Additive manufacturing pertaining to bone: Hopes, reality and future challenges for clinical applications

B Charbonnier, M Hadida, D Marchat - Acta Biomaterialia, 2021 - Elsevier
For the past 20 years, the democratization of additive manufacturing (AM) technologies has
made many of us dream of: low cost, waste-free, and on-demand production of functional …

Blending space and time to talk about cancer in extended reality

TJ Robb, Y Liu, B Woodhouse, C Windahl… - NPJ digital …, 2024 - nature.com
We introduce a proof-of-concept extended reality (XR) environment for discussing cancer,
presenting genomic information from multiple tumour sites in the context of 3D tumour …

The effect of different styles of medical illustration on information comprehension, the perception of educational material and illness beliefs

A Krasnoryadtseva, N Dalbeth, KJ Petrie - Patient education and …, 2020 - Elsevier
Objective To explore how the addition of a medical illustration and its style affected
information comprehension, perception of educational material and illness beliefs. Methods …

Clinical, Cultural, Computational, and Regulatory Considerations to Deploy AI in Radiology: Perspectives of RSNA and MICCAI Experts

MG Linguraru, S Bakas, M Aboian… - Radiology: Artificial …, 2024 - pubs.rsna.org
The Radiological Society of North of America (RSNA) and the Medical Image Computing
and Computer Assisted Intervention (MICCAI) Society have led a series of joint panels and …

Assessing the impact of 3D image segmentation workshops on anatomical education and image interpretation: A prospective pilot study

MR Jinga, RBY Lee, KL Chan… - Anatomical Sciences …, 2023 - Wiley Online Library
Abstract Three‐dimensional (3D) segmentation, a process involving digitally marking
anatomical structures on cross‐sectional images such as computed tomography (CT), and …

Information recall in pre-operative consultation for glioma surgery using actual size three-dimensional models

S Sezer, V Piai, RPC Kessels, M Ter Laan - Journal of clinical medicine, 2020 - mdpi.com
Three-dimensional (3D) technologies are being used for patient education. For glioma, a
personalized 3D model can show the patient specific tumor and eloquent areas. We aim to …

Low prevalence search for cancers in mammograms: Evidence using laboratory experiments and computer aided detection.

MA Kunar, DG Watson, S Taylor-Phillips… - Journal of Experimental …, 2017 - psycnet.apa.org
People miss a large proportion of targets when they only appear rarely. This Low
Prevalence (LP) Effect could lead to serious consequences if it occurred in the real-world …

Obesity-related knowledge and body mass index: a national survey in Portugal

A Henriques, A Azevedo, N Lunet… - Eating and Weight …, 2020 - Springer
Purpose Obesity-related knowledge predicts weight control but previous studies only
comprise individuals with excessive weight and assess very specific aspects of knowledge …

Framing the fallibility of Computer-Aided Detection aids cancer detection

MA Kunar, DG Watson - Cognitive Research: Principles and Implications, 2023 - Springer
Abstract Computer-Aided Detection (CAD) has been proposed to help operators search for
cancers in mammograms. Previous studies have found that although accurate CAD leads to …

Development and validation of the health visual information preference scale

ASK Jones, M Kleinstäuber, LR Martin… - British journal of …, 2019 - Wiley Online Library
Objective Patients are likely to have individual preferences for learning about health, which
may influence their comprehension and utilization of health information. Some patients may …