Twin Cities Orthopedics

ChatGPT Goes to Law School

Jonathan H. Choi, Kristin E. Hickman, Amy Monahan et al.

2023 · 488 Zit.

Guest Editorial Explainable AI: Towards Fairness, Accountability, Transparency and Trust in Healthcare

Arash Shaban‐Nejad, Martin Michalowski, John S. Brownstein et al.

2021 · 65 Zit.

Toward Practices for Human-Centered Machine Learning

Stevie Chancellor

2023 · 37 Zit.

Creative and generative artificial intelligence for personalized medicine and healthcare: Hype, reality, or hyperreality?

Arash Shaban‐Nejad, Martin Michalowski, Simone Bianco

2023 · 10 Zit.

Applied artificial intelligence in healthcare: Listening to the winds of change in a post-COVID-19 world

Arash Shaban‐Nejad, Martin Michalowski, Simone Bianco et al.

2022 · 9 Zit.

Artificial Intelligence–Generated Writing in the ERAS Personal Statement: An Emerging Quandary for Post-graduate Medical Education

Hugh Burke, Rebecca Kazinka, Raghu Gandhi et al.

2024 · 9 Zit.

Unpacking Human and AI Complementarity: Insights from Recent Works

Yuqing Ren, Xuefei Deng, K.D. Joshi

2023 · 9 Zit.

The Growing Role for Semantic Segmentation in Urology

Jack Rickman, Griffin Struyk, Benjamin S. Simpson et al.

2021 · 8 Zit.

Utilizing ChatGPT to integrate world English and diverse knowledge: A transnational perspective in critical artificial intelligence (AI) literacy

Asmita Ghimire

2025 · 8 Zit.

Exploring artificial intelligence in orthopaedics: A collaborative survey from the ISAKOS Young Professional Task Force

Filippo Familiari, Adnan Saithna, Juan Pablo Martínez-Cano et al.

2025 · 7 Zit.

Cross-industry thematic analysis of generative AI best practices: applications and implications for surgical education and training

Hillary Lia, Angela Atkinson, Sergio M. Navarro

2024 · 5 Zit.

An overview of honesty testing for personnel selection

Paul R. Sackett

1985 · 4 Zit.

The Application of Artificial Intelligence in Lung Cancer Research

Fang Lei

2024 · 3 Zit.

Ability of artificial intelligence to identify self-reported race in chest x-ray using pixel intensity counts

John Lee Burns, Zachary Zaiman, Jack T. VanSchaik et al.

2023 · 3 Zit.

CancerLLM: a large language model in cancer domain

Mingchen Li, Zaifu Zhan, Jiatan Huang et al.

2026 · 2 Zit.