A deep learning tool matches Dixon imaging for paraspinal fat fraction quantification from standard MRI. The more clinically important finding: most of the relationship between muscle degeneration and disability operates through muscle endurance, not structural change directly.
Fracture healing assessment on serial X-rays is more subjective than it looks. A deep learning framework using YOLOv11 tracks callus formation and fracture-line changes across follow-up, with its clearest advantage at early postoperative stages when human reader agreement is lowest.
A validated ML tool estimates 1-year mortality risk at first presentation in elderly proximal humerus fracture patients, using data already available at the time of the injury. The output is for the consent conversation, not the operative decision.
ChatGPT-5 reproduces AO Spine DCM guidelines accurately for clinicians. For patients, it loses critical clinical details and consistently exceeds recommended reading levels — even when explicitly asked to simplify. This has implications for consent.
A 200-case evaluation of four LLMs on real spine surgery scenarios, scored by five spine surgeons, found significant performance differences between models. Gemini 2.5 Flash outperformed GPT-4o. Model choice is not cosmetic.
Before you read anything about the algorithm in this paper, consider the number it was built around: 31.1%. That is the proportion of elderly patients who were completely opioid-naïve before their hip fracture and were still collecting opioid prescriptions a year later. Nearly one in three. In a cohort of more than 26,000 patients drawn … Read more
A closer look at the evidence. A patient sits in front of you for a hip replacement consultation. You’ve reviewed the X-rays, taken a history, and confirmed the indication. Before you write in the notes, an algorithm has already estimated their 90-day complication risk, flagged potential issues with bone stock, and generated a templating plan … Read more