Can a Surgical Vulnerability Score Predict Outcomes of Hip Reconstruction in Children with Severe Neuromuscular Disability?

Background: Hip surgery is often necessary for children with severe neuromuscular disabilities to avoid chronic pain resulting from hip migration. This study correlated the Surgical Vulnerability Score (SVS), a novel measure of physiological reserve, with reconstructive hip surgery outcomes to improve shared surgical decision-making.

Materials And Methods: Sixty-eight cases performed by a single surgeon were retrospectively evaluated.

Regulatory Aspects of Artificial Intelligence and Machine Learning.

In the realm of health care, numerous generative and nongenerative artificial intelligence and machine learning (AI-ML) tools have been developed and deployed. Simultaneously, manufacturers of medical devices are leveraging AI-ML. However, the adoption of AI in health care raises several concerns, including safety, security, ethical biases, accountability, trust, economic impact, and environmental effects.

How to clip a gastrocutaneous fistula.

We present a simple, yet effective, approach for surgically managing chronic gastrocutaneous fistulas. This procedure can be easily performed under local anaesthesia if needed. Our derived experience is largely based on gastrocutaneous fistulas, but we have also used this approach on small bowel fistulas.

Deep learning(s) in gaming disorder through the user-avatar bond: A longitudinal study using machine learning.

Background And Aims: Gaming disorder [GD] risk has been associated with the way gamers bond with their visual representation (i.e., avatar) in the game-world.