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Multimodal biomedical AI
The increasing availability of biomedical data from large biobanks, electronic health records,
medical imaging, wearable and ambient biosensors, and the lower cost of genome and …
medical imaging, wearable and ambient biosensors, and the lower cost of genome and …
[HTML][HTML] Unleashing the global potential of public health: a framework for future pandemic response
Public health emergencies, especially pandemics, need to be managed globally, and on
several levels, emphasizing the importance of leadership, communication, and …
several levels, emphasizing the importance of leadership, communication, and …
GA4GH: International policies and standards for data sharing across genomic research and healthcare
Summary The Global Alliance for Genomics and Health (GA4GH) aims to accelerate
biomedical advances by enabling the responsible sharing of clinical and genomic data …
biomedical advances by enabling the responsible sharing of clinical and genomic data …
Challenges of artificial intelligence in medicine and dermatology
Artificial intelligence (AI) in medicine and dermatology brings additional challenges related
to bias, transparency, ethics, security, and inequality. Bias in AI algorithms can arise from …
to bias, transparency, ethics, security, and inequality. Bias in AI algorithms can arise from …
A research ethics framework for the clinical translation of healthcare machine learning
MD McCradden, JA Anderson… - The American Journal …, 2022 - Taylor & Francis
The application of artificial intelligence and machine learning (ML) technologies in
healthcare have immense potential to improve the care of patients. While there are some …
healthcare have immense potential to improve the care of patients. While there are some …
Truly privacy-preserving federated analytics for precision medicine with multiparty homomorphic encryption
Using real-world evidence in biomedical research, an indispensable complement to clinical
trials, requires access to large quantities of patient data that are typically held separately by …
trials, requires access to large quantities of patient data that are typically held separately by …
Remove obstacles to sharing health data with researchers outside of the European Union
HB Bentzen, R Castro, R Fears, G Griffin… - Nature Medicine, 2021 - nature.com
COVID-19 has shown that international collaborations and global data sharing are essential
for health research, but legal obstacles are preventing data sharing for non–pandemic …
for health research, but legal obstacles are preventing data sharing for non–pandemic …
[HTML][HTML] Analyzing patient trajectories with artificial intelligence
In digital medicine, patient data typically record health events over time (eg, through
electronic health records, wearables, or other sensing technologies) and thus form unique …
electronic health records, wearables, or other sensing technologies) and thus form unique …
Incorporating privacy by design principles in the modification of AI systems in preventing breaches across multiple environments, including public cloud, private cloud …
The rapid integration of artificial intelligence (AI) across various sectors has significantly
amplified privacy concerns, particularly with the growing reliance on cloud environments …
amplified privacy concerns, particularly with the growing reliance on cloud environments …
DeepFixCX: Explainable privacy‐preserving image compression for medical image analysis
Explanations of a model's biases or predictions are essential to medical image analysis. Yet,
explainable machine learning approaches for medical image analysis are challenged by …
explainable machine learning approaches for medical image analysis are challenged by …