University of Houston

Deep reinforcement learning in medical imaging: A literature review

S. Kevin Zhou, Ngan Le, Khoa Luu et al.

2021 · 195 Zit.

An empirical investigation of the impact of ChatGPT on creativity

Byung Cheol Lee, Jaeyeon Chung

2024 · 103 Zit.

Application of machine learning in predicting survival outcomes involving real-world data: a scoping review

Yinan Huang, Jieni Li, Mai Suan Li et al.

2023 · 67 Zit.

Competencies for the Use of Artificial Intelligence in Primary Care

Winston Liaw, Jacqueline K. Kueper, Steven Lin et al.

2022 · 62 Zit.

Embracing the ChatGPT revolution: unlocking new horizons for tourism

Ji Shi, Minwoo Lee, V.G. Girish et al.

2024 · 58 Zit.

The Role of Artificial Intelligence on Tumor Boards: Perspectives from Surgeons, Medical Oncologists and Radiation Oncologists

Valerio Nardone, Federica Marmorino, Marco Maria Germani et al.

2024 · 44 Zit.

Ease of adoption of clinical natural language processing software: An evaluation of five systems

Kai Zheng, V. G. Vinod Vydiswaran, Yang Liu et al.

2015 · 43 Zit.

Adaptive Privacy Preserving Deep Learning Algorithms for Medical Data

Xinyue Zhang, Jiahao Ding, Maoqiang Wu et al.

2021 · 41 Zit.

Artificial Intelligence and Family Medicine: Better Together

Winston Liaw, Ioannis A. Kakadiaris

2020 · 38 Zit.

Advancing primary care with Artificial Intelligence and Machine Learning

Zhou Yang, Christina Silcox, Mark Sendak et al.

2021 · 38 Zit.

Treatment of Mild Traumatic Brain Injury with an Erythropoietin-Mimetic Peptide

Claudia S. Robertson, Roberto Garcia, Samson Sujit Kumar Gaddam et al.

2012 · 34 Zit.

Primary Care Artificial Intelligence: A Branch Hiding in Plain Sight

Winston Liaw, Ioannis A. Kakadiaris

2020 · 29 Zit.

Physician Adoption of AI Assistant

Ting Hou, Meng Li, Yinliang Tan et al.

2024 · 29 Zit.

AI-Enhanced Healthcare: Forging the Path towards Intelligent Well-being and the Cutting Edge Environment 4.0

Saurabh Pratap Singh Rathore, Ranadeep Reddy Palle, Harshit Bhardwaj et al.

2024 · 28 Zit.

Machine Learning Models for Abnormality Detection in Musculoskeletal Radiographs

Govind Chada

2019 · 22 Zit.