The impact of multidisciplinary cancer conferences on overall survival: a meta-analysis

RS Huang, A Mihalache, A Nafees… - JNCI: Journal of the …, 2024 - academic.oup.com
Background Multidisciplinary cancer conferences consist of regular meetings between
diverse specialists working together to share clinical decision making in cancer care. The …

Should artificial intelligence be used in conjunction with Neuroimaging in the diagnosis of Alzheimer's disease?

S Mirkin, BC Albensi - Frontiers in Aging Neuroscience, 2023 - frontiersin.org
Alzheimer's disease (AD) is a progressive, neurodegenerative disorder that affects memory,
thinking, behavior, and other cognitive functions. Although there is no cure, detecting AD …

Multimodal healthcare AI: identifying and designing clinically relevant vision-language applications for radiology

N Yildirim, H Richardson, MT Wetscherek… - Proceedings of the CHI …, 2024 - dl.acm.org
Recent advances in AI combine large language models (LLMs) with vision encoders that
bring forward unprecedented technical capabilities to leverage for a wide range of …

Rethinking the role of AI with physicians in oncology: revealing perspectives from clinical and research workflows

H Verma, J Mlynar, R Schaer, J Reichenbach… - Proceedings of the …, 2023 - dl.acm.org
Significant and rapid advancements in cancer research have been attributed to Artificial
Intelligence (AI). However, AI's role and impact on the clinical side has been limited. This …

The unintended consequences of artificial intelligence in paediatric radiology

P Ciet, C Eade, ML Ho, LB Laborie, N Mahomed… - Pediatric …, 2024 - Springer
Over the past decade, there has been a dramatic rise in the interest relating to the
application of artificial intelligence (AI) in radiology. Originally only 'narrow'AI tasks were …

Sketching AI Concepts with Capabilities and Examples: AI Innovation in the Intensive Care Unit

N Yildirim, S Zlotnikov, D Sayar, JM Kahn… - Proceedings of the CHI …, 2024 - dl.acm.org
Advances in artificial intelligence (AI) have enabled unprecedented capabilities, yet
innovation teams struggle when envisioning AI concepts. Data science teams think of …

The impact of AI suggestions on radiologists' decisions: a pilot study of explainability and attitudinal priming interventions in mammography examination

MH Rezazade Mehrizi, F Mol, M Peter, E Ranschaert… - Scientific reports, 2023 - nature.com
Various studies have shown that medical professionals are prone to follow the incorrect
suggestions offered by algorithms, especially when they have limited inputs to interrogate …

Imaging Artificial Intelligence: A Framework for Radiologists to Address Health Equity, From the AJR Special Series on DEI

MA Davis, N Lim, J Jordan, J Yee… - American Journal of …, 2023 - Am Roentgen Ray Soc
Artificial intelligence (AI) holds promise for helping patients access new and individualized
health care pathways while increasing efficiencies for health care practitioners. Radiology …

“Role of radiology in a multidisciplinary approach to patient care”: summary of the ESR International Forum 2022

… of Radiology (ESR) communications@ myesr. org - Insights into …, 2023 - Springer
Abstract At the ESR International Forum 2022, held at ECR 2022 (July 16 in Vienna, Austria)
different views, initiatives, and ideas from participating societies were presented with regard …

Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology

A Thieme, A Rajamohan, B Cooper… - arXiv preprint arXiv …, 2024 - arxiv.org
Nasogastric tubes (NGTs) are feeding tubes that are inserted through the nose into the
stomach to deliver nutrition or medication. If not placed correctly, they can cause serious …