Mumbai hospital turns to AI for earlier brain disorder detection
Mumbai’s civic body is set to test AI brain disorder detection at KEM Hospital, with a 12-month pilot covering epilepsy and brain tumour patients to support faster diagnosis and post-surgery monitoring.
Early diagnosis can change the course of neurological care. Mumbai’s civic healthcare system is preparing to use artificial intelligence to support the diagnosis of brain disorders at KEM Hospital.
The pilot project will focus on patients with epilepsy and brain tumours, aiming to help doctors identify warning signs earlier and monitor how the brain changes after surgery. As part of the 12-month study, 150 patients will undergo AI-based assessments.
The technology will analyse medical information from MRI scans, CT scans and EEG tests. An EEG records the brain’s electrical activity and is commonly used in evaluating epilepsy.
What the pilot will study
The project is designed to assist doctors in reading complex neurological data more quickly and consistently. According to the available proposal details, AI will be used to help identify the nature of brain tumours, suspicious areas in the brain and the possible focal point of epilepsy, which refers to the area where seizures may begin.
The study will not stop at diagnosis. Patients will also be assessed after surgery at one, three and six months. This follow-up will help doctors evaluate changes in brain function over time and understand whether AI can support post-operative monitoring in a public hospital setting.
Cost, approval and implementation
The AI system has been developed by BrainsightAI Technology, a startup working in this area. The project is estimated to cost about Rs 4.99 crore and is expected to be presented for approval at the Standing Committee meeting.
If approved and found effective, the AI-based diagnostic facility could later be expanded to all civic-run hospitals in Mumbai. That would make the KEM pilot an important test case for the wider use of AI in municipal healthcare.
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Why it matters for patients
Brain disorders can be difficult to diagnose because symptoms may overlap with other conditions. In cases involving tumours or seizures, doctors often need to combine scan results, electrical activity readings and clinical symptoms before deciding the next step.
AI can help by processing large amounts of medical data and highlighting patterns that may need closer attention. However, the technology is meant to assist doctors, not replace them. Clinical judgement will remain central to treatment decisions, especially in cases where surgery or long-term neurological care is involved.
For Mumbai’s public health system, the pilot could offer useful evidence on whether AI can make neurological diagnosis faster, more accurate and easier to scale. Its success will depend not only on the software, but also on how effectively it fits into everyday hospital workflows.