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Where medical statistics meets artificial intelligence
Where Medical Statistics Meets Artificial Intelligence | New England Journal of Medicine Skip to
main content The New England Journal of Medicine homepage Advanced Search SEARCH …
main content The New England Journal of Medicine homepage Advanced Search SEARCH …
Application of artificial intelligence techniques for monkeypox: a systematic review
Monkeypox or Mpox is an infectious virus predominantly found in Africa. It has spread to
many countries since its latest outbreak. Symptoms such as headaches, chills, and fever are …
many countries since its latest outbreak. Symptoms such as headaches, chills, and fever are …
The integration of clinical trials with the practice of medicine: repairing a house divided
DC Angus, AJ Huang, RJ Lewis, AP Abernethy… - Jama, 2024 - jamanetwork.com
Importance Optimal health care delivery, both now and in the future, requires a continuous
loop of knowledge generation, dissemination, and uptake on how best to provide care, not …
loop of knowledge generation, dissemination, and uptake on how best to provide care, not …
Artificial intelligence and open science in discovery of disease-modifying medicines for Alzheimer's disease
The high failure rate of clinical trials in Alzheimer's disease (AD) and AD-related dementia
(ADRD) is due to a lack of understanding of the pathophysiology of disease, and this deficit …
(ADRD) is due to a lack of understanding of the pathophysiology of disease, and this deficit …
Current status and future directions: the application of artificial intelligence/machine learning for precision medicine
Technological innovations, such as artificial intelligence (AI) and machine learning (ML),
have the potential to expedite the goal of precision medicine, especially when combined …
have the potential to expedite the goal of precision medicine, especially when combined …
[HTML][HTML] The impact of digital hospitals on patient and clinician experience: Systematic review and qualitative evidence synthesis
Background The digital transformation of health care is advancing rapidly. A well-accepted
framework for health care improvement is the Quadruple Aim: improved clinician …
framework for health care improvement is the Quadruple Aim: improved clinician …
Diffusion models for causal discovery via topological ordering
Discovering causal relations from observational data becomes possible with additional
assumptions such as considering the functional relations to be constrained as nonlinear with …
assumptions such as considering the functional relations to be constrained as nonlinear with …
Learning across diverse biomedical data modalities and cohorts: Challenges and opportunities for innovation
In healthcare, machine learning (ML) shows significant potential to augment patient care,
improve population health, and streamline healthcare workflows. Realizing its full potential …
improve population health, and streamline healthcare workflows. Realizing its full potential …
Counterfactual learning on graphs: A survey
Graph-structured data are pervasive in the real-world such as social networks, molecular
graphs and transaction networks. Graph neural networks (GNNs) have achieved great …
graphs and transaction networks. Graph neural networks (GNNs) have achieved great …
Applications of machine learning on electronic health record data to combat antibiotic resistance
There is growing excitement about the clinical use of artificial intelligence and machine
learning (ML) technologies. Advancements in computing and the accessibility of ML …
learning (ML) technologies. Advancements in computing and the accessibility of ML …