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Our Focus

At iDoc.ai we are focused on harnessing the power of Artificial Intelligence and Data Science in Healthcare.

Our Mission

Our mission is to enable clinicians with the power of AI, enabling them to deliver – accurate, quick and affordable clinical outcomes for patients.

Our Client Speaks

A Glimpse

Type of Problems We Solve in Healthcare: An Example

Radiology problems AI can solve

Solutions

iDoc.ai is mainly focused on applying Artificial Intelligence across the healthcare ecosystem. The primary area is Medical Imaging (X-rays, Mammograms & CT-Scans). We are passionate about machine learning capabilities ( iML ) in Radiology with the concept of “Clinicians in the learning loop”. This is to infuse human intelligence and experience in our AI solutions for radiology.

A sketch of iDoc-X : Our Solution for Chest X-Rays ( CXR's )

  • Seamless integration with existing radiology set-up (PACS Viewer).
  • Classify and locate abnormalities in chest X-Rays.
  • Prioritise the urgent cases and send notifications.

iDoc-X : An AI solution for Radiology

A Glimpse of iDoc-X

AI solution for CXRs (Chest X-Rays)

Hospital Management Information System

iDoc-HMS is an AI-powered solution that unleashes quantum improvements in revenue cycle management and clinical processes productivity and attains time-to- service for healthcare institutions.

Artificial Intelligence

 At iDoc.ai, AiRAD family (pronounced as ‘AIR RAD’), Artificial Intelligence in Radiology, focuses on the detection of Chest Abnormalities, Breast Cancer Screening and Upper & Lower Limb Fractures.

AI-in-HMIS

iDoc-HMS and EHR

iDoc-HMS

iDoc-HMS is an AI powered solution from Teleglobal Consulting Ltd, UK, that helps healthcare delivery organisations look beyond traditional module-based applications and focus on a platform-based application that unleashes quantum improvements in revenue cycle management and clinical processes productivity and attains…

AI-in-Radiology

Oncology-iBCS

iDoc-X: Oncology

Breast cancer is the most common cancer in women both in the developed and less developed world and the second most common cancer overall. There were over 2 million new cases in 2018 as reported by Global Cancer Observatory, owned by the International Agency for Research on Cancer (IARC), 2018. Breast cancer early detection…

AI-in-HMIS

PACS viewer

iDoc-PACS

Our bespoke Picture Archiving and Communication System is a complete solution for mid size and small size hospitals. The solutions is AI driven PACS viewer and annotation tool to view the AI processed images in the Radiologist Cockpit / RIS. In the iDoc-PACS module, a Radiologist can view the…

AI-in-Radiology

Pulmonology-iTBD

iDoc-X: Pulmonology

Tuberculosis (TB) is one of the leading causes of death, having worldwide view.An estimation depicts that around one-quarter of world’s population is infected with TB. In 2017, more than 10 million cases of active TB had been reported which resulted  in 1.6 million deaths, mostly in…

AI-in-HMIS

Digitisation and AI in Healthcare

iDoc-Lx

iDoc-Lx, a specialised cost-effective, patient centric, quality focused, cloud-based solution for multi-location Diagnostic Imaging Centers, complimenting our flagship product iDoc-HMS. The key focus of the solution is the use of Technology in amalgamation with Lean Methodology for better outcomes…

AI-in-Radiology

iFRD - Bone & Joint fracture detection

Bone & Joint

iFRD is a triage solution for fracture detection on Upper Limbs (Wrist) and Lower Limbs (Ankle) with labels of “Fracture Present”, “Fracture Absent” or “Fracture Likely”. The triage system will work as a filter and intimate the Radiologist on the worklist for abnormal images. This system not only detects the fracture but also prioritised…

How it Works

Data Management:

  • Transformation from raw data to insightful data after conversion process
  • Translating medical domain requirements to AI design and development framework
  • Deploying stratified sampling to bridge the Qualitative-to-Quantitative gap in data handling process
  • Deploying Image re-sizing, intensity, and color saturation

AI Modelling:

  • Developing an algorithm for the real-world problems under the hood of computer vision
  • Feature extraction from image data at various levels such as computing Grayscale Pixel Values as Features, Mean Pixel Value of Channels, and Extracting Edges
  • Training of algorithm through Ground-Truthing activity by Radiologist/Clinician
  • Using Meta-Neurons to learn facts from a single training under CNN
  • Algorithm performance validation by Confusion Matrix and F1-score

Value Proposition:

  • Assist Radiologists to identify abnormalities at an earlier stage and prioritize urgent cases on the radiologist worklist
  • Assist clinicians to focus on clinical complex cases by assuming routine task as a classifier for Normal Cases
  • Provide high-quality medical imaging experience to enhance patient care
  • Effective & Efficient diagnostic care delivery in remote areas
  • Enhancement of Operational Efficiency for Hospitals, Diagnostics Centers, and Teleradiology service providers

Contact Info

Office: UK

Teleglobal Consulting LTD
UK Office: Basepoint Business Centre, Rivermead Drive
SWINDON Wiltshire UNITED KINGDOM SN5 7EX
Office: +44 (0)20 3667 3667
E-mail: info@teleglobalconsulting.com
Registered in England & Wales number 06996858

India

Teleglobal TechEdge Consulting (P) Ltd.
India Office: 3F-CS-06, Ansal Plaza Mall,
Vaishali Sector 1, Ghaziabad, UP 201010
Office: +91 (120) 4151760 | E-mail: info@teleglobalconsulting.com
Registered in India
CIN: U72300UP2015PTC068250

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