Lung Institute

Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations

Joseph Alderman, Joanne Palmer, Elinor Laws et al.

2024 · 104 Zit.

Evaluating the performance of Generative Pre-trained Transformer-4 (GPT-4) in standardizing radiology reports

A Hasani, Shiva M. Singh, Aryan Zahergivar et al.

2023 · 78 Zit.

Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation

Michael Yeung, Leonardo Rundo, Nan Yang et al.

2022 · 69 Zit.

Functional Outcome Prediction in Acute Ischemic Stroke Using a Fused Imaging and Clinical Deep Learning Model

Yongkai Liu, Yannan Yu, Jiahong Ouyang et al.

2023 · 64 Zit.

What is the suitability of clinical vignettes in benchmarking the performance of online symptom checkers? An audit study

Austen El‐Osta, Iman Webber, Aos Alaa et al.

2022 · 40 Zit.

AI Hesitancy and Acceptability—Perceptions of AI Chatbots for Chronic Health Management and Long COVID Support: Survey Study

Philip Fei Wu, Charlotte Summers, Arjun Panesar et al.

2024 · 29 Zit.

Bias Mitigation in Primary Health Care Artificial Intelligence Models: Scoping Review

Maxime Sasseville, Steven Ouellet, Caroline Rhéaume et al.

2024 · 23 Zit.

Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results

Kelly Payette, Céline Steger, Roxane Licandro et al.

2024 · 18 Zit.

Machine learning with convolutional neural networks for clinical cardiologists

James P. Howard, Dárrel P. Francis

2021 · 16 Zit.

Patient views on asthma diagnosis and how a clinical decision support system could help: A qualitative study

Anne Canny, Eddie Donaghy, Victoria Murray et al.

2022 · 15 Zit.

Explainable AI (XAI) In Biomedical Signal and Image Processing: Promises and Challenges

Guang Yang, Arvind Rao, Christine Fernández-Maloigne et al.

2022 · 13 Zit.

A Clinical and Imaging Fused Deep Learning Model Matches Expert Clinician Prediction of 90-Day Stroke Outcomes

Yongkai Liu, Preya Shah, Yannan Yu et al.

2024 · 13 Zit.

Artificial Intelligence in Health Promotion and Disease Reduction: Rapid Review

Farzaneh Yousefi, Florian Naye, Steven Ouellet et al.

2025 · 9 Zit.

Trustworthy implementation of artificial intelligence in cardiology: a roadmap of the European Society of Cardiology

Folkert W. Asselbergs, Thomas F Lüscher

2024 · 9 Zit.

Deep learning in congenital heart disease imaging: hope but not haste

Rhodri Davies, Sonya V. Babu‐Narayan

2020 · 8 Zit.