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  1. Article: Response: Commentary: Real-world post-deployment performance of a novel machine learning-based digital health technology for skin lesion assessment and suggestions for post-market surveillance.

    Thomas, Lucy / Hyde, Chris / Mullarkey, Daniel / Greenhagh, Jack / Kalsi, Dilraj / Ko, Justin

    Frontiers in medicine

    2024  Volume 11, Page(s) 1388422

    Language English
    Publishing date 2024-05-02
    Publishing country Switzerland
    Document type Journal Article ; Comment
    ZDB-ID 2775999-4
    ISSN 2296-858X
    ISSN 2296-858X
    DOI 10.3389/fmed.2024.1388422
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Accuracy of an artificial intelligence as a medical device as part of a UK-based skin cancer teledermatology service.

    Marsden, Helen / Kemos, Polychronis / Venzi, Marcello / Noy, Mariana / Maheswaran, Shameera / Francis, Nicholas / Hyde, Christopher / Mullarkey, Daniel / Kalsi, Dilraj / Thomas, Lucy

    Frontiers in medicine

    2024  Volume 11, Page(s) 1302363

    Abstract: Introduction: An artificial intelligence as a medical device (AIaMD), built on convolutional neural networks, has demonstrated high sensitivity for melanoma. To be of clinical value, it needs to safely reduce referral rates. The primary objective of ... ...

    Abstract Introduction: An artificial intelligence as a medical device (AIaMD), built on convolutional neural networks, has demonstrated high sensitivity for melanoma. To be of clinical value, it needs to safely reduce referral rates. The primary objective of this study was to demonstrate that the AIaMD had a higher rate of correctly classifying lesions that did not need to be referred for biopsy or urgent face-to-face dermatologist review, compared to teledermatology standard of care (SoC), while achieving the same sensitivity to detect malignancy. Secondary endpoints included the sensitivity, specificity, positive and negative predictive values, and number needed to biopsy to identify one case of melanoma or squamous cell carcinoma (SCC) by both the AIaMD and SoC.
    Methods: This prospective, single-centre, single-arm, masked, non-inferiority, adaptive, group sequential design trial recruited patients referred to a teledermatology cancer pathway (clinicaltrials.gov NCT04123678). Additional dermoscopic images of each suspicious lesion were taken using a smartphone with a dermoscopic lens attachment. The images were assessed independently by a consultant dermatologist and the AIaMD. The outputs were compared with the final histological or clinical diagnosis.
    Results: A total of 700 patients with 867 lesions were recruited, of which 622 participants with 789 lesions were included in the per-protocol (PP) population. In total, 63.3% of PP participants were female; 89.0% identified as white, and the median age was 51 (range 18-95); and all Fitzpatrick skin types were represented including 25/622 (4.0%) type IV-VI skin. A total of 67 malignant lesions were identified, including 8 diagnosed as melanoma. The AIaMD sensitivity was set at 91 and 92.5%, to match the literature-defined clinician sensitivity (91.46%) as closely as possible. In both settings, the AIaMD identified had a significantly higher rate of identifying lesions that did not need a biopsy or urgent referral compared to SoC (
    Discussion: The AIaMD identified significantly more lesions that did not need to be referred for biopsy or urgent face-to-face dermatologist review, compared to teledermatologists. This has the potential to reduce the burden of unnecessary referrals when used as part of a teledermatology service.
    Language English
    Publishing date 2024-03-22
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2775999-4
    ISSN 2296-858X
    ISSN 2296-858X
    DOI 10.3389/fmed.2024.1302363
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Integrated care through training - joint general practitioner/geriatric trainee clinics.

    Imam, Towhid / Ingram, Owen / Wilson, Tom / Mullarkey, Daniel

    Future healthcare journal

    2019  Volume 6, Issue Suppl 1, Page(s) 157

    Language English
    Publishing date 2019-07-30
    Publishing country England
    Document type Journal Article
    ZDB-ID 3016427-8
    ISSN 2514-6653 ; 2514-6645
    ISSN (online) 2514-6653
    ISSN 2514-6645
    DOI 10.7861/futurehosp.6-1-s157
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Attitudes towards Trusting Artificial Intelligence Insights and Factors to Prevent the Passive Adherence of GPs: A Pilot Study.

    Micocci, Massimo / Borsci, Simone / Thakerar, Viral / Walne, Simon / Manshadi, Yasmine / Edridge, Finlay / Mullarkey, Daniel / Buckle, Peter / Hanna, George B

    Journal of clinical medicine

    2021  Volume 10, Issue 14

    Abstract: Artificial Intelligence (AI) systems could improve system efficiency by supporting clinicians in making appropriate referrals. However, they are imperfect by nature and misdiagnoses, if not correctly identified, can have consequences for patient care. In ...

    Abstract Artificial Intelligence (AI) systems could improve system efficiency by supporting clinicians in making appropriate referrals. However, they are imperfect by nature and misdiagnoses, if not correctly identified, can have consequences for patient care. In this paper, findings from an online survey are presented to understand the aptitude of GPs (
    Language English
    Publishing date 2021-07-14
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662592-1
    ISSN 2077-0383
    ISSN 2077-0383
    DOI 10.3390/jcm10143101
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: A Comparison of Artificial Intelligence and Human Doctors for the Purpose of Triage and Diagnosis.

    Baker, Adam / Perov, Yura / Middleton, Katherine / Baxter, Janie / Mullarkey, Daniel / Sangar, Davinder / Butt, Mobasher / DoRosario, Arnold / Johri, Saurabh

    Frontiers in artificial intelligence

    2020  Volume 3, Page(s) 543405

    Abstract: AI virtual assistants have significant potential to alleviate the pressure on overly burdened healthcare systems by enabling patients to self-assess their symptoms and to seek further care when appropriate. For these systems to make a meaningful ... ...

    Abstract AI virtual assistants have significant potential to alleviate the pressure on overly burdened healthcare systems by enabling patients to self-assess their symptoms and to seek further care when appropriate. For these systems to make a meaningful contribution to healthcare globally, they must be trusted by patients and healthcare professionals alike, and service the needs of patients in diverse regions and segments of the population. We developed an AI virtual assistant which provides patients with triage and diagnostic information. Crucially, the system is based on a generative model, which allows for relatively straightforward re-parameterization to reflect local disease and risk factor burden in diverse regions and population segments. This is an appealing property, particularly when considering the potential of AI systems to improve the provision of healthcare on a global scale in many regions and for both developing and developed countries. We performed a prospective validation study of the accuracy and safety of the AI system and human doctors. Importantly, we assessed the accuracy and safety of both the AI and human doctors independently against identical clinical cases and, unlike previous studies, also accounted for the information gathering process of both agents. Overall, we found that the AI system is able to provide patients with triage and diagnostic information with a level of clinical accuracy and safety comparable to that of human doctors. Through this approach and study, we hope to start building trust in AI-powered systems by directly comparing their performance to human doctors, who do not always agree with each other on the cause of patients' symptoms or the most appropriate triage recommendation.
    Language English
    Publishing date 2020-11-30
    Publishing country Switzerland
    Document type Journal Article
    ISSN 2624-8212
    ISSN (online) 2624-8212
    DOI 10.3389/frai.2020.543405
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Inter-library loan at ZB MED

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  6. Article: On the valuation of uncertainty in welfare analysis

    Chavas, Jean-Paul / Mullarkey, Daniel

    American journal of agricultural economics Vol. 84, No. 1 , p. 23-38

    2002  Volume 84, Issue 1, Page(s) 23–38

    Author's details Jean-Paul Chavas and Daniel Mullarkey
    Keywords Risikopräferenz ; Lernprozess ; Neue politische Ökonomie ; Kosten-Nutzen-Analyse ; Pareto-Optimum ; Theorie ; Entscheidung bei Unsicherheit
    Language English
    Publisher Blackwell
    Publishing place Malden, Mass. [u.a.]
    Document type Article
    ZDB-ID 218188-5
    Database ECONomics Information System

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    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  7. Book ; Audio / Video: Risk management and the environment

    Soule, Meredith J / Nimon, Wesley / Mullarkey, Daniel

    impacts at the intensive and extensive margins

    2001  

    Institution American Agricultural Economics Association. / Meeting
    Author's details Meredith Soule, Wesley Nimon, and Daniel Mullarkey
    Keywords Agriculture/Environmental aspects ; Risk management
    Language English
    Publisher American Agricultural Economics Association
    Publishing place Ames, Iowa
    Document type Book ; Audio / Video
    Note Title from title screen. ; "Paper presented at the annual meeting of the American Agricultural Economics Association, Chicago, IL, August 5-8, 2001."
    Database NAL-Catalogue (AGRICOLA)

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  8. Conference proceedings ; Online: SENSITIVITY TO SCOPE

    Mullarkey, Daniel J. / Bishop, Richard C.

    EVIDENCE FROM A CVM STUDY OF WETLANDS

    1999  

    Abstract: Wetlands valuation is a situation in which CVM studies might be expected to fail scope tests. This paper reports results from a split-sample CVM study of Wisconsin wetlands. The survey employed a multiple-bounded, polychotomous-choice format, and ... ...

    Abstract Wetlands valuation is a situation in which CVM studies might be expected to fail scope tests. This paper reports results from a split-sample CVM study of Wisconsin wetlands. The survey employed a multiple-bounded, polychotomous-choice format, and compared WTP distributions using the method of convolutions. The survey demonstrated sensitivity to scope.
    Keywords Resource /Energy Economics and Policy
    Language English
    Publisher AgEcon Search
    Publishing country us
    Document type Conference proceedings ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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  9. Article ; Online: "Multifunctionality" and Agriculture

    Mullarkey, Daniel J. / Cooper, Joseph C. / Skully, David W.

    Do Mixed Goals Distort Trade?

    2001  

    Keywords Agricultural and Food Policy ; International Relations/Trade
    Language English
    Publishing country us
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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  10. Conference proceedings ; Online: RISK MANAGEMENT AND THE ENVIRONMENT

    Soule, Meredith J. / Nimon, R. Wesley / Mullarkey, Daniel J.

    IMPACTS AT THE INTENSIVE AND EXTENSIVE MARGINS

    2001  

    Abstract: Risk management programs, such as subsidized crop insurance, affect production decisions at both the intensive (input use) and extensive(land use) margins. The production decisions in turn affect the environment. This paper reviews and synthesizes the ... ...

    Abstract Risk management programs, such as subsidized crop insurance, affect production decisions at both the intensive (input use) and extensive(land use) margins. The production decisions in turn affect the environment. This paper reviews and synthesizes the literature linking risk management policies and environmental outcomes and points to future research needs.
    Keywords Risk and Uncertainty
    Language English
    Publisher AgEcon Search
    Publishing country us
    Document type Conference proceedings ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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    Inter-library loan at ZB MED

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