Drexel University

Explainable AI for Designers: A Human-Centered Perspective on Mixed-Initiative Co-Creation

Jichen Zhu, Antonios Liapis, Sebastian Risi et al.

2018 · 235 Zit.

Explainable Artificial Intelligence for Predictive Modeling in Healthcare

Christopher C. Yang

2022 · 201 Zit.

Impact of Big Data and Artificial Intelligence on Industry: Developing a Workforce Roadmap for a Data Driven Economy

Marina Johnson, Rashmi Jain, Peggy Brennan-Tonetta et al.

2021 · 159 Zit.

Artificial Intelligence and Healthcare: A Journey through History, Present Innovations, and Future Possibilities

Rahim Hirani, Kaleb Noruzi, Hassan Khuram et al.

2024 · 145 Zit.

The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

Satyapriya Krishna, Tessa Han, Alex Gu et al.

2023 · 144 Zit.

The HR analytics cycle: a seven-step process for building evidence-based and ethical HR analytics capabilities

Salvatore Falletta, Wendy L. Combs

2020 · 92 Zit.

A visual analytic study of retracted articles in scientific literature

Chaomei Chen, Zhigang Hu, Jared B. J. Milbank et al.

2012 · 73 Zit.

Deduplicating records in systematic reviews: there are free, accurate automated ways to do so

Nathália Sernizon Guimarães, Andrêa Jacqueline Fortes Ferreira, Rita de Cássia Ribeiro‐Silva et al.

2022 · 68 Zit.

Radiology Gets Chatty: The ChatGPT Saga Unfolds

Harpreet Singh Grewal, Gagandeep Dhillon, Varun Monga et al.

2023 · 67 Zit.

Understanding Biases and Disparities in Radiology AI Datasets: A Review

Satvik Tripathi, K. R. Gabriel, Suhani Dheer et al.

2023 · 63 Zit.

Accused: How students respond to allegations of using ChatGPT on assessments

Tim Gorichanaz

2023 · 58 Zit.

Applications and challenges of artificial intelligence in diagnostic and interventional radiology

Joseph Waller, A. D. O'Connor, Eleeza Raafat et al.

2022 · 58 Zit.

Truth or Lies? The Pitfalls and Limitations of ChatGPT in Systematic Review Creation

Daniel Najafali, Justin M. Camacho, Erik Reiche et al.

2023 · 45 Zit.

A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly

Yifan Yao, Jinhao Duan, Kaidi Xu et al.

2023 · 44 Zit.

A Review of Applications of Machine Learning in Mammography and Future Challenges

Sai Batchu, Fan Liu, Ahmad Amireh et al.

2021 · 39 Zit.