Diagnostics | Top 10 Cited Papers in 2025 in the “Medical Imaging and Theranostics” Section
1. “Advances in Neuroimaging and Deep Learning for Emotion Detection: A Systematic Review of Cognitive Neuroscience and Algorithmic Innovations”
by Constantinos Halkiopoulos, Evgenia Gkintoni, Anthimos Aroutzidis and Hera Antonopoulou
Diagnostics 2025, 15(4), 456; https://doi.org/10.3390/diagnostics15040456
Available online: https://www.mdpi.com/2075-4418/15/4/456
2. “Artificial Intelligence in Psychiatry: A Review of Biological and Behavioral Data Analyses”
By İsmail Baydili, Burak Tasci and Gülay Tasci
Diagnostics 2025, 15(4), 434; https://doi.org/10.3390/diagnostics15040434
Available online: http://www.mdpi.com/2075-4418/15/4/434/
3. “Automated Machine Learning in Dentistry: A Narrative Review of Applications, Challenges, and Future Directions”
by Sohaib Shujaat
Diagnostics 2025, 15(3), 273; https://doi.org/10.3390/diagnostics15030273
Available online: https://www.mdpi.com/2075-4418/15/3/273
4. “Postoperative Delirium and Cognitive Dysfunction After Cardiac Surgery: The Role of Inflammation and Clinical Risk Factors”
by Raluca-Elisabeta Staicu, Corina Vernic, Sebastian Ciurescu, Ana Lascu, Oana-Maria Aburel, Petru Deutsch and Elena Cecilia Rosca
Diagnostics 2025, 15(7), 844; https://doi.org/10.3390/diagnostics15070844
Available online: https://www.mdpi.com/2075-4418/15/7/844
5. “Non-Instrumental and Instrumental Tools Validity in Bruxism Diagnostics”
by Adrian Marcel Popescu, Mihaela Ionescu, Diana Elena Vlăduțu, Sanda Mihaela Popescu, Iulia Roxana Marinescu, Monica Scrieciu and Veronica Mercuț
Diagnostics 2025, 15(2), 200; https://doi.org/10.3390/diagnostics15020200
Available online: https://www.mdpi.com/2075-4418/15/2/200
6. “Explainable Artificial Intelligence in Radiological Cardiovascular Imaging—A Systematic Review”
by Matteo Haupt, Martin H. Maurer and Rohit Philip Thomas
Diagnostics 2025, 15(11), 1399; https://doi.org/10.3390/diagnostics15111399
Available online: https://www.mdpi.com/2075-4418/15/11/1399
7. “Integrating Radiogenomics and Machine Learning in Musculoskeletal Oncology Care”
by Rahul Kumar, Kyle Sporn, Akshay Khanna, Phani Paladugu, Chirag Gowda, Alex Ngo, Ram Jagadeesan, Nasif Zaman and Alireza Tavakkoli
Diagnostics 2025, 15(11), 1377; https://doi.org/10.3390/diagnostics15111377
Available online: https://www.mdpi.com/2075-4418/15/11/1377
8. “First Clinical Experience of 68Ga-FAPI PET/CT in Tertiary Cancer Center: Identifying Pearls and Pitfalls”
by Akram Al-Ibraheem, Ahmed Saad Abdlkadir, Ula Al-Rasheed, Dhuha Al-Adhami, Feras Istatieh, Farah Anwar, Marwah Abdulrahman, Rula Amarin, Issa Mohamad and Asem Mansour
Diagnostics 2025, 15(2), 218; https://doi.org/10.3390/diagnostics15020218
Available online: https://www.mdpi.com/2075-4418/15/2/218
9. “Characterisation of Post-Sepsis Cardiomyopathy Using Cardiovascular Magnetic Resonance”
by Samuel Malomo, Thomas Oswald, Edward Stephenson, Anthony Yip, Thomas Alway, Stanislav Hadjivassilev, Steven Coombs, Susan Ellery, Joon Lee, Rachael James et al.
Diagnostics 2025, 15(8), 997; https://doi.org/10.3390/diagnostics15080997
Available online: https://www.mdpi.com/2075-4418/15/8/997
10. “Comparative Evaluation of Machine Learning-Based Radiomics and Deep Learning for Breast Lesion Classification in Mammography”
by Alessandro Stefano, Fabiano Bini, Eleonora Giovagnoli, Mariangela Dimarco, Nicolò Lauciello, Daniela Narbonese, Giovanni Pasini, Franco Marinozzi, Giorgio Russo and Ildebrando D’Angelo
Diagnostics 2025, 15(8), 953; https://doi.org/10.3390/diagnostics15080953
Available online: https://www.mdpi.com/2075-4418/15/8/953