Howard University

Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions

Ashish Rauniyar, Desta Haileselassie Hagos, Debesh Jha et al.

2023 · 214 Zit.

Recent Advances in Trustworthy Explainable Artificial Intelligence: Status, Challenges, and Perspectives

Atul Rawal, James McCoy, Danda B. Rawat et al.

2021 · 186 Zit.

Digital twin for credit card fraud detection: opportunities, challenges, and fraud detection advancements

Pushpita Chatterjee, Debashis Das, Danda B. Rawat

2024 · 96 Zit.

Automated Outcome Classification of Computed Tomography Imaging Reports for Pediatric Traumatic Brain Injury

Kabir Yadav, Efsun Sarioglu, Hyeong‐Ah Choi et al.

2016 · 42 Zit.

A Conceptual Framework for Applying Ethical Principles of AI to Medical Practice

Debesh Jha, Görkem Durak, Vanshali Sharma et al.

2025 · 24 Zit.

No computation without representation: Avoiding data and algorithm biases through diversity

Caitlin Kuhlman, Latifa Jackson, Rumi Chunara

2020 · 17 Zit.

Artificial intelligence and conversational agent evolution – a cautionary tale of the benefits and pitfalls of advanced technology in education, academic research, and practice

Curtis C. Cain, Carlos D. Buskey, Gloria Washington

2023 · 16 Zit.

Artificial Intelligence as a Dynamic Copilot in Entrepreneurship Education

Joseph D. Fox, Luke Pittaway, Ikenna Uzuegbunam

2024 · 8 Zit.

Assessing artificial intelligence responses to common patient questions regarding inflatable penile prostheses using a publicly available natural language processing tool (ChatGPT).

Nader Shayegh, Danae Byer, Yasmine Griffiths et al.

2024 · 8 Zit.

Evaluating explainable artificial intelligence (XAI): algorithmic explanations for transparency and trustworthiness of ML algorithms and AI systems

Utsab Khakurel, Danda B. Rawat

2022 · 5 Zit.

Practical and Ethical Considerations for Generative AI in Medical Imaging

Debesh Jha, Ashish Rauniyar, Desta Haileselassie Hagos et al.

2024 · 5 Zit.

The Data Science Mentoring Fire Next Time

Latifa Jackson, Heriberto Acosta Maestre

2020 · 4 Zit.

From knowledge generation to knowledge verification: examining the biomedical generative capabilities of ChatGPT

Ahmed Abdeen Hamed, Alessandro Crimi, Magdalena Misiak et al.

2025 · 4 Zit.

Transforming Healthcare: A Comprehensive Approach to Mitigating Bias and Fostering Empathy through AI-Driven Augmented Reality

Erica Okeh

2024 · 3 Zit.

Equity In The Preparation Of Students For Software Engineering Coding Interviews: ChatGPT as a Mock Interviewer

Marlon Mejias, Zef Vargas, William Ted Edwards et al.

2023 · 3 Zit.