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Human-computer collaboration for skin cancer recognition

Nature medicine, 2020-08, Vol.26 (8), p.1229-1234

2020

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Re-estimation improved the performance of two Framingham cardiovascular risk equations and the Pooled Cohort equations: A nationwide registry analysis

Scientific reports, 2020-05, Vol.10 (1), p.8140-11, Article 8140

2020

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Publisher Correction: Re-estimation improved the performance of two Framingham cardiovascular risk equations and the Pooled Cohort equations: A nationwide registry analysis

Scientific reports, 2020-06, Vol.10 (1), p.10778-10778, Article 10778

2020

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Comparison of convolutional neural network architectures for robustness against common artefacts in dermatoscopic images

Dermatology practical & conceptual, 2022-07, Vol.12 (3), p.e2022126-e2022126

2022

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Utilization of potentially inappropriate medication and risk of adverse drug events among older adults with chronic renal insufficiency: a population-wide cohort study

BMC geriatrics, 2021-02, Vol.21 (1), p.117-11, Article 117

2021

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Towards plug-and-play integration of archetypes into legacy electronic health record systems: the ArchiMed experience

BMC medical informatics and decision making, 2013-01, Vol.13 (1), p.11-11, Article 11

2013

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Expert-Level Diagnosis of Nonpigmented Skin Cancer by Combined Convolutional Neural Networks

JAMA dermatology (Chicago, Ill.), 2019-01, Vol.155 (1), p.58

2019

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Entwicklung eines Lokalisations‐basierten Algorithmus zur Vorhersage der Ätiologie von Ulcera cruris

Journal der Deutschen Dermatologischen Gesellschaft, 2023-11, Vol.21 (11), p.1339-1350

2023

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Langzeitauswertung des Nutzens der digitalen Dermatoskopie an einem Referenzzentrum

Journal der Deutschen Dermatologischen Gesellschaft, 2017-05, Vol.15 (5), p.517

2017

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Analysis of Collective Human Intelligence for Diagnosis of Pigmented Skin Lesions Harnessed by Gamification Via a Web-Based Training Platform: Simulation Reader Study

Journal of medical Internet research, 2020-01, Vol.22 (1), p.e15597

2020

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Bridging the Gap between HL7 CDA and HL7 FHIR: A JSON Based Mapping

Studies in health technology and informatics, 2016, Vol.223, p.100

2016

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Feasibility of Mapping Austrian Health Claims Data to the OMOP Common Data Model

Journal of medical systems, 2019-10, Vol.43 (10), p.314-5, Article 314

2019

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How sick is Austria? - A decision support framework for different evaluations of the burden of disease within the Austrian population based on different data sources

International journal of population data science, 2017-04, Vol.1 (1)

2017

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Interval cancer after colonoscopy in the Austrian National Screening Programme: influence of physician and patient factors

Gut, 2021-07, Vol.70 (7), p.1309

2021

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External validation of two Framingham cardiovascular risk equations and the Pooled Cohort equations: A nationwide registry analysis

International journal of cardiology, 2019-05, Vol.283, p.165-170

2019

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Accuracy of dermatoscopy for the diagnosis of nonpigmented cancers of the skin

Journal of the American Academy of Dermatology, 2017-12, Vol.77 (6), p.1100-1109

2017

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A reinforcement learning model for AI-based decision support in skin cancer

Nature medicine, 2023-08, Vol.29 (8), p.1941-1946

2023

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Langzeitauswertung des Nutzens der digitalen Dermatoskopie an einem Referenzzentrum

Journal der Deutschen Dermatologischen Gesellschaft, 2017-05, Vol.15 (5), p.517-523

2017

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Process Mining and Conformance Checking of Long Running Processes in the Context of Melanoma Surveillance

International journal of environmental research and public health, 2018-12, Vol.15 (12), p.2809

2018

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Validation of artificial intelligence prediction models for skin cancer diagnosis using dermoscopy images: the 2019 International Skin Imaging Collaboration Grand Challenge

The Lancet. Digital health, 2022-05, Vol.4 (5), p.e330-e339

2022

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A Clinical Data Warehouse Based on OMOP and i2b2 for Austrian Health Claims Data

Studies in health technology and informatics, 2018, Vol.248, p.94

2018

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Patient-Sharing Relations in the Treatment of Diabetes and Their Implications for Health Information Exchange: Claims-Based Analysis

JMIR medical informatics, 2019-04, Vol.7 (2), p.e12172-e12172

2019

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Extraction of standardized archetyped data from Electronic Health Record systems based on the Entity-Attribute-Value Model

International journal of medical informatics (Shannon, Ireland), 2010-08, Vol.79 (8), p.585-597

2010

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The role of prescription drugs in female overactive bladder syndrome—A population‐wide cohort study

Pharmacoepidemiology and drug safety, 2020-02, Vol.29 (2), p.189-198

2020

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Human-computer collaboration for skin cancer recognition

Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study

Re-estimation improved the performance of two Framingham cardiovascular risk equations and the Pooled Cohort equations: A nationwide registry analysis

Publisher Correction: Re-estimation improved the performance of two Framingham cardiovascular risk equations and the Pooled Cohort equations: A nationwide registry analysis

Comparison of convolutional neural network architectures for robustness against common artefacts in dermatoscopic images

Utilization of potentially inappropriate medication and risk of adverse drug events among older adults with chronic renal insufficiency: a population-wide cohort study

Towards plug-and-play integration of archetypes into legacy electronic health record systems: the ArchiMed experience

Expert-Level Diagnosis of Nonpigmented Skin Cancer by Combined Convolutional Neural Networks

Entwicklung eines Lokalisations‐basierten Algorithmus zur Vorhersage der Ätiologie von Ulcera cruris

Langzeitauswertung des Nutzens der digitalen Dermatoskopie an einem Referenzzentrum

Analysis of Collective Human Intelligence for Diagnosis of Pigmented Skin Lesions Harnessed by Gamification Via a Web-Based Training Platform: Simulation Reader Study

Bridging the Gap between HL7 CDA and HL7 FHIR: A JSON Based Mapping

Feasibility of Mapping Austrian Health Claims Data to the OMOP Common Data Model

How sick is Austria? - A decision support framework for different evaluations of the burden of disease within the Austrian population based on different data sources

Interval cancer after colonoscopy in the Austrian National Screening Programme: influence of physician and patient factors

External validation of two Framingham cardiovascular risk equations and the Pooled Cohort equations: A nationwide registry analysis

Accuracy of dermatoscopy for the diagnosis of nonpigmented cancers of the skin

A reinforcement learning model for AI-based decision support in skin cancer

Langzeitauswertung des Nutzens der digitalen Dermatoskopie an einem Referenzzentrum

Process Mining and Conformance Checking of Long Running Processes in the Context of Melanoma Surveillance

Validation of artificial intelligence prediction models for skin cancer diagnosis using dermoscopy images: the 2019 International Skin Imaging Collaboration Grand Challenge

A Clinical Data Warehouse Based on OMOP and i2b2 for Austrian Health Claims Data

Patient-Sharing Relations in the Treatment of Diabetes and Their Implications for Health Information Exchange: Claims-Based Analysis

Extraction of standardized archetyped data from Electronic Health Record systems based on the Entity-Attribute-Value Model

The role of prescription drugs in female overactive bladder syndrome—A population‐wide cohort study

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