Purpose: The implementation of artificial intelligence in hand surgery and rehabilitation is gaining popularity. The purpose of this scoping review was to give an overview of implementations of artificial intelligence in hand surgery and rehabilitation and their current significance in clinical practice. Methods: A systematic literature search of the MEDLINE/PubMed and Cochrane Collaboration libraries was conducted. The review was conducted according to the framework outlined by the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Extension for Scoping Reviews. A narrative summary of the papers is presented to give an orienting overview of this rapidly evolving topic. Results: Primary search yielded 435 articles. After application of the inclusion/exclusion criteria and addition of supplementary search, 235 articles were included in the final review. In order to facilitate navigation through this heterogenous field, the articles were clustered into four groups of thematically related publications. The most common applications of artificial intelligence in hand surgery and rehabilitation target automated image analysis of anatomic structures, fracture detection and localization and automated screening for other hand and wrist pathologies such as carpal tunnel syndrome, rheumatoid arthritis or osteoporosis. Compared to other medical subspecialties the number of applications in hand surgery is still small. Conclusion: Although various promising applications of artificial intelligence in hand surgery and rehabilitation show strong performances, their implementation mostly takes place within the context of experimental studies. Therefore, their use in daily clinical routine is still limited.

Three‐dimensional (3D) printing is spreading in hand surgery. There is an increasing number of practical applications like the training of junior hand surgeons, patient education, preoperative planning, and 3D printing of customized casts, customized surgical guides, implants, and prostheses. Some high‐quality studies highlight the value for surgeons, but there is still a lack of high‐level evidence for improved clinical endpoints and hence actual impact on the patient’s outcome. This article provides an overview over the latest applications of 3D printing in hand surgery and practical experience of implementing them into daily clinical routine.

Introduction: This study evaluated the use of a free vascularized bone graft with and without cartilage from the medial femoral condyle (MFC) in patients with recalcitrant scaphoid non-union, with a special focus on union rates and the osteochondral graft for proximal pole destruction. Materials and methods: Thirty-eight avascular scaphoid non-unions in 37 patients who were treated with a free osteoperiosteal or osteochondral MFC graft were retrospectively evaluated (mean follow-up 16 months). Bone union, the scapholunate and the radiolunate angles were evaluated on X-ray images. The range of motion, grip strength, VAS, DASH and PRWE scores were evaluated clinically. Results: The overall union rate was 95%. Bone union was achieved in 27 out of 29 (93%) scaphoids treated with a free osteoperiosteal MFC grafts and in 9 out of 9 (100%) scaphoids treated with a free osteochondral MFC graft. The range of motion remained almost unchanged, while grip strength increased significantly (34 kg vs. 44 kg) and the VAS (22–5), DASH (59–19) and PRWE (62–30) score decreased significantly. The scapholunate (71°–65°) and radiolunate (28°–18°) angle decreased. No major donor site morbidity was observed. Postoperative complications were observed in eight cases (21%). Conclusions: The vascularized medial femoral bone graft leads to a good functional outcome in the treatment of scaphoid non-unions. The graft provides adequate blood supply and structural stability to the scaphoid. A proximal pole destruction can be replaced using an osteochondral graft with promising short-term results preventing carpal osteoarthritis and collapse.

Purpose: The implementation of artificial intelligence (AI) in health care is gaining popularity. Many publications describe powerful AI-enabled algorithms. Yet there’s only scarce evidence for measurable value in terms of patient outcomes, clinical decision-making or socio-economic impact. Our aim was to investigate the significance of AI in the emergency treatment of wrist trauma patients.Method: Two groups of physicians were confronted with twenty realistic cases of wrist trauma patients and had to find the correct diagnosis and provide a treatment recommendation. One group was assisted by an AI-enabled application which detects and localizes distal radius fractures (DRF) with near-to-perfect precision while the other group had no help. Primary outcome measurement was diagnostic accuracy. Secondary outcome measurements were required time, number of added CT scans and senior consultations, correctness of the treatment, subjective and objective stress levels.Results: The AI-supported group was able to make a diagnosis without support (no additional CT, no senior consultation) in significantly more of the cases than the control group (75% vs. 52%,p = 0.003). The AI-enhanced group detected DRF with superior sensitivity (1.00 vs. 0.96,p = 0.06) and specificity (0.99 vs. 0.93,p = 0.17), used significantly less additional CT scans to reach the correct diagnosis (14% vs. 28%,p = 0.02) and was subjectively significantly less stressed (p = 0.05).Conclusion: The results indicate that physicians can diagnose wrist trauma more accurately and faster when aided by an AI-tool that lessens the need for extra diagnostic procedures. The AI-tool also seems to lower physicians' stress levels while examining cases. We anticipate that these benefits will be amplified in larger studies as skepticism towards the new technology diminishes.

Introduction Several methods treating proximal interphalangeal joint (PIP) fracture dislocations have been established providing early joint mobilization. The aim of this study was to evaluate the clinical and radiological outcome of unstable fracture dislocations of the PIP treated with a parabolic dynamic external fixator consisting of two Kirschner (K)-wires. Materials and methods Twenty-one patients who sustained a pilonoidal fracture of the PIP joint and were treated with a dynamic external fixator were evaluated retrospectively. The active range of motion, pain level, DASH score, Buck Gramcko Score, and the patient’s satisfaction and acceptance were assessed. X-ray images were evaluated for bone healing, joint alignment, and signs of osteoarthritis. Results Mean PIP joint range of motion was 76°. Patients showed very mild discomfort (mean 0.7), high patient satisfaction (mean 1.9), and a moderate acceptance (mean 2.7). The mean DASH score was 11.6 and the Buck Gramcko score 13. All patients showed bone healing. One patient suffered from a recurrent dislocation, and another a subluxation of the PIP joint while wearing the fixator. Both joints could be corrected by modifying the fixator under image intensifier. Twenty patients (95%) showed a concentric and stable aligned joint. Three patients showed an osteoarthritis stage 0, five stage 1, nine stage 2, three stage 3, and one stage 4 according to the Kellgran–Lawrence Score. Conclusion The use of a parabolic dynamic external fixator constructed from two K-wires restores joint alignment and stability in unstable pilonoidal PIP joint disclocation fractures. It allows immediate PIP joint mobilization to avoid adhesions. Modifications of the radius of the parabolic construct within cases of postoperative malalignment, without anesthesia, can restore joint axis and malalignment. This fixator is a cost-effective alternative, showing a good clinical outcome.