Abstract: The invention relates to a method of identifying, from a number of ultrasound images (34) acquired during an ultrasound examination of a subject (6), the ultrasound image best suited to analyze a pre-determined anatomical structure of the subject. The method comprises the steps of (a) Providing a number of ultrasound images (34) acquired during an ultrasound examination of the subject; (b) Deriving at least one biometric parameter (96) related to the anatomical structure from a physical examination of the subject, (c) Retrieving a reference image (38) showing a target view of the anatomical structure (35); (d) For each of the number of ultrasound images (34), calculating an image similarity index between the ultrasound image and the reference image, (e) For at least the ultrasound image(s) having the best image similarity index, determining (100) a biometric parameter from the ultrasound image, and calculating a biometric similarity index, i.e.

Abstract: The disclosure presents a DiNC system and method to contextually communicate and share data amongst networked healthcare entities. It is configured to dynamically design virtual enablement services for the networked healthcare entities. DiNC is a service focused arrangement where communication is core to effect healthcare delivery. It allows user interaction both in context of a case management or in general communication. These interactions can be performed using multiple communication channels. It also facilitates healthcare services between the patients, who visit hospital and present in remote areas, with hospitals and doctors. The services provided are one amongst a catalog including but not limited to appointment scheduling, virtual doctor consultation, care follow ups of the patients and maintaining the case history of individual patients. It can predicts possible treatment outcome and possible epidemic outbreak.