Flinders Medical Centre

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.

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.

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.

Artificial Intelligence Education for the Health Workforce: Expert Survey of Approaches and Needs

Kathleen Gray, John Slavotinek, Gerardo Luis Dimaguila et al.

2022 · 45 Zit.

An increasing number of convolutional neural networks for fracture recognition and classification in orthopaedics

Luisa Oliveira e Carmo, Anke van den Merkhof, Jakub Olczak et al.

2021 · 44 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 · 41 Zit.

Development and external validation of automated detection, classification, and localization of ankle fractures: inside the black box of a convolutional neural network (CNN)

Jasper Prijs, Zhibin Liao, Minh‐Son To et al.

2022 · 35 Zit.

Artificial intelligence fracture recognition on computed tomography: review of literature and recommendations

Lente H. M. Dankelman, Sanne Schilstra, Frank F. A. IJpma et al.

2022 · 32 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 · 29 Zit.

CNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification

Zhibin Liao, Kewen Liao, Haifeng Shen et al.

2022 · 23 Zit.

Generative AI chatbots for reliable cancer information: Evaluating web-search, multilingual, and reference capabilities of emerging large language models

Bradley D. Menz, Natansh D. Modi, Ahmad Y. Abuhelwa et al.

2025 · 23 Zit.