https://www.selleckchem.com/products/gw5074.html hism, discriminant function analysis was applied. Physiognomic ear length, physiognomic ear breadth, ear length above tragus, distances from tragus to antihelix (left ear only), and tragus to helix exhibited significant sex differences on both sides (p less then 0.05). Significant bilateral differences (p less then 0.05) were reported for all the measurements of the ear in males except for lobule height, whereas, significant side differences (p less then 0.05) were shown for ear length above tragus, distance from tragus to helix, and lobule width among females. The discriminant function model showed 82.10% accuracy for determining sexual dimorphism. The study highlighted sexual dimorphism and bilateral differences in ear morphometry in a north Indian population and provided a database of anthropometric variables in the human ear for forensic and anthropological uses. The entrance of Artificial Intelligence (AI) as a new actor in the doctor-patient relationship has encouraged important legal and ethi-cal considerations among the experts. On the one hand, there is the request to establish a new and dedicated legal background involving AI and AI-related technologies, while others believe there is no need to add new laws in the attempt to define AI's role in healthcare. The aim of this paper is to analyse the possible role of AI in civil liability in healthcare practice, underlining its limits of autonomy in a field where the attribution of liability cannot be uncertain. The entrance of Artificial Intelligence (AI) as a new actor in the doctor-patient relationship has encouraged important legal and ethi-cal considerations among the experts. On the one hand, there is the request to establish a new and dedicated legal background involving AI and AI-related technologies, while others believe there is no need to add new laws in the attempt to define AI's role in healthcare. The aim of this paper is to analyse the possible rol