Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 51,721 to 51,730 of 225,182 articles

A systems approach identifies MERTK as a therapeutic vulnerability in ZFTA-RELA-driven ependymomas.

Proceedings of the National Academy of Sciences of the United States of America
Ependymomas (EPN) are rare central nervous system tumors that account for approximately 10% of intracranial tumors in children and 4% in adults. Despite their clinical and molecular heterogeneity, spanning supratentorial, posterior fossa, and spinal ... read more 

Artificial Intelligence to Support Human-Provided Mental Health Treatment.

Annual review of clinical psychology
Mental health disorders are some of the greatest contributors to the global disease burden, and healthcare systems are struggling to provide scalable care of high quality. Artificial intelligence (AI)-based tools and applications are some of the most... read more 

Systems Biology of Aging, Metabolism, and Mitochondria.

Annual review of biophysics
Since the beginning of this century, the emergence of systems biology, driven by technological, informatic, and theoretical advances, has led to an unprecedented generation of data and information about biological systems at multiple levels of organi... read more 

Teravoxel Microscopy Image Analysis for Neurological Diseases.

Annual review of biomedical engineering
Light-sheet fluorescence microscopy (LSFM) has emerged as a revolutionary imaging modality for investigating intact three-dimensional brain structures at the teravoxel scale. In parallel, high-throughput computational methods, especially deep learnin... read more 

Machine Learning and Autonomous Systems for Accelerated Synthesis.

Annual review of analytical chemistry (Palo Alto, Calif.)
Autonomous systems integrating machine learning (ML) and laboratory automation are transforming synthetic chemistry by enabling closed-loop experimentation and discovery. In this review, we examine the state-of-the-art in autonomous systems for organ... read more 

Causal modeling of chronic kidney disease in a participatory framework for informing the inclusion of social drivers in health algorithms.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: Incomplete or incorrect causal theories are a key source of bias in machine learning (ML) algorithms. Community-engaged methodologies provide an avenue for mitigating this bias through incorporating causal insights from community stakehol... read more 

Unsupervised Disentanglement of Brain Heterogeneity for Identifying Subtypes of Alzheimer's Disease.

IEEE transactions on bio-medical engineering
Neuroanatomical heterogeneity in Alzheimer's disease (AD) hinders precision diagnosis and treatment, as distinct brain phenotypes may correspond to different disease subtypes. However, MRI-based subtype classifications are often confounded by co-occu... read more 

Single-Stage Lesion Identification in $^{68}$Ga-DOTATATE PET Images.

IEEE transactions on bio-medical engineering
OBJECTIVE: Positron emission tomography (PET) is a commonly used imaging modality for assessment of neuroendocrine tumors (NETs), and lesion identification in PET images is a key step in the development of effective treatments. Deep neural networks h... read more 

Stress Detection Using Heart Rate Variability and Respiratory Signals Derived From a Single-Lead ECG.

IEEE transactions on bio-medical engineering
Stress detection is a widely studied field due to its significant implications for mental and physical health. While multimodal approaches show promising results, they present challenges related to hardware constraints and computational requirements ... read more