The adoption of artificial intelligence (AI)-driven technologies is accelerating across Asia’s healthcare landscape. Investments into healthcare generative AI in Asia-Pacific (excluding Japan) are set to double over 2025 to 2026, driven by the rapid deployment of use cases, more curated clinical data, and growing organisational buy-in.

In China alone, the market for AI-powered healthcare solutions is expected to reach ¥315 billion by 2033 from ¥8.8 billion in 2023, or a compound annual growth rate of 43.1%.

We take a look at five recent case studies of how leading hospitals in Asia are applying AI across different points of care — from diagnostic imaging and decision support to patient engagement and administrative efficiency – and how these are supporting the delivery of safer, smart care.

Bangkok Hospital, Thailand — AI Mirror for contactless vital-sign screening

Bangkok Hospital – the flagship facility of Thailand’s largest private hospital network BDMS – is piloting an ‘AI mirror’ for quick and accurate vital signs assessment. Leveraging AI and facial scanning technology, the mirror captures key health metrics such as heart rate, respiratory rate, blood pressure, and oxygen saturation through a 45-second facial scan of the patient.

This translates to a less invasive and more efficient experience for patients, while also reducing staff workloads around routine screening processes. The hospital plans to further enhance the device’s capabilities, for example through the addition of temperature sensors for contactless body temperature measurement.

FV Hospital, Vietnam — AI in radiosurgery

In mid-2025, FV Hospital announced its investment of nearly VND 200 billion in a next-generation AI-integrated radiosurgery platform.

A non-invasive approach to cancer treatment, radiosurgery uses precise radiation beams to destroy tumours. Equipped with AI, the platform is capable of continuously adjusting radiation beam positioning in real time to track tumour motion caused by respiration or internal organ movement – eliminating the need for traditional immobilisation devices or breath-hold techniques commonly required by conventional radiotherapy systems. This reduces treatment time by up to 50% while enhancing treatment quality and significantly minimising side effects, the hospital noted.

Said Dr Jean-Marcel Guillon, CEO of FV Hospital: “With this investment, the Hy Vong Cancer Centre at FV Hospital will officially advance to a new level, becoming a pioneering centre in cancer treatment in the region.”

Hallym University Sacred Heart Hospital, Korea – AI in clinical documentation

For clinicians at Hallym University Sacred Heart Hospital, completing patient medical record documentation now takes just seconds.

The hospital’s Gen AI platform, HAI, is linked with 97 categories of patient data within the hospital information system. At a click of a button, the system automatically generates a draft based on the latest patient data, including nursing notes and major test results from the past 24 hours.

One neurologist estimates that the system saves him 90 minutes a day, equivalent to 20 to 30 days a year. If scaled across all departments, the tool could help save about 83,000 hours annually – valuable time which can then be redirected toward research, teaching, or direct patient care.

National University Health System, Singapore – AI in dementia care and prevention

Dementia cases are set to rise in Singapore as the population rapidly ages. However, early signs of cognitive decline can be easily overlooked. Over 51% of cases remain undetected, leading to missed opportunities for prevention and early intervention.

A research team from the National University Health System (NUHS) aims to address the underdiagnosis of dementia through AI, community partnerships and global expertise. It is developing an AI-powered large language model (LLM), trained on anonymised real-world data from NUHS’s DISCOVERY AI platform, to identify individuals at risk of mild cognitive impairment and dementia. 

The team will also deploy Asia’s first digital Brain Care Tool, which combines the Brain Care Score – a holistic measure of brain health, and the Brain Care Coach, an AI-powered tool that delivers personalised nudges, tracks progress, and motivates users to adopt brain-protective behaviours.

St. Luke’s Medical Center, Philippines — AI in Acute Stroke Imaging & Decision Support

In stroke care, each second counts. Within minutes of restriction of blood flow to the brain or a burst blood vessel, brain cells begin to die, and the risk of long-term brain damage or death steadily increases.

St. Luke’s Medical Center has introduced its Rapid AI technology – the first and only of its kind in the Philippines – to speed up stroke diagnosis and ensure timely intervention. The tool helps detect minor or subtle signs of stroke which may be overlooked, such as dizziness or confusion. The hospital also utilises AI in the analysis of CT and MRI scans, providing doctors with precise and rapid patient assessments so they can quickly determine the best course of treatment.