Express Healthcare

Sheetal Chand launches Shealth.AI, aims to improve healthcare accessability

The platform leverages advanced technologies including private data vectors, GPT algorithms, prompt engineering, and imaging-based learning models to provide efficient healthcare services

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Sheetal Chand has announced the launch of Shealth.AI, a healthcare artificial intelligence (AI) startup with the aim to improve the quality of care while reducing costs and time, making primary healthcare more accessible and sustainable for everyone. The startup focuses on leveraging AI for healthcare solutions and aligns its Go-To-Market (GTM) strategy with the objective of enhancing healthcare delivery through advanced technology. The strategy includes deploying AI-driven tools such as virtual health assistants, medication management systems, and digital consultation services. These solutions are tailored to improve efficiency, accuracy, and patient outcomes in medical settings. The primary targets for Shealth are healthcare institutions including Hospitals, Clinics, Healthcare administrations, etc.

The GTM strategy involves direct engagement with these targets through partnerships, direct sales, and participation in healthcare conferences and seminars. Shealth.AI is backed by an undisclosed seed funding round from XVC. Tech, enabling the development and deployment of its cutting-edge technologies. 

The platform leverages advanced technologies including private data vectors, GPT algorithms, prompt engineering, and imaging-based learning models. It aims to reduce diagnostic costs by up to 30 per cent and diagnostic time by 50 per cent, offering more efficient and effective healthcare services. Reportedly, the beta.shealth.ai platform has already been adopted by several healthcare providers, with early results showing an 85 per cent increase in diagnostic accuracy and a 52 per cent improvement in patient outcomes.

Shealth.AI’s AI-driven tools, including virtual health assistants and imaging-based learning models, are set to redefine diagnostic practices. By automating complex tasks and providing real-time insights, these tools aim to empower healthcare providers to deliver faster and more precise diagnoses.

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