OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

On the ethics of algorithmic decision-making in healthcare
Thomas Grote, Philipp Berens
Journal of Medical Ethics (2019) Vol. 46, Iss. 3, pp. 205-211
Open Access | Times Cited: 364

Showing 1-25 of 364 citing articles:

Explainability for artificial intelligence in healthcare: a multidisciplinary perspective
Julia Amann, Alessandro Blasimme, Effy Vayena, et al.
BMC Medical Informatics and Decision Making (2020) Vol. 20, Iss. 1
Open Access | Times Cited: 1080

Chatbot for Health Care and Oncology Applications Using Artificial Intelligence and Machine Learning: Systematic Review
Lu Xu, Leslie Sanders, Kay Li, et al.
JMIR Cancer (2021) Vol. 7, Iss. 4, pp. e27850-e27850
Open Access | Times Cited: 344

Who is afraid of black box algorithms? On the epistemological and ethical basis of trust in medical AI
Juan M. Durán, Karin Jongsma
Journal of Medical Ethics (2021), pp. medethics-106820
Open Access | Times Cited: 300

The Lancet and Financial Times Commission on governing health futures 2030: growing up in a digital world
Ilona Kickbusch, Dario Piselli, Anurag Agrawal, et al.
The Lancet (2021) Vol. 398, Iss. 10312, pp. 1727-1776
Open Access | Times Cited: 253

Blood‐based biomarkers for Alzheimer's disease
Antoine Leuzy, Niklas Mattsson, Sebastian Palmqvist, et al.
EMBO Molecular Medicine (2021) Vol. 14, Iss. 1
Open Access | Times Cited: 223

The ethics of algorithms: key problems and solutions
Andreas Tsamados, Nikita Aggarwal, Josh Cowls, et al.
AI & Society (2021) Vol. 37, Iss. 1, pp. 215-230
Open Access | Times Cited: 219

Ethics and governance of trustworthy medical artificial intelligence
Jie Zhang, Zongming Zhang
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 205

Explainable, trustworthy, and ethical machine learning for healthcare: A survey
Khansa Rasheed, Adnan Qayyum, Mohammed Ghaly, et al.
Computers in Biology and Medicine (2022) Vol. 149, pp. 106043-106043
Open Access | Times Cited: 185

Ethical and regulatory challenges of AI technologies in healthcare: A narrative review
Ciro Mennella, Umberto Maniscalco, Giuseppe De Pietro, et al.
Heliyon (2024) Vol. 10, Iss. 4, pp. e26297-e26297
Open Access | Times Cited: 173

Limits of trust in medical AI
Joshua Hatherley
Journal of Medical Ethics (2020) Vol. 46, Iss. 7, pp. 478-481
Closed Access | Times Cited: 160

Trust and medical AI: the challenges we face and the expertise needed to overcome them
Thomas P. Quinn, Manisha Senadeera, Stephan Jacobs, et al.
Journal of the American Medical Informatics Association (2020) Vol. 28, Iss. 4, pp. 890-894
Open Access | Times Cited: 155

The ethical issues of the application of artificial intelligence in healthcare: a systematic scoping review
Golnar Karimian, Elena Petelos, Silvia M. A. A. Evers
AI and Ethics (2022) Vol. 2, Iss. 4, pp. 539-551
Open Access | Times Cited: 145

The three ghosts of medical AI: Can the black-box present deliver?
Thomas P. Quinn, Stephan Jacobs, Manisha Senadeera, et al.
Artificial Intelligence in Medicine (2021) Vol. 124, pp. 102158-102158
Open Access | Times Cited: 142

The impact of artificial intelligence on the person-centred, doctor-patient relationship: some problems and solutions
Aurelia Sauerbrei, Angeliki Kerasidou, Federica Lucivero, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 111

Beyond bias and discrimination: redefining the AI ethics principle of fairness in healthcare machine-learning algorithms
Benedetta Giovanola, Simona Tiribelli
AI & Society (2022) Vol. 38, Iss. 2, pp. 549-563
Open Access | Times Cited: 96

The Ethics of Artificial Intelligence
Luciano Floridi
Oxford University Press eBooks (2023)
Closed Access | Times Cited: 95

A Survey of Algorithmic Recourse: Contrastive Explanations and Consequential Recommendations
Amir-Hossein Karimi, Gilles Barthe, Bernhard Schölkopf, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 5, pp. 1-29
Open Access | Times Cited: 82

Artificial intelligence and the doctor–patient relationship expanding the paradigm of shared decision making
Giorgia Lorenzini, Laura Arbelaez Ossa, David Shaw, et al.
Bioethics (2023) Vol. 37, Iss. 5, pp. 424-429
Open Access | Times Cited: 65

Is AI the Future of Mental Healthcare?
Francesca Minerva, Alberto Giubilini
Topoi (2023) Vol. 42, Iss. 3, pp. 809-817
Open Access | Times Cited: 59

Challenges of artificial intelligence in medicine and dermatology
Andrzej Grzybowski, Kai Jin, Hongkang Wu
Clinics in Dermatology (2024) Vol. 42, Iss. 3, pp. 210-215
Closed Access | Times Cited: 48

Testimonial injustice in medical machine learning
Giorgia Pozzi
Journal of Medical Ethics (2023) Vol. 49, Iss. 8, pp. 536-540
Open Access | Times Cited: 43

A comprehensive overview of barriers and strategies for AI implementation in healthcare: Mixed-method design
Monika Nair, Petra Svedberg, Ingrid Larsson, et al.
PLoS ONE (2024) Vol. 19, Iss. 8, pp. e0305949-e0305949
Open Access | Times Cited: 25

The ethics of ChatGPT in medicine and healthcare: a systematic review on Large Language Models (LLMs)
Joschka Haltaufderheide, Robert Ranisch
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 24

What Are Humans Doing in the Loop? Co-Reasoning and Practical Judgment When Using Machine Learning-Driven Decision Aids
Sabine Salloch, Andreas Eriksen
The American Journal of Bioethics (2024) Vol. 24, Iss. 9, pp. 67-78
Open Access | Times Cited: 22

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