David Chen
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View article: Free‐Breathing Multi‐Slice Co‐Registered Cardiac <scp>T1</scp> , <scp>T2</scp> , and <scp>ADC</scp> Mapping With Spin‐Echo Echo Planar Imaging
Free‐Breathing Multi‐Slice Co‐Registered Cardiac <span>T1</span> , <span>T2</span> , and <span>ADC</span> Mapping With Spin‐Echo Echo Planar Imaging Open
Purpose To develop a free‐breathing method for multi‐slice co‐registered cardiac T1, T2, and ADC maps using single‐shot spin‐echo echo planar imaging (SE‐EPI). Methods T1, T2, and diffusion weighted images in five slices were acquired with…
View article: AEBP2-Directed H3K27me2 Defines a Specific Vulnerability in EZH2-mutant Lymphoma
AEBP2-Directed H3K27me2 Defines a Specific Vulnerability in EZH2-mutant Lymphoma Open
The catalytic subunit of Polycomb Repressive Complex 2 (PRC2), EZH2, is recurrently mutated in 25% of diffuse large B-cell lymphomas (DLBCL), causing increased H3K27me3 and decreased H3K27me2 levels. EZH2 inhibitors provide clinical benefi…
View article: ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG Classification with Contrastive Learning.
ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG Classification with Contrastive Learning. Open
Deep learning-based electrocardiogram (ECG) classification has shown impressive performance but clinical adoption has been slowed by the lack of transparent and faithful explanations. Post hoc methods such as saliency maps may fail to refl…
View article: Democratizing cardiac imaging with an automated magnetic resonance exam
Democratizing cardiac imaging with an automated magnetic resonance exam Open
Advanced imaging of the heart, including cardiovascular magnetic resonance imaging (CMR), has revolutionized the diagnosis and prognosis for cardiovascular disease1–3. For the past 40 years, CMR has primarily relied on the acquisition of n…
View article: Introduction to the 102nd Volume of the UTMJ Issue on The Anatomy of Uncertainty
Introduction to the 102nd Volume of the UTMJ Issue on The Anatomy of Uncertainty Open
Volume 102 of the University of Toronto Medical Journal invites readers on a journey through one of medicine's fundamental yet challenging dimensions—uncertainty. Although scientific and technological advances continually expand our knowle…
View article: Patient perceptions of empathy in physician and artificial intelligence chatbot responses to patient questions about cancer
Patient perceptions of empathy in physician and artificial intelligence chatbot responses to patient questions about cancer Open
Artificial intelligence chatbots can draft empathetic responses to cancer questions, but how patients perceive chatbot empathy remains unclear. Here, we found that people with cancer rated chatbot responses as more empathetic than physicia…
View article: Medical accuracy of artificial intelligence chatbots in oncology: a scoping review
Medical accuracy of artificial intelligence chatbots in oncology: a scoping review Open
Background Recent advances in large language models (LLM) have enabled human-like qualities of natural language competency. Applied to oncology, LLMs have been proposed to serve as an information resource and interpret vast amounts of data…
View article: Unilateral undescended testis with a contralateral “over-descended testis” present in a left groin interstitial hernia presenting in mid-adulthood
Unilateral undescended testis with a contralateral “over-descended testis” present in a left groin interstitial hernia presenting in mid-adulthood Open
Hernia repair remains one of the most common operative procedures performed by general surgeons and herniologists (hernia specialists). Congenital or acquired hernias fall into predictable categories: inguinal, ventral or abdominal, and in…
View article: CMR-CLIP: Contrastive Language Image Pretraining for a Cardiac Magnetic Resonance Image Embedding with Zero-shot Capabilities
CMR-CLIP: Contrastive Language Image Pretraining for a Cardiac Magnetic Resonance Image Embedding with Zero-shot Capabilities Open
Self-supervised learning is crucial for clinical imaging applications, given the lack of explicit labels in healthcare. However, conventional approaches that rely on precise vision-language alignment are not always feasible in complex clin…
View article: Cost and supply considerations for antibody therapeutics
Cost and supply considerations for antibody therapeutics Open
Monoclonal antibodies (mAbs) and mAb-derived biologics have achieved substantial success across various therapeutic areas over recent decades. Their widespread adoption, however, remains constrained due to high prices and challenges in sup…
View article: Sex differences in cardiac remodelling in ischaemic cardiomyopathy and functional mitral regurgitation: impact on prognosis
Sex differences in cardiac remodelling in ischaemic cardiomyopathy and functional mitral regurgitation: impact on prognosis Open
Aims Sex differences in prognosis of functional mitral regurgitation (FMR) associated with ischaemic cardiomyopathy (ICM) demonstrate the need to identify sex differences in cardiac remodelling. This study aimed to characterize sex differe…
View article: Cardiac magnetic resonance imaging-large language model Meta AI: a finetuned large language model for identifying findings and associated attributes in cardiac magnetic resonance imaging reports
Cardiac magnetic resonance imaging-large language model Meta AI: a finetuned large language model for identifying findings and associated attributes in cardiac magnetic resonance imaging reports Open
CMR-LLaMA has strong performance identifying a variety of concept mentions and moderate accuracies in extracting a selection of other associated attributes. NLP models can be used to automate the extraction of data from CMR reports to pote…
View article: Theoretical Corrections and the Leveraging of Reinforcement Learning to Enhance Triangle Attack
Theoretical Corrections and the Leveraging of Reinforcement Learning to Enhance Triangle Attack Open
Adversarial examples represent a serious issue for the application of machine learning models in many sensitive domains. For generating adversarial examples, decision based black-box attacks are one of the most practical techniques as they…
View article: Performance of Multimodal Artificial Intelligence Chatbots Evaluated on Clinical Oncology Cases
Performance of Multimodal Artificial Intelligence Chatbots Evaluated on Clinical Oncology Cases Open
Importance Multimodal artificial intelligence (AI) chatbots can process complex medical image and text-based information that may improve their accuracy as a clinical diagnostic and management tool compared with unimodal, text-only AI chat…