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:
Artificial Intelligence and Machine Learning for Safe Medicines
Andrew Bate, Yuan Luo
Drug Safety (2022) Vol. 45, Iss. 5, pp. 403-405
Open Access | Times Cited: 14
Andrew Bate, Yuan Luo
Drug Safety (2022) Vol. 45, Iss. 5, pp. 403-405
Open Access | Times Cited: 14
Showing 14 citing articles:
Development and validation of a machine learning-based detection system to improve precision screening for medication errors in the neonatal intensive care unit
Nadir Yalçın, Merve Kaşıkçı, Hasan Tolga Çelik, et al.
Frontiers in Pharmacology (2023) Vol. 14
Open Access | Times Cited: 17
Nadir Yalçın, Merve Kaşıkçı, Hasan Tolga Çelik, et al.
Frontiers in Pharmacology (2023) Vol. 14
Open Access | Times Cited: 17
Artificial intelligence in pharmacovigilance – Opportunities and challenges
Mira Kirankumar Desai
Perspectives in Clinical Research (2024) Vol. 15, Iss. 3, pp. 116-121
Open Access | Times Cited: 6
Mira Kirankumar Desai
Perspectives in Clinical Research (2024) Vol. 15, Iss. 3, pp. 116-121
Open Access | Times Cited: 6
Artificial intelligence and pharmacovigilance: What is happening, what could happen and what should happen?
Andrew Bate, Jens‐Ulrich Stegmann
Health Policy and Technology (2023) Vol. 12, Iss. 2, pp. 100743-100743
Open Access | Times Cited: 15
Andrew Bate, Jens‐Ulrich Stegmann
Health Policy and Technology (2023) Vol. 12, Iss. 2, pp. 100743-100743
Open Access | Times Cited: 15
An industry perspective on the use of machine learning in drug and vaccine safety
Jeffery L. Painter, Raymond Kassekert, Andrew Bate
Frontiers in Drug Safety and Regulation (2023) Vol. 3
Open Access | Times Cited: 8
Jeffery L. Painter, Raymond Kassekert, Andrew Bate
Frontiers in Drug Safety and Regulation (2023) Vol. 3
Open Access | Times Cited: 8
Evolution of Hybrid Intelligence and Its Application in Evidence-Based Medicine: A Review
Valentina Bellini, Marco Badino, Massimo Maffezzoni, et al.
Medical Science Monitor (2023) Vol. 29
Open Access | Times Cited: 7
Valentina Bellini, Marco Badino, Massimo Maffezzoni, et al.
Medical Science Monitor (2023) Vol. 29
Open Access | Times Cited: 7
Appeal for Increasing the Impact of Pharmacovigilance
A. Kant
Drug Safety (2023) Vol. 47, Iss. 2, pp. 113-116
Open Access | Times Cited: 5
A. Kant
Drug Safety (2023) Vol. 47, Iss. 2, pp. 113-116
Open Access | Times Cited: 5
Enhancing Drug Safety Documentation Search Capabilities with Large Language Models: A User-Centric Approach
Jeffery L. Painter, Olivia Mahaux, Marco Vanini, et al.
2021 International Conference on Computational Science and Computational Intelligence (CSCI) (2023), pp. 49-56
Closed Access | Times Cited: 4
Jeffery L. Painter, Olivia Mahaux, Marco Vanini, et al.
2021 International Conference on Computational Science and Computational Intelligence (CSCI) (2023), pp. 49-56
Closed Access | Times Cited: 4
Trustworthy AI for safe medicines
Jens‐Ulrich Stegmann, Rory Littlebury, Markus Trengove, et al.
Nature Reviews Drug Discovery (2023) Vol. 22, Iss. 10, pp. 855-856
Open Access | Times Cited: 3
Jens‐Ulrich Stegmann, Rory Littlebury, Markus Trengove, et al.
Nature Reviews Drug Discovery (2023) Vol. 22, Iss. 10, pp. 855-856
Open Access | Times Cited: 3
Machine learning-enforced bioinformatics approaches for drug discovery and development
Dilip Kumar Chandra, Awanish Kumar, Chinmaya Mahapatra
Elsevier eBooks (2024), pp. 141-175
Closed Access
Dilip Kumar Chandra, Awanish Kumar, Chinmaya Mahapatra
Elsevier eBooks (2024), pp. 141-175
Closed Access
Deep learning is necessary for safety regulation in predicting malnutrition in gastric cancer patients
Linfeng Wang, Miao Pengyu
Clinical Nutrition (2024) Vol. 43, Iss. 9, pp. 2195-2195
Closed Access
Linfeng Wang, Miao Pengyu
Clinical Nutrition (2024) Vol. 43, Iss. 9, pp. 2195-2195
Closed Access
Safety regulation of machine learning in cardiac surgery
Zhiwen Wang, Linfeng Wang
Journal of Thoracic Disease (2024) Vol. 16, Iss. 8, pp. 5490-5491
Open Access
Zhiwen Wang, Linfeng Wang
Journal of Thoracic Disease (2024) Vol. 16, Iss. 8, pp. 5490-5491
Open Access
Governance of artificial intelligence and machine learning in pharmacovigilance: what works today and what more is needed?
Michael Gläser, Rory Littlebury
Therapeutic Advances in Drug Safety (2024) Vol. 15
Open Access
Michael Gläser, Rory Littlebury
Therapeutic Advances in Drug Safety (2024) Vol. 15
Open Access
Editorial: AI/ML in pharmacovigilance and pharmacoepidemiology
Wen Zou, Pantelis Natsiavas, Assaf Gottlieb
Frontiers in Drug Safety and Regulation (2024) Vol. 4
Open Access
Wen Zou, Pantelis Natsiavas, Assaf Gottlieb
Frontiers in Drug Safety and Regulation (2024) Vol. 4
Open Access
Toward AI-supported evaluation for safety control measures against near-miss events in pharmaceutical products
Rika Okamoto, Ryosuke Kojima, Masahiko Nakatsui
Safety Science (2023) Vol. 168, pp. 106314-106314
Closed Access | Times Cited: 1
Rika Okamoto, Ryosuke Kojima, Masahiko Nakatsui
Safety Science (2023) Vol. 168, pp. 106314-106314
Closed Access | Times Cited: 1
