Journal of Personalized Medicine | Highly Cited Papers on the Role of Artificial Intelligence and Digital Twins in Personalized Medicine in 2022–2023

Explore highly cited papers from 2022 to 2023 in the Journal of Personalized Medicine (JPM, ISSN: 2075-4426) that highlight the transformative role of artificial intelligence and digital twins in advancing patient care, prediction modeling, and decision-making in precision medical fields, paving the way for a new era of evidence-based personalized medicine.

1. “Artificial Intelligence-Driven Prediction Modeling and Decision Making in Spine Surgery Using Hybrid Machine Learning Models”
by Babak Saravi, Frank Hassel, Sara Ülkümen, Alisia Zink, Veronika Shavlokhova, Sebastien Couillard-Despres, Martin Boeker, Peter Obid and Gernot Michael Lang
J. Pers. Med. 2022, 12(4), 509; https://doi.org/10.3390/jpm12040509
Available online: https://www.mdpi.com/2075-4426/12/4/509
Citations: 70+ | Article Views: 9293+

2. “Digital Twins in Healthcare: Is It the Beginning of a New Era of Evidence-Based Medicine? A Critical Review”
by Patrizio Armeni, Irem Polat, Leonardo Maria De Rossi, Lorenzo Diaferia, Severino Meregalli and Anna Gatti
J. Pers. Med. 2022, 12(8), 1255; https://doi.org/10.3390/jpm12081255
Available online: https://www.mdpi.com/2075-4426/12/8/1255
Citations: 60+ | Article Views: 11059+

3. “Predicting the Onset of Diabetes with Machine Learning Methods”
by Chun-Yang Chou, Ding-Yang Hsu and Chun-Hung Chou
J. Pers. Med. 2023, 13(3), 406; https://doi.org/10.3390/jpm13030406
Available online: https://www.mdpi.com/2075-4426/13/3/406
Citations: 50+ | Article Views: 7540+

4. “Advancing Patient Care: How Artificial Intelligence Is Transforming Healthcare”
by Diana Gina Poalelungi, Carmina Liana Musat, Ana Fulga, Marius Neagu, Anca Iulia Neagu, Alin Ionut Piraianu and Iuliu Fulga
J. Pers. Med. 2023, 13(8), 1214; https://doi.org/10.3390/jpm13081214
Available online: https://www.mdpi.com/2075-4426/13/8/1214
Citations: 30+ | Article Views: 14373+

5. “Machine Learning-Assisted FTIR Analysis of Circulating Extracellular Vesicles for Cancer Liquid Biopsy”
by Riccardo Di Santo, Maria Vaccaro, Sabrina Romanò, Flavio Di Giacinto, Massimiliano Papi, Gian Ludovico Rapaccini, Marco De Spirito, Luca Miele, Umberto Basile and Gabriele Ciasca
J. Pers. Med. 2022, 12(6), 949; https://doi.org/10.3390/jpm12060949
Available online: https://www.mdpi.com/2075-4426/12/6/949
Citations: 20+ | Article Views: 4130+

6. “Explainable Artificial Intelligence for Prediction of Complete Surgical Cytoreduction in Advanced-Stage Epithelial Ovarian Cancer”
by Alexandros Laios, Evangelos Kalampokis, Racheal Johnson, Amudha Thangavelu, Constantine Tarabanis, David Nugent and Diederick De Jong
J. Pers. Med. 2022, 12(4), 607; https://doi.org/10.3390/jpm12040607
Available online: https://www.mdpi.com/2075-4426/12/4/607
Citations: 20+ | Article Views: 3982+

7. “Robustness Evaluation of a Deep Learning Model on Sagittal and Axial Breast DCE-MRIs to Predict Pathological Complete Response to Neoadjuvant Chemotherapy”
by Raffaella Massafra, Maria Colomba Comes, Samantha Bove, Vittorio Didonna, Gianluca Gatta, Francesco Giotta, Annarita Fanizzi, Daniele La Forgia, Agnese Latorre, Maria Irene Pastena et al.
J. Pers. Med. 2022, 12(6), 953; https://doi.org/10.3390/jpm12060953
Available online: https://www.mdpi.com/2075-4426/12/6/953
Citations: 20+ | Article Views: 2941+

8. “Image Analysis in Digital Pathology Utilizing Machine Learning and Deep Neural Networks”
by Paris Amerikanos and Ilias Maglogiannis
J. Pers. Med. 2022, 12(9), 1444; https://doi.org/10.3390/jpm12091444
Available online: https://www.mdpi.com/2075-4426/12/9/1444
Citations: 15+ | Article Views: 3886+

9. “Intelligent Digital Twins for Personalized Migraine Care”
by Parisa Gazerani
J. Pers. Med. 2023, 13(8), 1255; https://doi.org/10.3390/jpm13081255
Available online: https://www.mdpi.com/2075-4426/13/8/1255
Citations: 10+ | Article Views: 3537+

10. “Enhancing Radiotherapy Workflow for Head and Neck Cancer with Artificial Intelligence: A Systematic Review”
by Ciro Franzese, Damiano Dei, Nicola Lambri, Maria Ausilia Teriaca, Marco Badalamenti, Leonardo Crespi, Stefano Tomatis, Daniele Loiacono, Pietro Mancosu and Marta Scorsetti
J. Pers. Med. 2023, 13(6), 946; https://doi.org/10.3390/jpm13060946
Available online: https://www.mdpi.com/2075-4426/13/6/946
Citations: 5+ | Article Views: 2402+

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JPM Editorial Office