placement in Guangzhou, China completed by the authors during the second year of medical school and aims to highlight key learning opportunities.
    Keywords Special aspects of education ; LC8-6691 ; Medicine (General) ; R5-920
    Language English
    Publishing date 2020-10-01T00:00:00Z
    Publisher SAGE Publishing
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article: Systematic review of combined functional near-infrared spectroscopy and transcranial direct-current stimulation studies.

    Patel, Ronak / Dawidziuk, Aleksander / Darzi, Ara / Singh, Harsimrat / Leff, Daniel Richard

    Neurophotonics

    2020  Volume 7, Issue 2, Page(s) 20901

    Abstract: Significance: ...

    Abstract Significance:
    Language English
    Publishing date 2020-06-25
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 2781943-7
    ISSN 2329-4248 ; 2329-423X
    ISSN (online) 2329-4248
    ISSN 2329-423X
    DOI 10.1117/1.NPh.7.2.020901
    Database MEDical Literature Analysis and Retrieval System OnLINE

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