Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran , zeynab.naseri@gmail.com
Abstract: (28 Views)
Background and Aim:Personalized approaches use individual clinical, behavioral, biological, and computational data to guide care, but it remains unclear whether these approaches progress beyond prediction to alter clinical decisions or patient outcomes. This review located the current evidence along a data-to-decision pathway. Materials and Methods: PubMed, Scopus, and Web of Science were searched for English-language primary human studies published from January 2015 through November 2025. Studies were classified as Group A (documented modification of care) or Group B (recommendation without demonstrated implementation, prediction, classification, or enabling evidence). Risk of bias was assessed with design-specific tools, and outcome certainty was appraised exploratorily. Result:Twenty-one empirical studies were included. One study implemented an individualized care protocol, one produced patient-specific recommendations without evaluating uptake, and 19 were limited to characterization, biomarker discovery, classification, prediction, or monitoring. No study demonstrated superior patient-important outcomes compared with usual care. All three prediction-model studies were at high risk of bias, and most outcomes had low or very-low certainty. Conclusion:Current evidence is insufficient to justify changes in routine practice. Prospective comparative impact studies should show that individual-level outputs alter care and improve patient outcomes before clinical adoption.
Farzin A, Shafiei Shirvan A, Naseri Somaghcheh Z. Personalized and Predictive Approaches in Oral Healthcare: A Systematic Review. J Res Dent Sci 2026; 23 (3) :264-287 URL: http://jrds.ir/article-1-1654-en.html