Jacksonville College

Evaluating the performance of large language models: <scp>ChatGPT</scp> and Google Bard in generating differential diagnoses in clinicopathological conferences of neurodegenerative disorders

Shunsuke Koga, Nicholas B. Martin, Dennis W. Dickson

2023 · 75 Zit.

Cardiovascular Disease Screening in Women: Leveraging Artificial Intelligence and Digital Tools

Demilade A. Adedinsewo, Amy W. Pollak, Sabrina D. Phillips et al.

2022 · 72 Zit.

Establishing key research questions for the implementation of artificial intelligence in colonoscopy: a modified Delphi method

Omer F. Ahmad, Yuichi Mori, Masashi Misawa et al.

2020 · 67 Zit.

Knowledge, attitude, and perception of Arabmedical students towards artificial intelligence in medicine and radiology: Amulti-national cross-sectional study

Ahmed Hafez Allam, Nael Kamel Eltewacy, Yasmeen Jamal Alabdallat et al.

2023 · 59 Zit.

When vision meets reality: Exploring the clinical applicability of GPT-4 with vision

Jiawen Deng, Kiyan Heybati, Matthew Shammas‐Toma

2024 · 41 Zit.

Artificial intelligence in clinical settings: a systematic review of its role in language translation and interpretation

Ariana Genovese, Sahar Borna, Cesar A. Gomez-Cabello et al.

2024 · 39 Zit.

The Potential of ChatGPT in Medical Education: Focusing on USMLE Preparation

Shunsuke Koga

2023 · 31 Zit.

Creating High Fidelity Synthetic Pelvis Radiographs Using Generative Adversarial Networks: Unlocking the Potential of Deep Learning Models Without Patient Privacy Concerns

Bardia Khosravi, Pouria Rouzrokh, John P. Mickley et al.

2022 · 31 Zit.

Evaluating the efficacy of few‐shot learning for GPT‐4Vision in neurodegenerative disease histopathology: A comparative analysis with convolutional neural network model

Daisuke Ono, Dennis W. Dickson, Shunsuke Koga

2024 · 23 Zit.

The status of digital pathology and associated infrastructure within Alzheimer’s Disease Centers

Rebeca Scalco, Yamah Hamsafar, Charles L. White et al.

2023 · 20 Zit.

A snapshot of artificial intelligence research 2019–2021: is it replacing or assisting physicians?

Mahmoud Elmahdy, Ronnie Sebro

2023 · 19 Zit.

Beyond Post hoc Explanations: A Comprehensive Framework for Accountable AI in Medical Imaging Through Transparency, Interpretability, and Explainability

Yashbir Singh, Quincy A. Hathaway, Varekan Keishing et al.

2025 · 17 Zit.

Mitigating Bias in Clinical Machine Learning Models

Julio C. Perez-Downes, Andrew S. Tseng, Keith Mcconn et al.

2024 · 16 Zit.

Current State of Community-Driven Radiological AI Deployment in Medical Imaging

Vikash Gupta, Barbaros S. Erdal, Carolina Ramirez et al.

2024 · 14 Zit.

Early Machine-human Interface around Sepsis Severity Identification: From Diagnosis to Improved Management?

Vikas Bansal, Emir Festić, Muhammad Asif Mangi et al.

2018 · 13 Zit.