We are delighted to share some highly cited papers on artificial intelligence that were published in the Journal of Clinical Medicine (JCM, ISSN: 2077-0383) between 2022 and 2024. In addition, some Special Issues on this topic are currently open for submission.

The following is a list of articles and Special Issues that we believe will interest you.

1. “Machine Learning and Deep Learning in Spinal Injury: A Narrative Review of Algorithms in Diagnosis and Prognosis”
by Satoshi Maki, Takeo Furuya, Masahiro Inoue, Yasuhiro Shiga, Kazuhide Inage, Yawara Eguchi, Sumihisa Orita and Seiji Ohtori
J. Clin. Med. 2024, 13(3), 705; https://doi.org/10.3390/jcm13030705
Available online: https://www.mdpi.com/2077-0383/13/3/705

2. “Exploring the Impact of Glycemic Control on Diabetic Retinopathy: Emerging Models and Prognostic Implications”
by Nicola Tecce, Gilda Cennamo, Michele Rinaldi, Ciro Costagliola and Annamaria Colao
J. Clin. Med. 2024, 13(3), 831; https://doi.org/10.3390/jcm13030831
Available online: https://www.mdpi.com/2077-0383/13/3/831

3. “Periapical Lesions in Panoramic Radiography and CBCT Imaging—Assessment of AI’s Diagnostic Accuracy”
by Wojciech Kazimierczak, Róża Wajer, Adrian Wajer, Veronica Kiian, Anna Kloska, Natalia Kazimierczak, Joanna Janiszewska-Olszowska and Zbigniew Serafin
J. Clin. Med. 2024, 13(9), 2709; https://doi.org/10.3390/jcm13092709
Available online: https://www.mdpi.com/2077-0383/13/9/2709

4. “How Radiomics Can Improve Breast Cancer Diagnosis and Treatment”
by Filippo Pesapane, Paolo De Marco, Anna Rapino, Eleonora Lombardo, Luca Nicosia, Priyan Tantrige, Anna Rotili, Anna Carla Bozzini, Silvia Penco, Valeria Dominelli et al.
J. Clin. Med. 2023, 12(4), 1372; https://doi.org/10.3390/jcm12041372
Available online: https://www.mdpi.com/2077-0383/12/4/1372

5. “Overview of Artificial Intelligence in Breast Cancer Medical Imaging”
by Dan Zheng, Xiujing He and Jing Jing
J. Clin. Med. 2023, 12(2), 419; https://doi.org/10.3390/jcm12020419
Available online: https://www.mdpi.com/2077-0383/12/2/419

6. “Towards Automation in IVF: Pre-Clinical Validation of a Deep Learning-Based Embryo Grading System during PGT-A Cycles”
by Danilo Cimadomo, Viviana Chiappetta, Federica Innocenti, Gaia Saturno, Marilena Taggi, Anabella Marconetto, Valentina Casciani, Laura Albricci, Roberta Maggiulli, Giovanni Coticchio et al.
J. Clin. Med. 2023, 12(5), 1806; https://doi.org/10.3390/jcm12051806
Available online: https://www.mdpi.com/2077-0383/12/5/1806

7. “Validation of an Automated Artificial Intelligence Algorithm for the Quantification of Major OCT Parameters in Diabetic Macular Edema”
by Edoardo Midena, Lisa Toto, Luisa Frizziero, Giuseppe Covello, Tommaso Torresin, Giulia Midena, Luca Danieli, Elisabetta Pilotto, Michele Figus, Cesare Mariotti et al.
J. Clin. Med. 2023, 12(6), 2134; https://doi.org/10.3390/jcm12062134
Available online: https://www.mdpi.com/2077-0383/12/6/2134

8. “Diagnostic Image Quality of a Low-Field (0.55T) Knee MRI Protocol Using Deep Learning Image Reconstruction Compared with a Standard (1.5T) Knee MRI Protocol”
by Ingo Lopez Schmidt, Nina Haag, Iram Shahzadi, Lynn Johann Frohwein, Claus Schneider, Julius Henning Niehoff, Jan Robert Kroeger, Jan Borggrefe and Christoph Moenninghoff
J. Clin. Med. 2023, 12(5), 1916; https://doi.org/10.3390/jcm12051916
Available online: https://www.mdpi.com/2077-0383/12/5/1916

9. “Artificial Intelligence (AI) versus POCUS Expert: A Validation Study of Three Automatic AI-Based, Real-Time, Hemodynamic Echocardiographic Assessment Tools”
by Eyal Gohar, Amit Herling, Mor Mazuz, Gal Tsaban, Tomer Gat, Sergio Kobal and Lior Fuchs
J. Clin. Med. 2023, 12(4), 1352; https://doi.org/10.3390/jcm12041352
Available online: https://www.mdpi.com/2077-0383/12/4/1352

10. “Application and Progress of Artificial Intelligence in Fetal Ultrasound”
by Sushan Xiao, Junmin Zhang, Ye Zhu, Zisang Zhang, Haiyan Cao, Mingxing Xie and Li Zhang
J. Clin. Med. 2023, 12(9), 3298; https://doi.org/10.3390/jcm12093298
Available online: https://www.mdpi.com/2077-0383/12/9/3298

11. “XR (Extended Reality: Virtual Reality, Augmented Reality, Mixed Reality) Technology in Spine Medicine: Status Quo and Quo Vadis”
by Tadatsugu Morimoto, Takaomi Kobayashi, Hirohito Hirata, Koji Otani, Maki Sugimoto, Masatsugu Tsukamoto, Tomohito Yoshihara, Masaya Ueno and Masaaki Mawatari
J. Clin. Med. 2022, 11(2), 470; https://doi.org/10.3390/jcm11020470
Available online: https://www.mdpi.com/2077-0383/11/2/470

12. “Clinical Applications of Artificial Intelligence—An Updated Overview”
by Ștefan Busnatu, Adelina-Gabriela Niculescu, Alexandra Bolocan, George E. D. Petrescu, Dan Nicolae Păduraru, Iulian Năstasă, Mircea Lupușoru, Marius Geantă, Octavian Andronic, Alexandru Mihai Grumezescu et al.
J. Clin. Med. 2022, 11(8), 2265; https://doi.org/10.3390/jcm11082265
Available online: https://www.mdpi.com/2077-0383/11/8/2265

13. “Artificial Intelligence in Dermatology Image Analysis: Current Developments and Future Trends”
by Zhouxiao Li, Konstantin Christoph Koban, Thilo Ludwig Schenck, Riccardo Enzo Giunta, Qingfeng Li and Yangbai Sun
J. Clin. Med. 2022, 11(22), 6826; https://doi.org/10.3390/jcm11226826
Available online: https://www.mdpi.com/2077-0383/11/22/6826

14. “Artificial Intelligence-Based Approaches to Reflectance Confocal Microscopy Image Analysis in Dermatology”
by Ana Maria Malciu, Mihai Lupu and Vlad Mihai Voiculescu
J. Clin. Med. 2022, 11(2), 429; https://doi.org/10.3390/jcm11020429
Available online: https://www.mdpi.com/2077-0383/11/2/429

15. “A Machine-Learning-Based Risk-Prediction Tool for HIV and Sexually Transmitted Infections Acquisition over the Next 12 Months”
by Xianglong Xu, Zongyuan Ge, Eric P. F. Chow, Zhen Yu, David Lee, Jinrong Wu, Jason J. Ong, Christopher K. Fairley and Lei Zhang
J. Clin. Med. 2022, 11(7), 1818; https://doi.org/10.3390/jcm11071818
Available online: https://www.mdpi.com/2077-0383/11/7/1818

You are invited to view and submit relevant papers to the Journal of Clinical Medicine at the following link: https://www.mdpi.com/journal/jcm.

JCM Editorial Office