Charles E Binkley (Charles Binkley)

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 10

Top Topics

Pluripotent Stem Cells

Respiratory Syndrome Coronavirus

Machine Learning

Top Venues

The American journal of bioethics : AJOB

IEEE transactions on technology and society

The New England journal of medicine

This page only lists publications with an associated author ORCID identifier.

Publications

Bryan C Pilkington, Jack Noto, Daniel Silverstein, Charles E Binkley
Respecting the Value-Laden Nature of Participant Preferences: AI, Digital Phenotyping, and Psychiatry. The American journal of bioethics : AJOB 24 (2) (2024)
Bryan C Pilkington, Jack Noto, Daniel Silverstein, Charles E Binkley
Respecting the Value-Laden Nature of Participant Preferences: AI, Digital Phenotyping, and Psychiatry. The American journal of bioethics : AJOB 24 (2) (2024)
Anita Ho, Jad Brake, Amitabha Palmer, Charles E Binkley
A Holistic, Multi-Level, and Integrative Ethical Approach to Developing Machine Learning-Driven Decision Aids. The American journal of bioethics : AJOB 24 (9) (2024)
Charles E Binkley, Bryan C Pilkington
The Actionless Agent: An Account of Human-CAI Relationships. The American journal of bioethics : AJOB 23 (5) (2023)
Charles E Binkley, Bryan C Pilkington
Informed Consent for Clinician-AI Collaboration and Patient Data Sharing: Substantive, Illusory, or Both. The American journal of bioethics : AJOB 23 (10) (2023)
Charles E Binkley, Bryan C Pilkington
The Actionless Agent: An Account of Human-CAI Relationships. The American journal of bioethics : AJOB 23 (5) (2023)
Charles E Binkley, Joel Michael Reynolds, Andrew Shuman
From the Eyeball Test to the Algorithm - Quality of Life, Disability Status, and Clinical Decision Making in Surgery. The New England journal of medicine 387 (14) (2022)
Himanshi Allahabadi, Julia Amann, Isabelle Balot, Andrea Beretta, Charles E Binkley, Jonas Bozenhard, Frederick Bruneault, James Brusseau, Sema Candemir, Luca Alessandro Cappellini, Subrata Chakraborty, Nicoleta Cherciu, Christina Cociancig, Megan P Coffee, Irene Ek, Leonardo Espinosa-Leal, Davide Farina, Genevieve Fieux-Castagnet, Thomas Frauenfelder, Alessio Gallucci, Guya Giuliani, Adam Golda, Irmhild van Halem, Elisabeth Hildt, Sune Holm, Georgios Kararigas, Sebastien A Krier, Ulrich Kuhne, Francesca Lizzi, Vince I Madai, Aniek F Markus, Serg Masis, Emilie Wiinblad Mathez, Francesco Mureddu, Emanuele Neri, Walter Osika, Matiss Ozols, Cecilia Panigutti, Brendan Parent, Francesca Pratesi, Pedro A Moreno-Sanchez, Giovanni Sartor, Mattia Savardi, Alberto Signoroni, Hanna-Maria Sormunen, Andy Spezzatti, Adarsh Srivastava, Annette F Stephansen, Bee Theng Lau, Jesmin Jahan Tithi, Jarno Tuominen, Steven Umbrello, Filippo Vaccher, Dennis Vetter, Magnus Westerlund, Renee Wurth, Roberto V Zicari
Assessing Trustworthy AI in Times of COVID-19: Deep Learning for Predicting a Multiregional Score Conveying the Degree of Lung Compromise in COVID-19 Patients. IEEE transactions on technology and society 3 (4) (2022)
Himanshi Allahabadi, Julia Amann, Isabelle Balot, Andrea Beretta, Charles E Binkley, Jonas Bozenhard, Frederick Bruneault, James Brusseau, Sema Candemir, Luca Alessandro Cappellini, Subrata Chakraborty, Nicoleta Cherciu, Christina Cociancig, Megan P Coffee, Irene Ek, Leonardo Espinosa-Leal, Davide Farina, Genevieve Fieux-Castagnet, Thomas Frauenfelder, Alessio Gallucci, Guya Giuliani, Adam Golda, Irmhild van Halem, Elisabeth Hildt, Sune Holm, Georgios Kararigas, Sebastien A Krier, Ulrich Kuhne, Francesca Lizzi, Vince I Madai, Aniek F Markus, Serg Masis, Emilie Wiinblad Mathez, Francesco Mureddu, Emanuele Neri, Walter Osika, Matiss Ozols, Cecilia Panigutti, Brendan Parent, Francesca Pratesi, Pedro A Moreno-Sanchez, Giovanni Sartor, Mattia Savardi, Alberto Signoroni, Hanna-Maria Sormunen, Andy Spezzatti, Adarsh Srivastava, Annette F Stephansen, Bee Theng Lau, Jesmin Jahan Tithi, Jarno Tuominen, Steven Umbrello, Filippo Vaccher, Dennis Vetter, Magnus Westerlund, Renee Wurth, Roberto V Zicari
Assessing Trustworthy AI in Times of COVID-19: Deep Learning for Predicting a Multiregional Score Conveying the Degree of Lung Compromise in COVID-19 Patients. IEEE transactions on technology and society 3 (4) (2022)
Joel Michael Reynolds, Charles E Binkley, Andrew G Shuman
The Complex Relationship between Disability Discrimination and Frailty Scores. The American journal of bioethics : AJOB 21 (11) (2021)