The Yorkshire Knee Clinic is a partnership of specialist knee surgeons and works with associated disciplines united by their area of expertise and interest.

Wels-Grieskirchen Hospital is the first hospital in the world to use a robot during knee operations, ORF reported. The system, called Robin, continuously analyses and aligns the knee during surgery. About 70 procedures have been performed so far. The technology allows treatment to be tailored to …

Joint replacements are based on health need and not age - a specialist has confirmed

Cutting-edge approaches could one day help arthritic knees regenerate themselves.

Paris St-Germain winger Khvicha Kvaratskhelia will undergo knee surgery after suffering a knee injury during his side's 4-2 win over Barcelona on Tuesday.

Tartu University Hospital has carried out its first robot-assisted knee operations in a pilot project, but it is not yet clear whether Estonia’s Health Insurance Fund will pay for the system, ERR reported. The hospital covered the weeklong trial and doctors’ training itself. The CORI system creat…

Your dog's anatomy may be working against its joints before it ever takes a bad step. From ACL-prone Labs to small breeds with slipping kneecaps, certain body types carry built-in orthopedic risk — and the early warning signs are easy to miss. Knowing what to watch for could save your dog from the operating table.

Your dog's anatomy may be working against its joints before it ever takes a bad step. From ACL-prone Labs to small breeds with slipping kneecaps, certain body types carry built-in orthopedic risk — and the early warning signs are easy to miss. Knowing what to watch for could save your dog from the operating table.

Two major studies involving researchers at Queen Mary University of London have found that robotic-assisted hip and knee replacement does not reduce the overall early risk of repeat surgery compared w...

Background: Early detection and monitoring of wound-related complications after total knee arthroplasty (TKA) are critical to optimize outcomes and preserve implants. Conventional postoperative monitoring relies on in-person assessment and patient-reported symptoms, which may delay recognition. Noncontact imaging acquired in the clinic or at home offers a potential route to earlier and more consistent assessment. Objective: This study aimed to evaluate the technical #feasibility and performance of a multimodal AI system integrating electro-optical (EO) and infrared imaging for postoperative wound assessment following TKA and to explore clinical factors associated with early complications. Methods: We conducted a single-center prospective cohort study of 749 patients undergoing primary TKA. Patients underwent standardized multimodal data collection at scheduled postoperative visits. EO-based models localized surgical landmarks and segmented complication-oriented tissue states; a fine-tuned vision-language model provided protocol verification and contextual visual reasoning. EO landmarks mapped to thermal space via deterministic alignment, followed by infrared region-of-interest segmentation and thermal classification. Each module was evaluated on a defined held-out set. The thermal classifier was assessed out-of-fold under 5-fold cross-validation with folds grouped by patient, in knees imaged on postoperative day 14 or later. Discrimination for clinician-adjudicated infection-related complications served as the primary outcome. Comorbidities and baseline laboratory values were explored for associations with complications. Results: Among 749 patients, 26 (3.5%) had a clinician-adjudicated infection-related complication. On held-out evaluation, the EO landmark detector reached a sensitivity of 0.967 (95% CI 0.954-0.979) and positive predictive value of 0.955 (95% CI 0.940-0.970), and the wound-tissue segmentation model reached a sensitivity of 0.845 (95% CI 0.833-0.857) and positive predictive value of 0.759 (95% CI 0.744-0.772). Infrared region-of-interest extraction isolated the surgical field with a mean intersection-over-union of 0.985 (SD 0.008; 95% CI 0.984-0.986) across 178 held-out patients. The trained thermal classifier discriminated infected scans with an area under the receiver operating characteristic curve (AUROC) of 0.978 (95% CI 0.959-0.992) in out-of-fold, patient-grouped cross-validation. At a representative operating point, sensitivity was 0.808 (95% CI 0.65-0.92), specificity 0.974 (95% CI 0.96-0.99), positive predictive value 0.618 (95% CI 0.49-0.78), and negative predictive value 0.990 (95% CI 0.98-1.00). Exploratory analyses showed nominal associations of chronic kidney disease and diabetes mellitus with postoperative complications that did not remain significant after multiplicity correction. Conclusions: In this formative study, a multimodal EO and infrared imaging pipeline demonstrated technical #feasibility for postoperative wound assessment following TKA, providing noncontact discrimination of infection-related complications that compared favorably with established adjuncts. This work provides proof-of-concept for multimodal imaging-based assessment and defines the technical requirements for the prospective, multicenter external validation needed to establish clinical utility.