The current and future state of AI interpretation of medical images
P Rajpurkar, MP Lungren - New England Journal of Medicine, 2023 - Mass Medical Soc
The Current and Future State of AI Interpretation of Medical Images | New England Journal of
Medicine Skip to main content The New England Journal of Medicine homepage Advanced …
Medicine Skip to main content The New England Journal of Medicine homepage Advanced …
Algorithmic fairness in artificial intelligence for medicine and healthcare
In healthcare, the development and deployment of insufficiently fair systems of artificial
intelligence (AI) can undermine the delivery of equitable care. Assessments of AI models …
intelligence (AI) can undermine the delivery of equitable care. Assessments of AI models …
A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion
In the last few years, the trend in health care of embracing artificial intelligence (AI) has
dramatically changed the medical landscape. Medical centres have adopted AI applications …
dramatically changed the medical landscape. Medical centres have adopted AI applications …
Heterogeneity and predictors of the effects of AI assistance on radiologists
The integration of artificial intelligence (AI) in medical image interpretation requires effective
collaboration between clinicians and AI algorithms. Although previous studies demonstrated …
collaboration between clinicians and AI algorithms. Although previous studies demonstrated …
Med-unic: Unifying cross-lingual medical vision-language pre-training by diminishing bias
The scarcity of data presents a critical obstacle to the efficacy of medical vision-language pre-
training (VLP). A potential solution lies in the combination of datasets from various language …
training (VLP). A potential solution lies in the combination of datasets from various language …
[HTML][HTML] Artificial intelligence in liver cancers: Decoding the impact of machine learning models in clinical diagnosis of primary liver cancers and liver cancer …
Liver cancers are the fourth leading cause of cancer-related mortality worldwide. In the past
decade, breakthroughs in the field of artificial intelligence (AI) have inspired development of …
decade, breakthroughs in the field of artificial intelligence (AI) have inspired development of …
Imitate: Clinical prior guided hierarchical vision-language pre-training
In the field of medical Vision-Language Pretraining (VLP), significant efforts have been
devoted to deriving text and image features from both clinical reports and associated …
devoted to deriving text and image features from both clinical reports and associated …
Deep learning generates synthetic cancer histology for explainability and education
JM Dolezal, R Wolk, HM Hieromnimon… - NPJ precision …, 2023 - nature.com
Artificial intelligence methods including deep neural networks (DNN) can provide rapid
molecular classification of tumors from routine histology with accuracy that matches or …
molecular classification of tumors from routine histology with accuracy that matches or …
[HTML][HTML] Explainable digital forensics AI: Towards mitigating distrust in AI-based digital forensics analysis using interpretable models
AA Solanke - Forensic science international: digital investigation, 2022 - Elsevier
The present level of skepticism expressed by courts, legal practitioners, and the general
public over Artificial Intelligence (AI) based digital evidence extraction techniques has been …
public over Artificial Intelligence (AI) based digital evidence extraction techniques has been …
Towards evaluating explanations of vision transformers for medical imaging
P Komorowski, H Baniecki… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
As deep learning models increasingly find applications in critical domains such as medical
imaging, the need for transparent and trustworthy decision-making becomes paramount …
imaging, the need for transparent and trustworthy decision-making becomes paramount …