Respiratory Diseases Diagnosis Using Audio Analysis and Artificial Intelligence: A Systematic Review.

Respiratory diseases represent a significant global burden, necessitating efficient diagnostic methods for timely intervention. Digital biomarkers based on audio, acoustics, and sound from the upper and lower respiratory system, as well as the voice, have emerged as valuable indicators of respiratory functionality. Recent advancements in machine learning (ML) algorithms offer promising avenues for the identification and diagnosis of respiratory diseases through the analysis and processing of such audio-based biomarkers.

[Ulnar nerve pressure at the level of the elbow. Treatment by resection of the paratroclear apophysis].

The pressure of the ulnar nerve at the level of the elbow is a pathological situation which causes serious problems of use of the suffering upper limb to its patient. In this study a reference is made to the anatomy of the ulnar nerve, to the reasons and to the main anatomic points of pressure of the ulnar nerve on the elbow, to the clinical indications and to the subjective symptoms of the patient. The state of art according to the diagnosis and methods of treatment is reported.