Search results for Ai Orthopaedics

Advita Ortho Showcases New AI-Driven Research Advancing Personalized Joint Replacement

 Machine learning knee classification featured in podium presentation; radiomics research expands shoulder insights GAINESVILLE, Fla., April 6, 2026 /PRNewswire/ —…

Advita Ortho Showcases New AI-Driven Research Advancing Personalized Joint Replacement

A Spine Surgeon Built an AI Tool to Solve One of the OR’s Most Frustrating Problems. 50,000 Users Later, It’s Just Getti...

The ‘Suggestible’ Orthopaedic Large Language Model

Todays AI models, do not have either critical thinking nor life experience logic. They do math ok, but not user misdirection. The post The ‘Suggestible’ Orthopaedic Large Language...

Evaluating the Utility and Acceptability of an Artificial Intelligence-Powered Care Aid for Perioperative Patient Inquir...

Conventional educational materials for total joint arthroplasty (TJA) frequently exhibit deficiencies in readability and personalization. This investigation assessed a custom-tailo...

Q&A: The role of robotics in the future of orthopedics

With the recent growth in utilization of robotic tools and AI learning modules in orthopedic practices around the country, surgeons must now adapt to a new status quo in the OR.Acc...

Artificial Intelligence in Diabetic Foot Medicine

The Advent of Artificial Intelligence in Diabetic Foot Medicine: A New Horizon, a New Order, or a False Dawn? Theodore Howard et al Int J Low Extrem Wounds. 2021 Sep 7 I...

Unsupervised Machine Learning Drives Dynamic Alignment Classification In Navigated Total Knee Arthroplasty

Current classifications used for total knee arthroplasty (TKA) are static and fail to capture the dynamic behavior of the limb during gait. This study introduces a novel intraopera...

The Assessment of Coronal Plane Lower-Limb Alignment on Pre- and Postoperative Long-Leg Radiographs Using Deep Learning

Coronal plane lower-limb alignment, defined by metrics including the hip-knee-ankle angle (HKAA), lateral distal femoral angle (LDFA), and medial proximal tibial angle (MPTA), is u...

SMILE-FX Launches AI Braces System, Bringing Predictive Treatment Planning to South Florida

Board-certified orthodontist Dr. Tracy M. Liang introduces a data-informed approach combining artificial intelligence with 3D imaging MIRAMAR, FL, April 3, 2026 –  SMILE-FX Orthodo...

A Novel Classification System to Predict Case Difficulty in Direct Anterior Approach Total Hip Arthroplasty

While the learning curve for direct anterior approach (DAA) total hip arthroplasty (THA) is steep, no classification exists to predict technically challenging cases. We propose and...

Evaluating the Impact of Artificial Intelligence Scribes on Clinical Workflow and Documentation Quality: A Randomized Co...

The adoption of artificial intelligence (AI) scribes has grown rapidly in recent years, aiming to improve clinical workflow, increase efficiency, and reduce administrative burden b...

Technical tips, pearls for implantable knee shock absorber

Knee osteoarthritis is one of the leading causes of disability in the United States and worldwide.Patients who have failed conservative treatments but are not ready or indicated fo...

Technical tips, pearls for implantable knee shock absorber

Knee osteoarthritis is one of the leading causes of disability in the United States and worldwide.Patients who have failed conservative treatments but are not ready or indicated fo...

Early Postoperative Gait Metrics After Superior Transverse Anatomic Reconstruction (STAR) Versus Direct Anterior Total H...

The direct anterior approach (DAA) is a widely used muscle-sparing technique for total hip arthroplasty (THA) designed to minimize soft-tissue injury and support early recovery. Th...

Implantable shock absorber may improve medial knee OA outcomes

NEW ORLEANS — An implantable shock absorber may provide sustained pain relief, high rates of survivorship and functional improvement in patients with medial knee osteoarthritis, ac...

A Novel 2.5-Dimensional Deep Learning Model for “Bone-on-Bone” Detection on Magnetic Resonance Imaging in Medial Unicomp...

Accurate identification of “bone-on-bone” (BoB) osteoarthritis is critical for patient selection for medial unicompartmental knee arthroplasty (mUKA); however, the assessment remai...

Machine Learning Using Preoperative Patient Factors Can Predict the Severity of Pain Following Primary Total Hip Arthrop...

Persistent postoperative pain is a challenge in total hip arthroplasty (THA), yet a lack of accurate predictive tools exists for this outcome. This study aimed to develop and valid...

High School Researcher Presents AI Diagnostic Tool for Rural Spinal Care at Dartmouth Rural Health Symposium

Pictured: Aviraj Soin Presenting His Poster at the Dartmouth Rural Health Symposium in Hanover, NH YELLOW SPRINGS, Ohio, May…

Artificial intelligence in surgery: Balancing precision with clinical wisdom

In the operating room, precision has never been greater. Modern surgery now relies on navigation systems, artificial intelligence, robotic assistance, digital planning platforms, a...

Patient specific optimization and planning of vertebral augmentation in osteoporosis: Finite element and Artificial Inte...

Osteoporotic Vertebral Compression Fractures (OVCFs) are responsible for significant disability, especially among individuals with low Bone Mineral Density (BMD). Although vertebra...

Acupuncture and arthroplasty 2026

Stimulated by Yuasa et al 2026.[1] AE – adverse eventTHA – total hip arthroplastyTKA – total knee arthroplastyIF – impact factorIV – intravenousCLAP – continuous local antibiotic p...

How I Learned To Trust AI as a Physical Therapist

If AI is going to be used in MSK care — or any area of healthcare — it needs clear, non-negotiable rules around it. The post How I Learned To Trust AI as a Physical Therapist appea...

Return to Sport and Exercise After Direct Anterior Approach Total Hip Arthroplasty: Minimum Five-Year Outcomes

Younger, more active patients increasingly undergo total hip arthroplasty (THA) and commonly inquire about expectations and timelines regarding return to sport (RTS) and exercise....