Artificial Intelligence Medical Compendium

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

Showing 1,861 to 1,870 of 213,633 articles

A survey of inevitability results in AI instability.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Over the past decade, there has been an explosion of activity in the design of algorithms for adversarially attacking artificial intelligence (AI) systems; especially in the context of image classification. For example, a carefully crafted perturbati... read more 

Limitations of public chest radiography datasets for artificial intelligence: label quality, domain shift, bias and evaluation challenges.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Artificial intelligence (AI) has shown significant promise in chest radiography, where deep learning models can approach radiologist-level diagnostic performance. Progress has been accelerated by large public datasets, such as MIMIC-CXR, ChestX-ray14... read more 

On the next generation for neuromorphic computing and neuromorphic AI.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
As we learn more about the inner cognitive workings of the brain's information processing and decision-making behaviours, this naturally leads us to consider alternative and additional ways to process information, from chips and architectures through... read more 

Neuro-symbolic weak supervision: theory and semantics.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Weak supervision enables machine learning models to learn from limited or noisy labels, but it introduces challenges in reliability and semantic clarity, particularly in multi-instance partial label learning (MI-PLL), where models must resolve both a... read more 

Differentiating HFmr/rEF from HFpEF using standard 12-lead ECG measurements: an interpretable machine learning study.

Open heart
BACKGROUND: Differentiating heart failure (HF) with mildly reduced/reduced ejection fraction (HFmr/rEF) from HF with preserved ejection fraction (HFpEF) guides therapy but echocardiography may be delayed or unavailable. We developed and validated mac... read more 

A decade of comparing brains to DNNs: Progress and perspectives.

Trends in cognitive sciences
Over the past decade, comparisons between deep neural networks (DNNs) and the human brain have become central to cognitive neuroscience. Early work focused on vision, driven by the success of convolutional neural networks in object recognition, befor... read more 

Learning Diffusion from Sparse Data: A Machine-Learning Bridge between Molecular Motion and Macroscopic Transport.

Journal of chemical information and modeling
Predicting molecular self-diffusion coefficients (D*) across chemical space remains challenging due to sparse experimental data and the high computational cost of molecular simulations. We present a data-centric machine learning framework that integr... read more 

DARMN: Domain-Aware Residual Feature Modulation Network for Multidomain Protein Dynamic Inter-Residue Contact Prediction.

Journal of chemical theory and computation
The regulation of conformational stability in multidomain proteins (MDP) is a central challenge in protein engineering with major implications for antigen optimization, enzyme activity modulation, and signal transduction. The function of these protei... read more