The Use of 3-Dimensional Modeling and Printing in Corrective Osteotomies of the Malunited Pediatric Forearm: A Systematic Review and Meta-Analysis.

Introduction: Forearm fractures contribute up to 40% of all pediatric fractures, with ≤39% of conservatively managed fractures resulting in malunion. Surgical management of malunion is challenging as precise calculation of multiplanar correction is required to obtain optimal outcomes. Advances in 3D computer modeling and printing have shown promising results in orthopaedics, reducing surgical time, blood loss, and fluoroscopy.

Enhancements in artificial intelligence for medical examinations: A leap from ChatGPT 3.5 to ChatGPT 4.0 in the FRCS trauma & orthopaedics examination.

Introduction: ChatGPT is a sophisticated AI model capable of generating human-like text based on the input it receives. ChatGPT 3.5 showed an inability to pass the FRCS (Tr&Orth) examination due to a lack of higher-order judgement in previous studies.

Artificial intelligence in planned orthopaedic care.

The integration of artificial intelligence (AI) into orthopaedic care has gained considerable interest in recent years, evidenced by the growing body of literature boasting wide-ranging applications across the perioperative setting. This includes automated diagnostic imaging, clinical decision-making tools, optimisation of implant design, robotic surgery, and remote patient monitoring. Collectively, these advances propose to enhance patient care and improve system efficiency.

Needle arthroscopy in the surgical management of septic arthritis of the shoulder joint in neonates and infants.

Septic arthritis in neonates and infants is a life-threatening condition which should be treated promptly to reduce morbidity and mortality. The chondrolytic effect of bacteria and proteolytic enzymes is well documented. Surgical management consists of repeated needle aspirations in one sitting, arthroscopic washout or arthrotomy for open washout.