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VITALVIEW AI PRIVATE LIMITED

KSUM recognised
Thiruvananthapuram, Kerala
Sector Healthcare
Industry Healthcare IT
Business model B2B
Technology AI / ML Manufacturing Sensors
Location Thiruvananthapuram, Kerala
Founded 2024

Team

Amal Shehu
Amal Shehu
Founder
Samal Shehu
Samal Shehu
Other Core Team member

Product 1

VitalView AI VitalView AI hyperspecializing in root canal diagnostics through precise, AI-driven imaging insights. Our platform streamlines treatment planning, offering accurate, real-time data for consistent diagnostics, adaptable globally for diverse clinical needs. Sector Healthcare Industry Healthcare IT Model B2B Technology AI / ML Manufacturing Sensors
VitalView AI

VitalView AI is a dedicated diagnostic platform that delivers precision-focused insights for dental clinicians, designed to enhance accuracy in complex procedures like root canal treatments. When a clinician uploads X-rays or other relevant files, the platform’s advanced AI processes the images, extracting key measurements—such as canal length, tooth alignment metrics, and apical foramen location—automatically and with high accuracy. This reduces manual errors, allowing clinicians to rely on detailed, data-backed insights.

The Evidence-Based Differential Diagnosis feature synthesizes patient data, such as clinical notes and lab results, to generate a prioritized list of potential conditions, each accompanied by confidence scores to indicate the likelihood of each diagnosis. Additionally, annotated references link directly to reputable sources like PubMed, aligning diagnostic insights with established clinical knowledge. For real-time treatment planning, Clinical Decision Support offers recommendations based on guideline adherence and notifies clinicians of critical findings, supported by diagnostic algorithms that account for patient history and comorbidities.

VitalView AI also includes AI-Powered Research Tools that enable clinicians to access the latest research insights and relevant literature, powered by specialized AI agents. This combination of patient data and external research supports fully informed decision-making, ensuring clinicians have the tools they need to deliver accurate, evidence-based care in a streamlined, efficient workflow.

Sector Healthcare Industry Healthcare IT Model B2B Technology AI / ML Manufacturing Sensors
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