نتائج البحث - "Gerke, Sara"

المصدر: Gerke, Sara and Babic, Boris and Evgeniou, Theodoros and Cohen, Glenn (2020) The need for a system view to regulate artificial intelligence/machine learning-based software as medical device. Nature Digital Medicine.

وصف الملف: text

الوصول الحر: http://philsci-archive.pitt.edu/18795Test/

View record in University of Pittsburgh

4

دورية أكاديمية

Algorithms on Regulatory Lockdown in Medicine

المؤلفون: Babic, Boris, Gerke, Sara, Evgeniou, Theodoros, Cohen, Glenn

المصدر: Babic, Boris and Gerke, Sara and Evgeniou, Theodoros and Cohen, Glenn (2019) Algorithms on Regulatory Lockdown in Medicine. Science.

وصف الملف: text

الوصول الحر: http://philsci-archive.pitt.edu/18796Test/

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5

دورية أكاديمية

Mitigating Racial Bias in Machine Learning

المؤلفون: Kostick-Quenet, Kristin M., Cohen, I. Glenn, Gerke, Sara, Lo, Bernard, Antaki, James, Movahedi, Faezah, Njah, Hasna, Schoen, Lauren, Estep, Jerry E., Blumenthal-Barby, J. S.

المصدر: Faculty Scholarly Works

مصطلحات موضوعية: Algorithmic Bias, Racial Bias, Machine Learning, Artificial Intelligence, Ethics, Law, Medical Jurisprudence, Science and Technology Law

العلاقة: https://ideas.dickinsonlaw.psu.edu/fac-works/296Test; https://www.cambridge.org/core/journals/journal-of-law-medicine-and-ethics/article/mitigating-racial-bias-in-machine-learning/325C9BF492331B16EFC154996BE0394FTest

الإتاحة: https://doi.org/10.1017/jme.2022.13Test
https://ideas.dickinsonlaw.psu.edu/fac-works/296Test
https://www.cambridge.org/core/journals/journal-of-law-medicine-and-ethics/article/mitigating-racial-bias-in-machine-learning/325C9BF492331B16EFC154996BE0394FTest

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6

دورية أكاديمية

Health AI for Good Rather Than Evil? The Need for a New Regulatory Framework for AI-Based Medical Devices

المؤلفون: Gerke, Sara

المصدر: Faculty Scholarly Works

مصطلحات موضوعية: Artificial intelligence, machine learning, medical devices, FDA law, safety and effectiveness, clinical decision support software, 510(k), Pre-Cert Program, black-box AI/ML models, clinical trials, adaptive algorithms, update problem, system view, Law, Medical Jurisprudence, Science and Technology Law

وصف الملف: application/pdf

العلاقة: https://ideas.dickinsonlaw.psu.edu/fac-works/284Test; https://ideas.dickinsonlaw.psu.edu/context/fac-works/article/1286/viewcontent/SSRN_id4070947__1_.pdfTest

الإتاحة: https://ideas.dickinsonlaw.psu.edu/fac-works/284Test
https://ideas.dickinsonlaw.psu.edu/context/fac-works/article/1286/viewcontent/SSRN_id4070947__1_.pdfTest

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7

دورية أكاديمية

Regulatory Responses to Medical Machine Learning

المؤلفون: Minssen, Timo, Gerke, Sara, Aboy, Mateo, Price, Nicholson, Cohen, Glenn

المصدر: Faculty Scholarly Works

مصطلحات موضوعية: Medical Machine Learning, Machine Learning, Medical Device Regulation, Artificial Intelligence and Robotics, Computer Sciences, Medicine and Health Sciences

العلاقة: https://ideas.dickinsonlaw.psu.edu/fac-works/305Test; https://academic.oup.com/jlb/article/7/1/lsaa002/5817484Test

الإتاحة: https://doi.org/10.1093/JLB/LSAA002Test
https://ideas.dickinsonlaw.psu.edu/fac-works/305Test
https://academic.oup.com/jlb/article/7/1/lsaa002/5817484Test

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8

دورية أكاديمية

How AI can learn from the law: putting humans in the loop only on appeal.

المؤلفون: Cohen, I. Glenn, Babic, Boris, Gerke, Sara, Xia, Qiong, Evgeniou, Theodoros, Wertenbroch, Klaus

المصدر: NPJ Digital Medicine; 8/25/2023, Vol. 6 Issue 1, p1-4, 4p

مصطلحات موضوعية: HUMAN rights, JUDGMENT (Psychology), ARTIFICIAL intelligence, MACHINE learning, PATIENT readmissions, DECISION making, LEGAL procedure, ALGORITHMS, SOCIAL psychology, FEDERAL government

النص الكامل

9

دورية

When Machine Learning Goes Off the Rails.

المؤلفون: BABIC, BORIS, COHEN, I. GLENN, EVGENIOU, THEODOROS, GERKE, SARA

المصدر: Harvard Business Review; Wintert2021 Special issue, p132-138, 7p, 1 Color Photograph

مصطلحات موضوعية: MACHINE learning, RISK management in business, ARTIFICIAL intelligence & ethics, DECISION making, HUMAN-artificial intelligence interaction, ARTIFICIAL intelligence software

10

دورية أكاديمية

AI in the hands of imperfect users.

المؤلفون: Kostick-Quenet, Kristin M., Gerke, Sara

المصدر: NPJ Digital Medicine; 12/28/2022, Vol. 5 Issue 1, p1-6, 6p

مصطلحات موضوعية: OCCUPATIONAL roles, USER interfaces, ARTIFICIAL intelligence, MACHINE learning, UNCERTAINTY, AUTOMATION, DECISION making in clinical medicine, ALGORITHMS

النص الكامل

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