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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:

Are current clinical studies on artificial intelligence-based medical devices comprehensive enough to support a full health technology assessment? A systematic review
Line Farah, Julie Davaze-Schneider, Tess Martin, et al.
Artificial Intelligence in Medicine (2023) Vol. 140, pp. 102547-102547
Open Access | Times Cited: 22

Showing 22 citing articles:

INTEGRATING ARTIFICIAL INTELLIGENCE AND BIG DATA IN MOBILE HEALTH: A SYSTEMATIC REVIEW OF INNOVATIONS AND CHALLENGES IN HEALTHCARE SYSTEMS

Deleted Journal (2024) Vol. 3, Iss. 1, pp. 1-16
Open Access | Times Cited: 37
Digital technologies to unlock safe and sustainable opportunities for medical device and healthcare sectors with a focus on the combined use of digital twin and extended reality applications: A review
Neil J. Rowan
The Science of The Total Environment (2024) Vol. 926, pp. 171672-171672
Open Access | Times Cited: 12
Suitability of the Current Health Technology Assessment of Innovative Artificial Intelligence-Based Medical Devices: Scoping Literature Review
Line Farah, Isabelle Borget, Nicolas Martelli, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e51514-e51514
Open Access | Times Cited: 7
Basic principles of artificial intelligence in dermatology explained using melanoma
Tim Hartmann, Johannes Passauer, Julien Hartmann, et al.
JDDG Journal der Deutschen Dermatologischen Gesellschaft (2024) Vol. 22, Iss. 3, pp. 339-347
Open Access | Times Cited: 5
Artificial intelligence and emergency services: We need to take a step forward
Rafael Castro Delgado, Manuel Pardo Ríos
Emergencias (2024)
Open Access | Times Cited: 3
Are the European reference networks for rare diseases ready to embrace machine learning? A mixed-methods study
Георги Искров, Ralitsa Raycheva, Костадин Костадинов, et al.
Orphanet Journal of Rare Diseases (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 3
Artificial intelligence for breast cancer detection and its health technology assessment: A scoping review
Anisie Uwimana, Giorgio Gnecco, Massimo Riccaboni
Computers in Biology and Medicine (2024) Vol. 184, pp. 109391-109391
Open Access | Times Cited: 2
Health technology assessment framework for artificial intelligence-based technologies
Rossella Di Bidino, Signe Daugbjerg, Sara Consilia Papavero, et al.
International Journal of Technology Assessment in Health Care (2024) Vol. 40, Iss. 1
Closed Access | Times Cited: 2
ESR Essentials: how to get to valuable radiology AI: the role of early health technology assessment—practice recommendations by the European Society of Medical Imaging Informatics
Erik Kemper, H. Erenstein, Bart-Jan Boverhof, et al.
European Radiology (2024)
Open Access | Times Cited: 2
Broadening the HTA of medical AI: A review of the literature to inform a tailored approach
Bart-Jan Boverhof, Ken Redekop, Jacob J. Visser, et al.
Health Policy and Technology (2024) Vol. 13, Iss. 2, pp. 100868-100868
Open Access | Times Cited: 1
AI for IMPACTS Framework for Evaluating the Long-term Real-world Impacts of AI-powered Clinician Tools: Systematic Review and Narrative Synthesis (Preprint)
Christine Jacob, Noé Brasier, Emanuele Laurenzi, et al.
Journal of Medical Internet Research (2024) Vol. 27, pp. e67485-e67485
Open Access | Times Cited: 1
Ethics of artificial intelligence in supportive care in cancer
Ian Olver
The Medical Journal of Australia (2024) Vol. 220, Iss. 10, pp. 499-501
Closed Access
AI for IMPACTS: A Comprehensive Framework for Evaluating the Long-term Real-world Impacts of AI-powered Clinician Tools (Preprint)
Christine Jacob, Noé Brasier, Emanuele Laurenzi, et al.
(2024)
Open Access
Is health technology assessment ready for generative pretrained transformer large language models? Report of a fishbowl inquiry
Clifford Goodman, Ellie Treloar
International Journal of Technology Assessment in Health Care (2024) Vol. 40, Iss. 1
Closed Access
Artificial Intelligence Transparency and Explainability in Sustainable Healthcare
Wasswa Shafik, Rubee Singh, Vikas Kumar
Approaches to global sustainability, markets, and governance (2024), pp. 165-191
Closed Access
Grundprinzipien der künstlichen Intelligenz in der Dermatologie erklärt am Beispiel des Melanoms
Tim Hartmann, Johannes Passauer, Julien Hartmann, et al.
JDDG Journal der Deutschen Dermatologischen Gesellschaft (2024) Vol. 22, Iss. 3, pp. 339-349
Open Access
Artificial intelligence in melanoma diagnosis: Three scenarios, shifts in competencies, need for regulation, and reconciling dissent between humans and AI
Jan C. Zoellick, Hans Drexler, Konstantin Drexler
TATuP - Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis (2024) Vol. 33, Iss. 1, pp. 48-54
Open Access
AI for decision support: What are possible futures, social impacts, regulatory options, ethical conundrums and agency constellations?
Diana Schneider, Karsten Weber
TATuP - Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis (2024) Vol. 33, Iss. 1, pp. 8-54
Open Access


Deleted Journal (2024) Vol. 3, Iss. 1
Open Access
Regulatory Challenges in AI/ML-Enabled Medical Devices: A Scoping Review and Conceptual Framework
Sanju Kaladharan, Dhanya Manayath, Rejikumar Gopalakrishnan
Journal of Medical Devices (2024) Vol. 18, Iss. 4
Closed Access
International Market Access Strategies for Artificial Intelligence–Based Medical Devices: Can We Standardize the Process to Faster Patient Access?
Line Farah, Isabelle Borget, Nicolas Martelli
Mayo Clinic Proceedings Digital Health (2023) Vol. 1, Iss. 3, pp. 406-412
Open Access | Times Cited: 1
Suitability of the Current Health Technology Assessment of Innovative Artificial Intelligence-Based Medical Devices: Scoping Literature Review (Preprint)
Line Farah, Isabelle Borget, Nicolas Martelli, et al.
(2023)
Open Access
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