Development and evaluation of deep learning models for detecting and classifying various bone tumours in full-field limb radiographs using automated object detection models

Development and evaluation of deep learning models for detecting and classifying various bone tumours in full-field limb radiographs using automated object detection models

Author: AI Talks with Bone & Joint November 8, 2025 Duration: 4:13
Listen to Brian and Lisa discuss the paper 'Development and evaluation of deep learning models for detecting and classifying various bone tumours in full-field limb radiographs using automated object detection models' published in the September 2025 issue of Bone & Joint Research. Click here to read the paper. Be the first to know when the next episode is live! Follow our social media accounts, @BoneJointPortal and @BoneJointRes on X, and @bonejointres on Instagram for updates!

Keeping up with the latest orthopaedic research can feel like a full-time job. AI Talks with Bone & Joint is here to change that, offering a clear and concise entry point into the most significant studies published across the Bone & Joint family of journals. Each episode presents an AI-generated summary of a pivotal paper from *Bone & Joint 360*, *Bone & Joint Open*, or *Bone & Joint Research*, distilling complex findings into accessible overviews. This isn't about replacing deep reading, but rather providing an efficient primer. You'll hear a focused discussion on the core questions, methodologies, and conclusions of groundbreaking work, covering topics from surgical techniques and implant technology to rehabilitation, sports medicine, and public health initiatives in musculoskeletal care. Designed for surgeons, physiotherapists, medical students, and anyone with a professional or personal interest in bone and joint health, this podcast serves as your regular briefing from the frontiers of orthopaedic science. It’s a tool for sparking ideas, informing practice, and deciding which full papers warrant your further attention. Tune in to stay informed on the evidence shaping the future of patient care, all in a format that respects your time.
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