Artificial Intelligence (AI) is rapidly changing the way healthcare providers approach diagnosis. From analysing medical images and identifying abnormalities to supporting radiologists and improving reporting workflows, AI is helping healthcare organisations manage growing diagnostic volumes while enabling faster and more consistent clinical decision-making.
The technology is particularly gaining momentum in medical imaging, where AI can analyse X-rays, CT scans, MRI studies and other diagnostic data to assist healthcare professionals in detecting abnormalities and prioritising critical cases.
As healthcare systems increasingly adopt AI-driven solutions, several companies are developing technologies that are reshaping the diagnostic landscape.
Here are five companies using AI to transform diagnostics and medical imaging.
1. mlHealth360
mlHealth360 is a global healthtech company focused on transforming radiology and medical imaging through AI-powered diagnostic and workflow solutions. Its platform combines cloud-based imaging infrastructure with AI tools designed to support image analysis, anomaly detection, workflow management and reporting.
The company’s product portfolio includes DetectCT, which flags anomalies across critical anatomical regions including the head, chest, abdomen and pelvis; BrainCT, which supports brain segmentation and anomaly detection; and BrainCT-ICH, which identifies different types of intracranial haemorrhages through slice-by-slice CT analysis. mlHealth360 also offers a GenAI-powered reporting solution designed to convert AI-generated imaging insights into structured diagnostic reports.
With integrations supporting PACS, HIS, HL7 and FHIR environments, mlHealth360 is positioning AI as an integrated component of the medical imaging workflow rather than as a standalone diagnostic tool.
2. Qure.ai
Qure.ai is an India-founded healthcare AI company developing solutions that assist clinicians in interpreting medical images and detecting abnormalities. Its technology is particularly focused on chest X-rays, head CT scans and tuberculosis screening, with AI tools designed to support faster detection and clinical decision-making.
The company’s solutions can analyse medical images and flag suspected abnormalities, helping healthcare providers prioritise cases and support radiologists in high-volume environments.
Qure.ai‘s focus on scalable AI-based screening has also made it relevant in settings where access to specialist radiology expertise can be limited, allowing AI to support diagnostic workflows across different healthcare environments.
3. 5C Network
5C Network is an AI-native radiology company founded in Bengaluru that combines artificial intelligence with a network of radiologists to deliver end-to-end diagnostic services.
Its Bionic AI platform supports different stages of the radiology workflow, including image analysis, pathology detection, reporting and quality control. The company says its network serves more than 2,000 healthcare facilities and processes more than 15,000 scans per day, with AI working alongside more than 400 specialist radiologists.
The company’s approach is notable because it combines AI technology with human radiologist expertise rather than positioning AI as a replacement for clinical interpretation. This human-plus-AI model is designed to improve reporting speed, consistency and accessibility across healthcare facilities.
4. Niramai
Niramai is an Indian healthtech company using AI and thermal imaging technology for breast cancer screening. Its approach uses thermal images and artificial intelligence to identify patterns that may indicate abnormalities in breast tissue.
The company’s technology is designed as a non-invasive and radiation-free screening approach, potentially making breast health screening more accessible in different healthcare settings.
By combining thermal imaging with AI-based analysis, Niramai represents a different application of AI in diagnostics — moving beyond conventional X-ray and CT-based imaging toward alternative imaging technologies that can support early detection and screening.
5. SigTuple
SigTuple is an Indian healthcare technology company developing AI-powered diagnostic solutions with a focus on pathology and microscopy. Its technology uses computer vision and artificial intelligence to analyse medical images and assist laboratory professionals with diagnostic workflows.
The company’s solutions are designed to digitise and automate aspects of pathology, helping healthcare providers analyse samples more efficiently and consistently.
By applying AI to pathology and laboratory diagnostics, SigTuple demonstrates how the impact of healthcare AI is expanding beyond radiology into other areas where diagnostic workloads are increasing and specialist expertise is in demand.
The Future of Diagnostics Is AI-Assisted
The growing adoption of AI across radiology, pathology and medical imaging signals a broader transformation in healthcare diagnostics. Companies such as mlHealth360, Qure.ai, 5C Network, Niramai and SigTuple are applying AI to different stages of the diagnostic journey — from image analysis and abnormality detection to screening, workflow automation and reporting.
The goal is not to replace doctors and radiologists, but to provide them with intelligent tools that can help process information faster, identify potential abnormalities and manage growing diagnostic workloads.
As AI technologies continue to mature and become more deeply integrated into healthcare infrastructure, AI-assisted diagnostics are likely to become an increasingly important part of delivering faster, scalable and accessible healthcare.
