TOGAI
(Transforming Global Health with AI)
Active
TOGAI builds intelligent health technologies for low-resource settings. In a world where over 4.5 billion people lack access to essential healthcare, TOGAI tackles critical gaps in diagnostics, specialist access, and information equity to harness the transformative potential of AI to improve people’s lives.
Through AI-powered task-shifting systems, low-cost diagnostic tools, and accessible health information, TOGAI transforms healthcare delivery in the Global South, making quality care more affordable and widely available.
Focus Area
Impact Area
Research Projects
AI-assisted Handheld Obstetrics Ultrasound Scanning by Non-Experts
AI-assisted Handheld Obstetrics Ultrasound Scanning by Non-Experts
Medical Image Analysis | Computer Vision | Healthcare Task-Shifting | Low-Resource AI | Maternal & Reproductive HealthDB
Assessing the Clinical Validity of Blind-Sweep Protocols for AI-Driven Ultrasound
Assessing the Clinical Validity of Blind-Sweep Protocols for AI-Driven Ultrasound
Computer Vision | AI in Maternal & Reproductive Health | Clinical AI ValidationAI-Powered Task-Shifting for High-Quality Fetal Ultrasound Service in Community Healthcare Settings
AI-Powered Task-Shifting for High-Quality Fetal Ultrasound Service in Community Healthcare Settings
Computer Vision | Healthcare Task-Shifting | Low-Resource AI | AI in Maternal & Reproductive HealthRKDB
AI-Powered Safe Abortion Information Chatbot.jpeg&w=1920&q=75)
AI-Powered Safe Abortion Information Chatbot
Conversational AI | Maternal & Reproductive Health | NLP &Text Analysis | Low-resource NLP | Healthcare AccessAI-Assisted Telehealth and Screening for Vision-, Hearing-, Oral, and Genetic Diseases
AI-Assisted Telehealth and Screening for Vision-, Hearing-, Oral, and Genetic Diseases
Medical Image Analysis | Computer Vision | Healthcare Task-Shifting | Clinical Decision Support | Public HealthRKMS
3D Reconstruction from Biplanar X-Ray
3D Reconstruction from Biplanar X-Ray
Medical Image Analysis | Computer Vision | 3D Reconstruction | Clinical Decision Support | Low-Resource AIDBMS
AI-Assisted Diarrheal Parasite Detection with Smartphone Microscopy
AI-Assisted Diarrheal Parasite Detection with Smartphone Microscopy
Medical Image Analysis | Computer Vision | Infectious Disease Genomics | Low-Resource AI | Public HealthSTUC
AI-assisted VIA Screening of Cervical Cancer
AI-assisted VIA Screening of Cervical Cancer
Medical Image Analysis | Computer Vision | Healthcare Task-Shifting | Clinical Decision SupportOnline Nepali Abusive Text Detection for Intimate Partner Violence Research
Online Nepali Abusive Text Detection for Intimate Partner Violence Research
NLP &Text Analysis | Low-resource NLPRADB
Automatic Spine Curvature Estimation from X-ray Images
Automatic Spine Curvature Estimation from X-ray Images
Medical Image Analysis | Computer Vision | Deep Learning | Clinical Decision SupportARRTAC
+2
Estimating Pesticide Concentration with Smartphone
Estimating Pesticide Concentration with Smartphone
Computer Vision | Low-Resource AI | Environmental MonitoringBGBKDB
Evaluating Nepali Sexual, Reproductive, and Maternal Health (SRMH) Chatbot with Large Language Models (LLMs)
Evaluating Nepali Sexual, Reproductive, and Maternal Health (SRMH) Chatbot with Large Language Models (LLMs)
Conversational AI | Natural Language Processing (Large Language Models) | Maternal & Reproductive Health | Healthcare AccessDBNVSK
Semi-Supervised Semantic Image Segmentation
Semi-Supervised Semantic Image Segmentation
Medical Image Analysis | Computer Vision | Deep LearningDBPU
Uncertainty Estimation in Semantic Segmentation of Ultrasound Images
Uncertainty Estimation in Semantic Segmentation of Ultrasound Images
Medical Image Analysis | Computer Vision | Healthcare Task-Shifting | AI RobustnessAKDBLD
Geometric Deep Learning on Graphs for EEG Datasets
Geometric Deep Learning on Graphs for EEG Datasets
Deep Learning | Neuroscience | Clinical Decision Support | Low-Resource AIDBHB
Motion Analysis for Clinical Classification of Dystonia Patients using Deep Learning
Motion Analysis for Clinical Classification of Dystonia Patients using Deep Learning
Computer Vision | Deep Learning | Neuroscience | Clinical Decision SupportDBDASB
+1
Members
Current Members
Alumni
Core Member
Dr. Bishesh Khanal
Founding Chairperson & Board of Directors & Research Scientist
Mahesh Shakya
Research Associate
Prasiddha Bhandari
Research Assistant
Nishant Luitel
Research Assistant
Krischal Khanal
Research Assistant
Kushal Paudel
Research Assistant
Bishram Acharya
Research Assistant
Prekshya Dawadi
Research Assistant
Angelina Ghimire
Research Assistant
Publications
2019
Complete Fetal Head Compounding from Multi-View 3D Ultrasound
Bishesh Khanal, Robert and Toussaint, Nicolas and Gomez, Alberto and Zimmer, Veronika and Matthew, Jacqueline and Skelton, Emily and, Bishesh Khanal, and Kainz, Bernhard and Reuckert, Daniel and Hajnal, Jo and Schnabel, Julia
2019
Image Reconstruction in a Manifold of Image Patches: Application to Whole-fetus Ultrasound Imaging
Alberto Gomez, Veronika Zimmer, Nicolas Toussaint, Robert Wright, James R. Clough, Bishesh Khanal, Milou Van Poppel, Emily Skelton, Jackie Matthews, and Julia A. Schnabel
2019
Towards whole placenta segmentation at late gestation using multi-view ultrasound images
Zimmer, Veronika and Gomez, Alberto and Skelton, Emily and Toussaint, Nicolas and Zhang, Tong and, Bishesh Khanal, and Wright, Robert and Noh, Yohan and Ho, Alison and Matthew, Jacqueline and Schnabel, Julia
2019
Confident Head Circumference Measurement from Ultrasound with Real-time Feedback for Sonographers
Buddhi Pathak, Samuel and Sinclair, Matthew and, Bishesh Khanal, and Matthew, Jacqueline and Llyod, David and Gomez, Alberto and Toussaint, Nicolas and Robinson, Emma and Kainz, Bernhard
2019
Adapted and Oversegmenting Graphs: Application to Geometric Deep Learning
Alberto Gomez, Veronika A. Zimmer, Bishesh Khanal, Nicolas Toussaint, Julia A. Schnabel
