Robotimize advisor urges ‘calibrated trust’ for AI and rehab tech

Zen Koh told a Kuala Lumpur symposium that healthcare technology only helps when clinicians match it to patient goals and judgment. His remarks at Universiti Malaya also pointed to a bigger challenge for AI adoption: building the training, workflows and support systems needed for sustainable care.

Why it matters: - Healthcare systems are moving faster into AI, digital care and robotics, but clinical value depends on how those tools are used. - Zen Koh’s message points to a growing need for “calibrated trust,” where clinicians know when to rely on technology and when to override it. - The issue matters for rehabilitation, where progress should be judged by patient goals, not only by data the system can measure.

What happened: - Zen Koh, scientific advisor to Robotimize Group and founder and CEO of MotusAcademy, spoke at the 2026 AAHCI Southeast Asia Talent Education Symposium. - The symposium took place Aug. 15–16 at Universiti Malaya in Kuala Lumpur under the theme “Digital Technology in Healthcare Education.” - Koh joined Forum 1: Personalised Healthcare and brought a technology and industry perspective to discussions on smart healthcare, connected care, health ecosystems and virtual care. - Koh used rehabilitation robotics to argue that more data does not automatically mean better care. - Kerry Guo, founder and CEO of Robotimize Group, said technology creates value only when clinicians can use it safely, confidently and consistently. - Robotimize Group said the discussion aligns with its rehabilitation technology approach and clinical partnerships.

The details: - Modern rehabilitation systems can measure force, movement, speed, repetitions and the amount of assistance given to a patient. - Koh said those data points matter only when clinicians interpret them in the context of what a patient is trying to achieve. - Koh described the principle of assistance-as-needed, which provides enough support for patients to complete meaningful movement while keeping them actively engaged. - Koh said future healthcare workers will need more than technical skill with AI tools. - Future clinicians will need to understand limitations, interpret data in context and remain accountable for patient decisions. - Koh said successful health-tech deployment depends on clinical protocols, staff training, maintenance, cybersecurity, technical support, software updates and outcome measurement. - Koh said a successful pilot is not the same as sustainable adoption. - In his view, real-world care increasingly extends beyond hospitals into rehabilitation centers, community services and homes. - He said measures such as range of motion, gait speed and treatment repetitions can miss whether a person can work, cook, move independently or take part in family life. - Koh said personalization should start with the patient’s goals and use technology to support those goals. - Robotimize Group said its ecosystem, VivantePlexus™, and its strategic partnerships portfolio, ACE™, support clinician-led rehabilitation, functional training and technology-enabled care pathways across institutional and community settings. - Robotimize Group said product availability, indications and use depend on regulatory approvals and local clinical requirements. - The company is headquartered in Singapore and specializes in intelligent rehabilitation robotics and digital neurotechnologies. - More information is available in the company's announcement.

Between the lines: - Koh’s remarks suggest the next phase of health tech is less about what devices can do and more about whether health systems can absorb them reliably. - The emphasis on “calibrated trust” also reflects a broader tension in AI: faster data and recommendations do not remove the need for human judgment. - The talk frames personalization as an outcome question, not just a measurement question, which could influence how hospitals and educators evaluate digital tools.

What’s next: - Healthcare education is likely to place more emphasis on how clinicians interpret AI output, manage risk and decide when to trust automation. - Rehab and digital health vendors will need to prove that their systems can work beyond pilots and into routine care. - Koh said ongoing advances in robotics, sensing and AI will increase precision, but the central question will remain whether technology serves the patient’s real recovery goals.

The bottom line: - In rehab and AI-enabled care, the winning technology is not the most advanced one. It is the one clinicians can use consistently, safely and with judgment.