Flinders University

Opening the black box of neural networks: methods for interpreting neural network models in clinical applications

Zhongheng Zhang, Marcus W. Beck, David A. Winkler et al.

2018 · 281 Zit.

Artificial intelligence chatbots will revolutionize how cancer patients access information: ChatGPT represents a paradigm-shift

Ashley M. Hopkins, Jessica M. Logan, Ganessan Kichenadasse et al.

2023 · 253 Zit.

Role of Artificial Intelligence within the Telehealth Domain

Craig Kuziemsky, Anthony Maeder, Oommen John et al.

2019 · 175 Zit.

Presenting artificial intelligence, deep learning, and machine learning studies to clinicians and healthcare stakeholders: an introductory reference with a guideline and a Clinical AI Research (CAIR) checklist proposal

Jakub Olczak, John Pavlopoulos, Jasper Prijs et al.

2021 · 127 Zit.

Unveiling the landscape of generative artificial intelligence in education: a comprehensive taxonomy of applications, challenges, and future prospects

Agariadne Dwinggo Samala, Soha Rawas, Tianchong Wang et al.

2024 · 108 Zit.

A comprehensive review of machine learning algorithms and their application in geriatric medicine: present and future

Richard Woodman, Arduino A. Mangoni

2023 · 106 Zit.

Current safeguards, risk mitigation, and transparency measures of large language models against the generation of health disinformation: repeated cross sectional analysis

Bradley D. Menz, Nicole M. Kuderer, Stephen Bacchi et al.

2024 · 85 Zit.

Health Disinformation Use Case Highlighting the Urgent Need for Artificial Intelligence Vigilance

Bradley D. Menz, Natansh D. Modi, Michael J. Sorich et al.

2023 · 81 Zit.

The MAP Client: User-Friendly Musculoskeletal Modelling Workflows

Ju Zhang, Hugh Sorby, John G. Clement et al.

2014 · 81 Zit.

Artificial intelligence in orthopaedics: false hope or not? A narrative review along the line of Gartner’s hype cycle

Jacobien H. F. Oosterhoff, Job N. Doornberg

2020 · 76 Zit.

Is Deep Learning On Par with Human Observers for Detection of Radiographically Visible and Occult Fractures of the Scaphoid?

David W. G. Langerhuizen, Anne Eva J. Bulstra, Stein J. Janssen et al.

2020 · 76 Zit.

Developing, purchasing, implementing and monitoring AI tools in radiology: practical considerations. A multi-society statement from the ACR, CAR, ESR, RANZCR & RSNA

Adrian P. Brady, Bibb Allen, Jaron Chong et al.

2024 · 71 Zit.

Feasibility of Machine Learning and Logistic Regression Algorithms to Predict Outcome in Orthopaedic Trauma Surgery

Jacobien H.F. Oosterhoff, Benjamin Y. Gravesteijn, Aditya V. Karhade et al.

2021 · 49 Zit.

Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement from the ACR, CAR, ESR, RANZCR and RSNA

Adrian P. Brady, Bibb Allen, Jaron Chong et al.

2024 · 47 Zit.

An Intelligent and Explainable SaaS-Based Intrusion Detection System for Resource-Constrained IoMT

Ahamed Aljuhani, Abdulelah Alamri, Prabhat Kumar et al.

2023 · 46 Zit.