Thai University RankingsRESEARCH RADAR
AI, health data, digital tools, and innovation connecting technology with health services.
Ordered by latest publication date
An international CHNRI exercise asked 51 experts to score 155 research ideas on feasibility, disease-burden impact, paradigm-shift potential, implementation and equity. Highest priorities included outbreak prediction, infectious-disease dia…
Artificial intelligence (AI) adoption within logistics organizations remains uneven despite increasing digital transformation initiatives in emerging economies. This study investigates respondent-perceived organizational AI readiness profil…
OBJECTIVE: This scoping review aimed to map the existing evidence on the application of artificial intelligence and machine learning in detecting suicidal ideation and related suicide outcomes, including suicide plans and suicide attempts, …
Multiple sclerosis (MS) arises from an autoimmune response in which the immune system erroneously targets myelin autoantigens within the central nervous system, leading to myelin degradation and subsequent neurological dysfunction. Identify…
< 0.01 with Cohens d ranging from 0.57 to 1.38. Length from tubercle to rib head with d = 1.38, distance from tubercle to internal margin with d = 1.17, and weight with d = 0.94 showed strongest discrimination. Comparative analysis revealed…
This umbrella review aimed to synthesize and critically appraise high-level evidence on the effectiveness of digital health interventions across the chronic kidney disease (CKD) continuum, encompassing predialysis, dialysis, and kidney tran…
The application of image processing techniques for plant variety identification has grown substantially over the past two decades, driven by the increasing availability of digital plant imagery and global focus on biodiversity conservation.…
This study proposed an artificial intelligence framework for red tilapia weight-range classification from UAV-based aerial imagery using two hybrid deep learning models, namely Hybrid CNN-XGBoost and Hybrid EfficientNet-B0-XGBoost. Two imag…
This study explores the motivations influencing knowledge sharing among lawyers and legal counsels in intellectual property (IP) law firms in Thailand. IP law firms represent a knowledge-intensive professional service context in which legal…
Cardiovascular disease risk prediction models are often evaluated primarily by discrimination, although translational decision making depends on well-calibrated probabilities, subgroup reliability, and demonstrated clinical utility at actio…
Accurate streamflow prediction is crucial for water resources management under increasing climate variability. This study compares the performance of Random Forest (RF) and Extreme Gradient Boosting (XGBoost) across 24 river basins with var…
The marine capture fisheries sector of the Philippines employs approximately 2.3 million Filipinos, yet recent declines (including a 15.3% drop in Q1 2026 production relative to Q1 2025) underscore the need for forecasting systems resolved …
The construction industry in India, a key driver of economic growth contributing significantly to GDP and employment, faces persistent issues such as project delays, cost overruns, labour shortages, safety concerns, and low productivity. Ar…
Background/Objectives: Osteoporosis is a major public health concern associated with increased fracture risk and reduced quality of life if not detected at an early stage. Automated analysis of knee X-ray images using artificial intelligenc…
Fine particulate matter with an aerodynamic diameter of 2.5 μm or smaller (PM2.5) is a major environmental health risk that threatens individuals’ health, quality of life, and sustainable well-being. In the digital era, protective behaviors…
The use of artificial intelligence in mental health services is experiencing rapid development and is increasingly widespread across clinical, community, and digital service contexts (Bickman, 2020...
The study assessed the implementation of the CheckPD app in 10 provinces through a combination of public health volunteers, dispatch and self-use. It shows that a population-level neurological disease screening system can be connected to th…
This narrative review article explores Explainable AI, or AI that can explain the reasoning behind results. To help reduce black box limitations and increase confidence in applying AI to root canal treatment.
Artificial intelligence (AI) adoption within logistics organizations remains uneven despite increasing digital transformation initiatives in emerging economies. This study investigates respondent-perceived organizational AI readiness profil…
The application of image processing techniques for plant variety identification has grown substantially over the past two decades, driven by the increasing availability of digital plant imagery and global focus on biodiversity conservation.…
This umbrella review aimed to synthesize and critically appraise high-level evidence on the effectiveness of digital health interventions across the chronic kidney disease (CKD) continuum, encompassing predialysis, dialysis, and kidney tran…
This study proposed an artificial intelligence framework for red tilapia weight-range classification from UAV-based aerial imagery using two hybrid deep learning models, namely Hybrid CNN-XGBoost and Hybrid EfficientNet-B0-XGBoost. Two imag…
This study explores the motivations influencing knowledge sharing among lawyers and legal counsels in intellectual property (IP) law firms in Thailand. IP law firms represent a knowledge-intensive professional service context in which legal…
Cardiovascular disease risk prediction models are often evaluated primarily by discrimination, although translational decision making depends on well-calibrated probabilities, subgroup reliability, and demonstrated clinical utility at actio…
Background/Objectives: Osteoporosis is a major public health concern associated with increased fracture risk and reduced quality of life if not detected at an early stage. Automated analysis of knee X-ray images using artificial intelligenc…
OBJECTIVE: This scoping review aimed to map the existing evidence on the application of artificial intelligence and machine learning in detecting suicidal ideation and related suicide outcomes, including suicide plans and suicide attempts, …
The use of artificial intelligence in mental health services is experiencing rapid development and is increasingly widespread across clinical, community, and digital service contexts (Bickman, 2020...
Multiple sclerosis (MS) arises from an autoimmune response in which the immune system erroneously targets myelin autoantigens within the central nervous system, leading to myelin degradation and subsequent neurological dysfunction. Identify…
< 0.01 with Cohens d ranging from 0.57 to 1.38. Length from tubercle to rib head with d = 1.38, distance from tubercle to internal margin with d = 1.17, and weight with d = 0.94 showed strongest discrimination. Comparative analysis revealed…
The marine capture fisheries sector of the Philippines employs approximately 2.3 million Filipinos, yet recent declines (including a 15.3% drop in Q1 2026 production relative to Q1 2025) underscore the need for forecasting systems resolved …
Fine particulate matter with an aerodynamic diameter of 2.5 μm or smaller (PM2.5) is a major environmental health risk that threatens individuals’ health, quality of life, and sustainable well-being. In the digital era, protective behaviors…
The construction industry in India, a key driver of economic growth contributing significantly to GDP and employment, faces persistent issues such as project delays, cost overruns, labour shortages, safety concerns, and low productivity. Ar…
Accurate streamflow prediction is crucial for water resources management under increasing climate variability. This study compares the performance of Random Forest (RF) and Extreme Gradient Boosting (XGBoost) across 24 river basins with var…