Development of Algorithms for Automated Detection of Cervical Pre-Cancers With a Low-Cost, Point-of-Care, Pocket Colposcope. - Mercy Nyamewaa Asiedu; Anish K. Simhal; Usamah N. Chaudhary; Jenna L. Mueller; Christopher T. Lam; John W. Schmitt; Gino Venegas; Guillermo Sapiro; Nimmi Ramanujam (IEEE Trans. Biomed. Eng., 2019)

Combining multiple contrasts for improving machine learning-based classification of cervical cancers with a low-cost point-of-care Pocket colposcope. - Mercy Nyamewaa Asiedu; Erica Skerrett; Guillermo Sapiro; Nirmala Ramanujam (EMBC, 2020)

Network-Agnostic Knowledge Transfer for Medical Image Segmentation. - Shuhang Wang; Vivek Kumar Singh 008; Alex Benjamin; Mercy Asiedu; Elham Yousef Kalafi; Eugene Cheah; Viksit Kumar; Anthony E. Samir (CoRR, 2021)

Prior wavelet knowledge for multi-modal medical image segmentation using a lightweight neural network with attention guided features. - Vivek Kumar Singh 008; Elham Yousef Kalafi; Shuhang Wang; Alex Benjamin; Mercy Nyamewaa Asiedu; Viksit Kumar; Anthony E. Samir (Expert Syst. Appl., 2022)

Machine Learning for Health (ML4H) 2023. - Stefan Hegselmann; Antonio Parziale; Divya Shanmugam; Shengpu Tang; Kristen Severson 001; Mercy Nyamewaa Asiedu; Serina Chang; Bonaventure F. P. Dossou; Qian Huang; Fahad Kamran; Haoran Zhang 003; Sujay Nagaraj; et al. (ML4H@NeurIPS, 2023)

Globalizing Fairness Attributes in Machine Learning: A Case Study on Health in Africa. - Mercy Nyamewaa Asiedu; Awa Dieng; Abigail Oppong; Maria Nagawa; Sanmi Koyejo; Katherine A. Heller (CoRR, 2023)

Machine Learning for Health symposium 2023 - Findings track. - Stefan Hegselmann; Antonio Parziale; Divya Shanmugam; Shengpu Tang; Mercy Nyamewaa Asiedu; Serina Chang; Thomas Hartvigsen; Harvineet Singh (CoRR, 2023)

The Case for Globalizing Fairness: A Mixed Methods Study on Colonialism, AI, and Health in Africa. - Mercy Nyamewaa Asiedu; Awa Dieng; Iskandar Haykel; Negar Rostamzadeh; Stephen Pfohl; Chirag Nagpal; Maria Nagawa; Abigail Oppong; Sanmi Koyejo; Katherine A. Heller (EAAMO, 2024)

Impact of Large Language Model Assistance on Patients Reading Clinical Notes: A Mixed-Methods Study. - Niklas Mannhardt; Elizabeth Bondi-Kelly; Barbara D. Lam; Chloe O'Connell; Mercy Asiedu; Hussein Mozannar; Monica Agrawal; Alejandro Buendia; Tatiana Urman; Irbaz B. Riaz; Catherine E. Ricciardi; Marzyeh Ghassemi; et al. (CoRR, 2024)

A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models. - Stephen R. Pfohl; Heather Cole-Lewis; Rory Sayres; Darlene Neal; Mercy Nyamewaa Asiedu; Awa Dieng; Nenad Tomasev; Qazi Mamunur Rashid; Shekoofeh Azizi; Negar Rostamzadeh; Liam G. McCoy; Leo Anthony Celi; et al. (CoRR, 2024)

Contextual Evaluation of Large Language Models for Classifying Tropical and Infectious Diseases. - Mercy Nyamewaa Asiedu; Nenad Tomasev; Chintan Ghate; Tiya Tiyasirichokchai; Awa Dieng; Oluwatosin Akande; Geoffrey Siwo; Steve Adudans; Sylvanus Aitkins; Odianosen Ehiakhamen; Eric Ndombi; Katherine A. Heller (CoRR, 2024)

Nteasee: A mixed methods study of expert and general population perspectives on deploying AI for health in African countries. - Mercy Nyamewaa Asiedu; Iskandar Haykel; Awa Dieng; Kerrie Kauer; Tousif Ahmed; Florence Ofori; Charisma Chan; Stephen Pfohl; Negar Rostamzadeh; Katherine A. Heller (CoRR, 2024)

AfriMed-QA: A Pan-African, Multi-Specialty, Medical Question-Answering Benchmark Dataset. - Tobi Olatunji; Charles Nimo; Abraham Toluwase Owodunni; Tassallah Abdullahi; Emmanuel Ayodele; Mardhiyah Sanni; Chinemelu Aka; Folafunmi Omofoye; Foutse Yuehgoh; Timothy Faniran; Bonaventure F. P. Dossou; Moshood Yekini; et al. (CoRR, 2024)

AfriMed-QA: A Pan-African, Multi-Specialty, Medical Question-Answering Benchmark Dataset. - Charles Nimo; Tobi Olatunji; Abraham Toluwase Owodunni; Tassallah Abdullahi; Emmanuel Ayodele; Mardhiyah Sanni; Ezinwanne C. Aka; Folafunmi Omofoye; Foutse Yuehgoh; Timothy Faniran; Bonaventure F. P. Dossou; Moshood O. Yekini; et al. (ACL (1), 2025)

Nteasee: Understanding Needs in AI for Health in Africa - A Mixed-Methods Study of Expert and General Population Perspectives. - Mercy Asiedu; Iskandar Haykel; Awa Dieng; Kerrie Kauer; Tousif Ahmed; Florence Ofori; Charisma Chan; Stephen Pfohl; Negar Rostamzadeh; Katherine A. Heller (FAccT, 2025)

MedGemma Technical Report. - Andrew Sellergren; Sahar Kazemzadeh; Tiam Jaroensri; Atilla P. Kiraly; Madeleine Traverse; Timo Kohlberger; Shawn Xu; Fayaz Jamil; Cían Hughes; Charles Lau; Justin Chen; Fereshteh Mahvar; et al. (CoRR, 2025)