Zing Learn vs Tweris Mini

Zing learning management system is a software application for the administration, documentation, tracking, reporting, and delivery of educational courses, training programs, or learning and development programs. The learning management system concept emerged directly from e-Learning. ZingHR is brought to you by the Founders of Cnergyis, an enterprise HR Technologies, Outsourcing and Services Company, (providing complex and integrated employee lifecycle management solutions to large enterprises, using its proprietary Software-as-a-Service (SaaS) platform), and www.FileMyReturns.com, a pioneering system for electronically filing Income Tax returns, for the first time in 2002, (conceptualised for the Department of Income Tax, Government of India).

Tweris Mini is the first app released by Tweris® team composed of practising doctors and committed developers who aim to provide doctors and midwives with an AI-based, simple hand-held tool to guide them to detect and manage peripartum fetal hypoxia while interpreting fetal heart rate traces. Tweris Mini picture analysis algorithm has been trained on 5000+ fetal heart rate traces from several countries labelled by a world-renowned expert, and helps to diagnose 12 different key aspects of Physiological Interpretation of CTG traces: - Normal (No evidence of hypoxic stress) - Gradually evolving hypoxia -compensated - Gradually evolving hypoxia -decompensated - Chronical hypoxia - Subacute hypoxia - Acute hypoxia - Tardy deceleration (utero-placental insufficiency) - Quickie deceleration (umbilical cord compression) - Zigzag pattern - Sinusoidal pattern -typical - Sinusoidal pattern -atypical (Poole Shark Teeth) - Unstable baseline For each picture analysis prediction, Tweris Mini provides its degree of certainty and management advice according to the international consensus guidelines on physiological interpretation of CTG produced by 44 experts from 14 countries. Tweris Mini also incorporates a user-friendly interface for questions and discussion related to the analysis of cardiotocography by the users. Features • Fetal hear rate trace picture analysis • Detection of different types of fetal hypoxia • Fetal heart rate trace classification according to the international consensus guidelines on physiological interpretation of CTG • Management advice to address the identified CTG feature, based on algorithms developed by experts on Physiological interpretation of CTG. • Conversational bot This app does not replace medical judgment. Any medical decision must be made by a qualified healthcare professional.