Healthcare is increasingly moving from a reactive model of treating diseases after symptoms appear to a more proactive approach focused on early detection and prevention. Artificial intelligence is playing an important role in this shift, helping healthcare professionals analyse medical images, patient data and diagnostic information faster and more efficiently. Across India, healthtech companies are developing AI-led solutions that can support screening, identify potential health risks and enable timely intervention.
Here are five Indian healthtech companies using AI to contribute to the evolving landscape of earlier disease detection:
1. Forus Health
Forus Health is transforming eye care by bringing together advanced ophthalmic imaging and intelligent AI to move healthcare from detection to prevention. Its advanced imaging devices capture high-definition images of the retina, while its AI solutions, supported by a secure cloud platform, analyse these images to support the detection of a growing range of ocular and systemic diseases.
By turning retinal and ocular images into actionable health insights, Forus Health enables healthcare professionals to identify potential risks earlier, support timely intervention and extend screening beyond traditional eye conditions. From diabetic retinopathy and glaucoma to indicators associated with systemic health conditions, its AI-powered ecosystem helps unlock the eye’s potential as a window to overall health.
Its vision extends beyond smarter devices to building an intelligent healthcare ecosystem where AI, imaging and clinical expertise come together to make screening more accessible, detection more proactive and healthcare more preventive.
2. Niramai Health Analytix
Niramai Health Analytix is using AI and thermal imaging to transform breast cancer screening. Its technology, Thermalytix, analyses thermal images of the breast using artificial intelligence to identify patterns associated with abnormalities.
The non-invasive approach is designed to support early screening without radiation or physical contact, potentially making breast health screening more accessible and comfortable. By combining thermal imaging with AI-based analysis, Niramai is contributing to efforts to detect potential breast abnormalities at an earlier stage.
3. SigTuple
SigTuple is bringing AI into digital pathology to help transform the way diagnostic samples are analysed. Its technology combines automated microscopy, artificial intelligence and cloud-based solutions to analyse medical samples and generate digital insights for healthcare professionals.
By digitising pathology workflows and using AI to assist with image analysis, SigTuple aims to improve the speed, consistency and scalability of diagnostic processes. This can help clinicians identify abnormalities more efficiently and support faster clinical decision-making.
4. Dozee
Dozee is using AI and contactless monitoring technology to enable continuous observation of patients. Its platform captures vital health parameters without requiring conventional wired monitoring systems and uses AI to analyse patient data.
By continuously tracking parameters and generating alerts when concerning changes are detected, the technology can help healthcare teams identify early signs of deterioration and intervene sooner. This approach demonstrates how AI can support not only diagnosis but also proactive patient monitoring.
5. Ayati Devices
Ayati Devices is developing technology focused on improving the early detection of complications associated with diabetic foot conditions. Its diagnostic solutions use technology and AI-enabled analysis to help assess factors such as neuropathy and vascular health.
With diabetes affecting millions of people in India, early identification of foot-related complications can be important in preventing progression and more serious outcomes. By bringing technology-enabled screening closer to patients, Ayati Devices is working to make diabetic foot assessment more accessible and proactive.
Together, these companies demonstrate how AI is expanding the possibilities of healthcare- from retinal imaging and breast screening to digital pathology, continuous monitoring and diabetic care. As these technologies evolve, AI could play an increasingly important role in helping India move towards a healthcare model where risks are identified earlier and intervention begins sooner.
