Legal and Ethical Concerns of Big Data

Paulson, Shirley; Scruth, Elizabeth

doi:10.1097/nur.0000000000000315

Cited by 10 publications

(4 citation statements)

References 8 publications

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“…Small data sets generated by insufficient sample sizes reduce the accuracy of a model's prediction and increase the risk of overfitting. [67][68][69] Therefore, many problems and challenges in radiomics must be addressed. Firstly, because of the semi-automatic or manual delineation of ROI, there are subjective differences.…”

Section: Resultsmentioning

confidence: 99%

<p>Application of Radiomics for Personalized Treatment of Cancer Patients</p>

Meng¹,

Sun²,

Qu³

et al. 2019

CMAR

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Radiomics is a novel concept that relies on obtaining image data from examinations such as computed tomography (CT), magnetic resonance imaging (MRI), or positron emission tomography (PET). With the appropriate algorithm, the extracted results have broad applicability and potential for a massive positive impact in radiology. For example, clinicians can verify treatment efficiency, predict the location of tumor metastasis, correlate results with a histopathological examination, or more accurately define the type of cancer. Combining radiomics with other testing techniques allows every patient to have a personalized treatment plan that is essential for advanced examination and treatment. This article explains the process of radiomics, including data collection mechanisms, combined use with genomics, and artificial intelligence and immunology techniques, which may solve many of the challenges faced by doctors in diagnosing and treating their patients.

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Section: Resultsmentioning

confidence: 99%

<p>Application of Radiomics for Personalized Treatment of Cancer Patients</p>

Meng¹,

Sun²,

Qu³

et al. 2019

CMAR

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“…The 'big data' demands of the systems result in complex ethical considerations [16]. Regulatory bodies worldwide must develop suitable control measures and guidelines.…”

Section: Opening Statementmentioning

confidence: 99%

“…A hotly debated ethical question is the responsibility in case of misdiagnosis done by an AI system. The question is whether AI should be used as a system on its own or should it be a tool used by physicians, where responsibility lies with the physicians themselves [16].…”

Section: Opening Statementmentioning

confidence: 99%

Artificial intelligence (AI) will enable improved diagnosis and treatment outcomes

2021

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“…According to the authors, future investigations in order to analyze this issue should change perspective and look beyond patients-related factors ( 9 ). The importance of big data to support randomized trials and meta-analyses has been recently reinforced ( 10 , 11 ).…”

Section: Introductionmentioning

confidence: 99%

2017–2018 Assisted Reproduction Cost Analysis Performance Indexes: Lombardy County Case Study

Levi-Setti

Busnelli

Bodina

et al. 2021

Front. Reprod. Health

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Objective: The aim of the present study was to analyze the IVF success rates and the economic cost per delivery in all the public funded IVF Units in Lombardy in the 2017–2018 period and to assess any significant difference in ART outcomes among the enrolled centers.Methods: Analysis of costs for the 2017 and 2018 fresh transfer delivery rate (DR) and Cumulative delivery rate (CDR) considering both fresh and frozen cycles were extracted from the ART Italian Registry on oocytes retrievals, fresh and frozen embryos and oocytes embryo transfer performed in 22 Lombardy IVF Units.Results: In 2017, 29,718 procedures were performed, resulting in 4,543 pregnancies and 3,253 deliveries. In 2018, there were 29,708 procedures, 4,665 pregnancies and 3,348 deliveries. Pregnancies lost to follow up were 5.0% with a (range of 0–67.68%) in 2017 and 3.4% (range of 0–45.1%) in 2018. The cost reimbursement for the cycles were €2,232 ($2,611) for oocyte retrieval and €2,194 ($2,567) for embryo transfer, excluding ovarian stimulation therapy and luteal phase support. 19.33 (5.80). The DR was 13.23 ± 5.69% (range 2.86–29.11%) in 2017 and 19.33 ± 5.80% in 2018 (range 11.82–34.98 %) and the CDR was 19.86 ± 9.38% (range 4.43–37.88%) in 2017 and 21.32 ± 8.84% (range 4.24–37.11%). The mean multiple pregnancy delivery rate (MDR) was 11.08 ± 5.55% (range 0.00–22.73%) in 2017 and 10.41 ± 4.99% (range 1.33–22.22%) in 2018. The mean CDR cost in euros was 26,227 ± 14,737 in 2017 and 25,018 ± 16,039 in 2018. The mean CDR cost among centers was 12,480 to 76,725 in 2017 and 12,973 to 86,203 in 2018.Conclusions: Our findings show impressive differences in the DR and CDR among centers and the importance of cryopreservation in patients' safety and economic cost reduction suggesting the formulation of specific KPI's (Key performance indexes) and minimal performance indexes (PI) as a basis for the allocation of public or insurance resources. In particular, the reduction of multiple pregnancy rates costs, may lead to a more widespread use of ART even in lower resources countries.

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Legal and Ethical Concerns of Big Data

Cited by 10 publications

References 8 publications

<p>Application of Radiomics for Personalized Treatment of Cancer Patients</p>

<p>Application of Radiomics for Personalized Treatment of Cancer Patients</p>

Artificial intelligence (AI) will enable improved diagnosis and treatment outcomes

2017–2018 Assisted Reproduction Cost Analysis Performance Indexes: Lombardy County Case Study

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