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Vision

About LMD & Dr. Piush Choudhry

At Layveer Medical Division, we envision a future in which human intelligence, cognitive physiology, surgical science, and artificial intelligence work together to enhance safety, decision-making, and human well-being. Our vision is to contribute to the development of intelligent systems that not only process information but also understand context, adapt responsibly, and remain aligned with human values. Through interdisciplinary research and innovation, we aim to advance a new generation of human-centered technologies that support clinicians, empower patients, and help shape a safer, more ethical future for healthcare and high-stakes human–machine collaboration.

Dr. Piush Choudhry is a General surgeon trained in Laparoscopic Surgery. Author of 'Step by Step Arterial Surgery', 2013, & 'Doctors: The Living', 2016. Published health articles, JMAS, Indian Journal of Neurosciences. Author of the 'Intelligence Reflex'. Pursued a Post Graduate program in Artificial Intelligence and Deep Learning.

  • Association of Surgeons of India
  • Delhi Medical Association
  • Indian Association of Gastro Intestinal Surgeons
  • Dr. Choudhry Hospital, Shahjahanpur
Layveer Medical Division (LMD) is an Independent Research and Innovation Initiative

Apps

APPS BY Layveer Medical Division

NeuroWeave: Cognitive Scan LMDTM (Android App)

NeuroWeave is a next-generation cognitive visualization app designed to simulate real-time neural signal patterns over a 10-second passive scan.

Using a dynamic signal model, NeuroWeave analyzes patterns of arousal, stability, and divergence to provide meaningful insights into your cognitive state.

The system generates a Cognitive Reflex Index (CRI), representing how aligned and responsive your mental state is during the scan.

Key Features: • 10-second passive cognitive scan • Real-time dynamic signal visualization • Arousal, Stability, and Divergence metrics • Cognitive Reflex Index (CRI) scoring • Scientific and simplified interpretations • Smooth, minimal, and immersive interface

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LayveerHCI (Mac OS App)

Explore real-time visualizations of human–AI interaction. Designed for research, learning, and conference demonstrations in human-centered AI.

LayveerHCI is a macOS application designed for visual exploration of human–computer interaction signals. The app presents real-time graphical patterns that allow users to observe and interpret interaction dynamics without automated analysis, recommendations, or prescriptive outputs. All processing occurs locally on the device. The app does not use third-party AI services and does not collect, store, share, or transmit any user data.

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LMDTM Sentinels (Mac OS App)

A new paradigm in AI-driven cognitive monitoring: dynamic, adaptive, and ethically reflexive.

LMD™ Sentinel is an experimental cognitive-state monitoring system powered by Ethically Reflexive Artificial Intelligence (ERAI). Developed under the Layveer Medical Division, the application introduces a novel approach to interpreting human cognitive dynamics through adaptive, real-time AI inference rather than direct physiological measurement. The system continuously evaluates behavioral variability and simulated cognitive signals to generate dynamic insights into mental state and reflexive response patterns. Key Features: • Cognitive Load Index (CLI) estimation • Decision Stability analysis • Reflex Latency monitoring • Adaptive Ethical Risk indicator (Low / Moderate / High) • Real-time Cognitive Variability Timeline

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Layveer HCI Monitor (Android App)

Layveer HCI Monitor is a specialized application designed for observing, analyzing, and understanding human–computer interaction patterns in real time. It enables users to explore how individuals interact with digital interfaces through behavioral signals, interaction timing, and performance-related indicators in non-medical contexts.

The app focuses on interaction behavior, usage dynamics, and system engagement patterns, providing valuable insights for researchers, developers, analysts, and advanced users interested in performance observation and interaction analytics.

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More Apps

ERIF-MED new symptom based analysis for diagnosis and management. Please click the image below to enlarge.


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AI-powered chest X-ray analysis platform. Please click the image below to enlarge.


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