Specialty: Orthopaedic Surgery
Sub-specialties: Adult Reconstruction Service
Conditions Treated by this Doctor:
Enhanced Recovery After Surgery (ERAS) Hip and Knee Replacement, Hip and Knee Osteoarthritis, Joint Replacement, Knee Arthritis and Hip Arthritis, Knee Arthroplasty, Minimally Invasive Surgery (MIS) Joint Replacement, Outpatient Total and Unicompartmental Knee Replacement (Day Surgery), Robotic-assisted Hip Arthroplasty, Robotic-assisted Knee Arthroplasty, Total Hip Replacement, Total Hip Replacement (Direct Anterior Approach), Total Knee Replacement.
Dr Liow has been awarded the Nurturing Clinician Scientist Scheme grant in 2020 to study the use of artificial intelligence in Orthopaedic imaging. He is currently interested in immunopathology of osteoarthritis, medical device development for osteoarthritis treatment, use of augmented reality in orthopaedic surgery and arthroplasty related biomechanics.
He is constantly studying the clinical outcomes of primary and revision knee and hip arthroplasty to provide the best care for his patients
RESEARCH GRANTSFY2020 Singhealth Duke-NUS Musculoskeletal Sciences Academic Clinical Programme Nurturing Clinician Scientist Scheme (NCSS) Research Support Grant – 13/FY2020/P1/18-A33Quantum: S$225,000
RESEARCH AND CLINICAL TRIALS AS PRINCIPAL INVESTIGATOR (ONGOING)
CIRB Ref No. : 2020/2866Protocol Title : A Propective Randomised, Controlled Clinical Trial to Compare the Functional Outcomes of Patients Undergoing Total Knee Replacement Using the Zimmer-Biomet Persona Total Knee System with Cruciate-Retaining or Medial Congruent Bearing
CIRB Ref No. : 2020/2750Protocol Title : A Review of the Functional Outcomes and Quality of Life after Revision Total Hip Arthroplasty
CIRB Ref No. : 2020/2237Protocol Title : A Review of the Functional Outcomes and Quality of Life after Revision Total Knee Arthroplasty
CIRB Ref No. : 2020/2316Protocol Title : Cost-Effectiveness of Robot-Assisted Total Knee Arthroplasty: A Markov Decision Analysis
CIRB Ref No. : 2019/2878Protocol Title : Enhancing appropriateness of surgical referral to improve accessibility and value in knee osteoarthritis: Development and validation of a deep-learning algorithm