
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:
Machine learning in clinical decision making
Lorenz Adlung, Yotam Cohen, Uria Mor, et al.
Med (2021) Vol. 2, Iss. 6, pp. 642-665
Open Access | Times Cited: 142
Lorenz Adlung, Yotam Cohen, Uria Mor, et al.
Med (2021) Vol. 2, Iss. 6, pp. 642-665
Open Access | Times Cited: 142
Showing 1-25 of 142 citing articles:
Microbiome and cancer
Nyssa Cullin, Camila Azevedo Antunes, Ravid Straussman, et al.
Cancer Cell (2021) Vol. 39, Iss. 10, pp. 1317-1341
Open Access | Times Cited: 357
Nyssa Cullin, Camila Azevedo Antunes, Ravid Straussman, et al.
Cancer Cell (2021) Vol. 39, Iss. 10, pp. 1317-1341
Open Access | Times Cited: 357
Machine learning and deep learning methods that use omics data for metastasis prediction
Somayah Albaradei, Maha A. Thafar, Asim Alsaedi, et al.
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 5008-5018
Open Access | Times Cited: 111
Somayah Albaradei, Maha A. Thafar, Asim Alsaedi, et al.
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 5008-5018
Open Access | Times Cited: 111
Smartphone-based platforms implementing microfluidic detection with image-based artificial intelligence
Bangfeng Wang, Yiwei Li, Mengfan Zhou, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 107
Bangfeng Wang, Yiwei Li, Mengfan Zhou, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 107
Artificial Intelligence in Medicine and Dentistry
Marin Vodanović, Marko Subašić, Denis Milošević, et al.
Acta Stomatologica Croatica (2023) Vol. 57, Iss. 1, pp. 70-84
Open Access | Times Cited: 51
Marin Vodanović, Marko Subašić, Denis Milošević, et al.
Acta Stomatologica Croatica (2023) Vol. 57, Iss. 1, pp. 70-84
Open Access | Times Cited: 51
Humans inherit artificial intelligence biases
Lucía Gómez Vicente, Helena Matute
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 44
Lucía Gómez Vicente, Helena Matute
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 44
A novel machine learning approach for diagnosing diabetes with a self-explainable interface
Gangani Dharmarathne, Thilini N. Jayasinghe, Madhusha Bogahawaththa, et al.
Healthcare Analytics (2024) Vol. 5, pp. 100301-100301
Open Access | Times Cited: 31
Gangani Dharmarathne, Thilini N. Jayasinghe, Madhusha Bogahawaththa, et al.
Healthcare Analytics (2024) Vol. 5, pp. 100301-100301
Open Access | Times Cited: 31
Bias in medical AI: Implications for clinical decision-making
James M. Cross, Michael A. Choma, John A. Onofrey
PLOS Digital Health (2024) Vol. 3, Iss. 11, pp. e0000651-e0000651
Open Access | Times Cited: 18
James M. Cross, Michael A. Choma, John A. Onofrey
PLOS Digital Health (2024) Vol. 3, Iss. 11, pp. e0000651-e0000651
Open Access | Times Cited: 18
A State-of-Art-Review on Machine-Learning Based Methods for PV
Giuseppe Marco Tina, Cristina Ventura, Sergio Ferlito, et al.
Applied Sciences (2021) Vol. 11, Iss. 16, pp. 7550-7550
Open Access | Times Cited: 76
Giuseppe Marco Tina, Cristina Ventura, Sergio Ferlito, et al.
Applied Sciences (2021) Vol. 11, Iss. 16, pp. 7550-7550
Open Access | Times Cited: 76
A comprehensive review for chronic disease prediction using machine learning algorithms
Rakibul Islam, Azrin Sultana, Mohammad Rashedul Islam
Journal of Electrical Systems and Information Technology (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 8
Rakibul Islam, Azrin Sultana, Mohammad Rashedul Islam
Journal of Electrical Systems and Information Technology (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 8
Machine learning in causal inference for epidemiology
Chiara Moccia, Giovenale Moirano, Maja Popović, et al.
European Journal of Epidemiology (2024) Vol. 39, Iss. 10, pp. 1097-1108
Open Access | Times Cited: 8
Chiara Moccia, Giovenale Moirano, Maja Popović, et al.
European Journal of Epidemiology (2024) Vol. 39, Iss. 10, pp. 1097-1108
Open Access | Times Cited: 8
Machine learning-based prediction model integrating ultrasound scores and clinical features for the progression to rheumatoid arthritis in patients with undifferentiated arthritis
Xiaoli Hu, Xianmei Liu, Yuan Xu, et al.
Clinical Rheumatology (2025)
Closed Access | Times Cited: 1
Xiaoli Hu, Xianmei Liu, Yuan Xu, et al.
Clinical Rheumatology (2025)
Closed Access | Times Cited: 1
Integrating Structured and Unstructured EHR Data for Predicting Mortality by Machine Learning and Latent Dirichlet Allocation Method
Chih‐Chou Chiu, Chung-Min Wu, Te-Nien Chien, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 5, pp. 4340-4340
Open Access | Times Cited: 21
Chih‐Chou Chiu, Chung-Min Wu, Te-Nien Chien, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 5, pp. 4340-4340
Open Access | Times Cited: 21
A comparison of RNA-Seq data preprocessing pipelines for transcriptomic predictions across independent studies
Richard Van, Daniel Álvarez, Travis Mize, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 7
Richard Van, Daniel Álvarez, Travis Mize, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 7
Enhancing the accuracy and effectiveness of diagnosis of spontaneous bacterial peritonitis in cirrhotic patients: a machine learning approach utilizing clinical and laboratory data
Babak Khorsand, Mohsen Rajabnia, Ali Jahanian, et al.
Advances in Medical Sciences (2024) Vol. 70, Iss. 1, pp. 1-7
Closed Access | Times Cited: 7
Babak Khorsand, Mohsen Rajabnia, Ali Jahanian, et al.
Advances in Medical Sciences (2024) Vol. 70, Iss. 1, pp. 1-7
Closed Access | Times Cited: 7
Standing the test of COVID-19: charting the new frontiers of medicine
Simon Cauchemez, Giulio Cossu, Nathalie M. Delzenne, et al.
Frontiers in Science (2024) Vol. 2
Open Access | Times Cited: 6
Simon Cauchemez, Giulio Cossu, Nathalie M. Delzenne, et al.
Frontiers in Science (2024) Vol. 2
Open Access | Times Cited: 6
Applying an Improved Stacking Ensemble Model to Predict the Mortality of ICU Patients with Heart Failure
Chih‐Chou Chiu, Chung-Min Wu, Te-Nien Chien, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 21, pp. 6460-6460
Open Access | Times Cited: 26
Chih‐Chou Chiu, Chung-Min Wu, Te-Nien Chien, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 21, pp. 6460-6460
Open Access | Times Cited: 26
A machine learning model identifies patients in need of autoimmune disease testing using electronic health records
Iain S. Forrest, Ben Omega Petrazzini, Áine Duffy, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 15
Iain S. Forrest, Ben Omega Petrazzini, Áine Duffy, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 15
The Role of Artificial Intelligence in Deciphering Diet–Disease Relationships: Case Studies
Yotam Cohen, Rafael Valdés‐Mas, Eran Elinav
Annual Review of Nutrition (2023) Vol. 43, Iss. 1, pp. 225-250
Open Access | Times Cited: 14
Yotam Cohen, Rafael Valdés‐Mas, Eran Elinav
Annual Review of Nutrition (2023) Vol. 43, Iss. 1, pp. 225-250
Open Access | Times Cited: 14
Functional Outcome Prediction After Spinal Cord Injury Using Ensemble Machine Learning
Chihiro Kato, Osamu Uemura, Yasunori Sato, et al.
Archives of Physical Medicine and Rehabilitation (2023) Vol. 105, Iss. 1, pp. 95-100
Open Access | Times Cited: 14
Chihiro Kato, Osamu Uemura, Yasunori Sato, et al.
Archives of Physical Medicine and Rehabilitation (2023) Vol. 105, Iss. 1, pp. 95-100
Open Access | Times Cited: 14
How can quantum computing be applied in clinical trial design and optimization?
Hakan Doğa, Aritra Bose, Mehmet Şahin, et al.
Trends in Pharmacological Sciences (2024) Vol. 45, Iss. 10, pp. 880-891
Open Access | Times Cited: 5
Hakan Doğa, Aritra Bose, Mehmet Şahin, et al.
Trends in Pharmacological Sciences (2024) Vol. 45, Iss. 10, pp. 880-891
Open Access | Times Cited: 5
The State of Artificial Intelligence in Pediatric Surgery: A Systematic Review
Mohamed Elahmedi, Riya Sawhney, Elena Guadagno, et al.
Journal of Pediatric Surgery (2024) Vol. 59, Iss. 5, pp. 774-782
Open Access | Times Cited: 4
Mohamed Elahmedi, Riya Sawhney, Elena Guadagno, et al.
Journal of Pediatric Surgery (2024) Vol. 59, Iss. 5, pp. 774-782
Open Access | Times Cited: 4
Uso de la inteligencia artificial en la educación médica: ¿herramienta o amenaza? Revisión de alcance
Mateo Aguirre Flórez, José Fernándo Gómez, Laura Alejandra Jímenez-Osorio, et al.
Investigación en Educación Médica (2025) Vol. 14, Iss. 53, pp. 90-106
Open Access
Mateo Aguirre Flórez, José Fernándo Gómez, Laura Alejandra Jímenez-Osorio, et al.
Investigación en Educación Médica (2025) Vol. 14, Iss. 53, pp. 90-106
Open Access
Machine learning in ocular oncology and oculoplasty: Transforming diagnosis and treatment
Dipali Vikas Mane, Khuspe Pankaj Ramdas
IP International Journal of Ocular Oncology and Oculoplasty (2025) Vol. 10, Iss. 4, pp. 196-207
Open Access
Dipali Vikas Mane, Khuspe Pankaj Ramdas
IP International Journal of Ocular Oncology and Oculoplasty (2025) Vol. 10, Iss. 4, pp. 196-207
Open Access
State-of-the-art skin disease classification: a review of deep learning models
Oluwayemisi Jaiyeoba, Emeka Ogbuju, Grace Ataguba, et al.
Network Modeling Analysis in Health Informatics and Bioinformatics (2025) Vol. 14, Iss. 1
Closed Access
Oluwayemisi Jaiyeoba, Emeka Ogbuju, Grace Ataguba, et al.
Network Modeling Analysis in Health Informatics and Bioinformatics (2025) Vol. 14, Iss. 1
Closed Access
A Binary Prototype for Time-Series Surveillance and Intervention
Jason Olejarz, Till Hoffmann, Antonia Zapf, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Jason Olejarz, Till Hoffmann, Antonia Zapf, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access