Nirmal Ravi

According to our database, Nirmal Ravi authored at least 6 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Mapping the potential and limitations of using generative AI technologies to address socio-economic challenges in LMICs.

Rachel Adams, Fola Adeleke, Leah Junck, Ayantola Alayande, Aarushi Gupta, Urvashi Aneja, Samuel T. Segun, Rosalind Parkes-Ratanshi, Selam Abdella, Mark Gaffley, Scott Mahoney, Rirhandzu Makamu, Nana Eghele Adade, Liping Bian, Timothy Kintu, Atwine Mugume, Aline Germani, Michelle El Kawak, Bheeshma Patel, Olanrewaju Lawa, Sara Khalid, Olubayo Adekanmbi, Rasheedat Sikiru, Toyib Ogunremi, Farhan Yusuf, Hanna Minaye, Imo Etuk, Jimmy Nsenga, Uma Urs, Marzia Zaman, Khondaker Abdullah Al Mamun, Vivian Resende, Pedro Henrique Faria Silva Trocoli-Couto, Rositsa Zaimova, Mamadou Alpha Diallo, Nana Kofi Quakyi, Xiao Fan Liu, Daudi Jjingo, Imad Elhajj, Joyce Nakatumba-Nabende, Tamlyn Eslie Roman, Maryam Mustafa, Brenda Hendry, Yogesh Hooda, Chinazo Anebelundu, Bishesh Khanal, Faisal Sultan, Nirmal Ravi, Darlington Akogo, Zameer Brey, Dave Cohen, Joshua Proctor, Essa Mohamedali, Nneka Mobisson, Amelia V. Taylor, Joao Archegas, Amrita Mahale, Neal Lesh, Enrica Duncan, Theofrida J. Maginga, Hugo M. P. Morales, Henrique Dias Pereira dos Santos, Tue Vo, Trang TH Nguyen, Robert Korom, Michael Leventhal, Shashi Jain, Livia Maria de Oliveira Ciabati, Praveen Devarsetty, Jane Hirst, Ankita Sharma, Moinul Chowdhury, Henrique Araujo Lima, Caroline Govathson, Sarah Morris

Nat. Comput. Sci., May, 2026

2025

MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks.

Suhana Bedi, Hejie Cui, Miguel Fuentes, Alyssa Unell, Michael Wornow, Juan M. Banda, Nikesh Kotecha, Timothy Keyes, Yifan Mai, Mert Oez, Hao Qiu, Shrey Jain, Leonardo Schettini, Mehr Kashyap, Jason Alan Fries, Akshay Swaminathan, Philip Chung, Fateme Nateghi, Asad Aali, Ashwin Nayak, Shivam Vedak, Sneha S. Jain, Birju S. Patel, Oluseyi Fayanju, Shreya J. Shah, Ethan Goh, Dong-han Yao, Brian Soetikno, Eduardo Pontes Reis, Sergios Gatidis, Vasu Divi, Robson Capasso, Rachna Saralkar, Chia-Chun Chiang, Jenelle A. Jindal, Tho Pham, Faraz Ghoddusi, Steven Lin, Albert S. Chiou, Christy Hong, Mohana Roy, Michael F. Gensheimer, Hinesh Patel, Kevin Schulman, Dev Dash, Danton Char, Lance Downing, François Grolleau, Kameron C. Black, Bethel Mieso, Aydin Zahedivash, Wen-Wai Yim, Harshita Sharma, Tony Lee, Hannah Kirsch, Jennifer Lee, Nerissa Ambers, Carlene Lugtu, Aditya Sharma, Bilal Mawji, Alex Alekseyev, Vicky Zhou, Vikas Kakkar, Jarrod Helzer, Anurang Revri, Yair Bannett, Roxana Daneshjou, Jonathan H. Chen, Emily Alsentzer, Keith E. Morse, Nirmal Ravi, Nima Aghaeepour, Vanessa Kennedy, Akshay Chaudhari, Thomas Wang, Sanmi Koyejo, Matthew P. Lungren, Eric Horvitz, Percy Liang, Mike Pfeffer, Nigam H. Shah

CoRR, May, 2025

2024

How to reload and upgrade digital health to serve the healthcare needs of Nigerians.

Nirmal Ravi, Christy Thomas, Juliet Odogwu

Frontiers Digit. Health, 2024

An LLM's Medical Testing Recommendations in a Nigerian Clinic: Potential and Limits of Prompt Engineering for Clinical Decision Support.

Grady McPeak, Anja Sautmann, Ohia George, Adham Hallal, Eduardo Arancón Simal, Aaron L. Schwartz, Jason Abaluck, Nirmal Ravi, Robert Pless

Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

2022

Trust in data-requesting organizations - A quantitative analysis on cultural antecedents and individual-level perceptions.

Clara Sophie Jenkner, Nirmal Ravi, Marie Gabel, Jacqueline-Charlene Vogt

Electron. J. Inf. Syst. Dev. Ctries., 2022

2021

Development and Validation of Manually Modified and Supervised Machine Learning Clinical Assessment Algorithms for Malaria in Nigerian Children.

Megan McLaughlin, Karell G. Pellé, Samuel V. Scarpino, Aisha Giwa, Ezra Mount-Finette, Nada Haidar, Fatima Adamu, Nirmal Ravi, Adam Thompson, Barry Heath, Sabine Dittrich, Barry Finette

Frontiers Artif. Intell., 2021