From wearables to AI

Sports injuries pose significant risks to athletes,prompting the adoption of technologies for prevention,detection, and monitoring.This systematic review aims to review the currentlandscape of digital tools in the prevention, detection, andmonitoring of injuries in team sports. By analyzing recentstudies, we will explore the impact of these technologies,identify potential limitations, and discuss future directionsfor research and application in sports medicine.We conducted a systematic review following PRISMAguidelines (PROSPERO: CRD42024601280), searchingPubMed, Scopus, and Web of Science (1969–2024) forstudies including means of technology that can be assessedregarding the prevention, detection, and monitoring ofinjuries in team sports. The quality assessment of thesereferences was carried out in accordance with the JoannaBriggs Institute Critical Appraisal Tools (JBI) guidelines.Twenty-three studies were included. Fourteen studiesfocused on the assessment and detection of head Injuriesand concussions, particularly in contact sports such asAustralian football, rugby, and soccer. Musculoskeletalinjuries represented the second type of injuries studied.Wearable technologies were the most frequently usedtechnology for injury prevention, detection, and monitoring; several studies combined them with video analysis to enhance their accuracy. The integration of machine learningtechniques was observed in two studies, particularly in soccer and rugby. Imaging technologies, such as shear-wave ultrasound elastography, were also used to assess posterior shoulder capsule stiffness in baseball pitchers. Digital tools enhance injury management but require standardization. Future research should prioritize costeffective solutions and clinician-AI collaboration.