Artificial Intelligence Medical Compendium

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

Showing 19,071 to 19,080 of 214,800 articles

Epistemic frontiers and the distinction between causality, information, and predictability in pattern recognition.

Scientific reports May 13, 2026
High predictive accuracy is frequently misinterpreted as evidence of causal understanding or population-level signal. Models can exploit spurious correlations, confounding, or protocol-induced artefacts, while post-hoc explanations may faithfully des... read more 

Integrating scanning electron microscopy, explainable deep learning, and ITS sequencing for accurate identification in some species Geastrum.

Scientific reports May 13, 2026
The differentiation of species within the genus Geastrum remains a challenging task due to the strong morphological similarity among taxa and the limited discriminatory power of macroscopic characteristics alone. Although molecular approaches based o... read more 

Development and validation of a versatile foundation model for cine cardiac magnetic resonance image analysis.

Communications medicine May 13, 2026
BACKGROUND: Cardiac magnetic resonance imaging is central to cardiovascular diagnosis and management, yet extracting key clinical measurements remains time-consuming, subjective, and of limited reproducibility. Current deep learning methods often req... read more 

What's in a NAM?

Lab animal May 13, 2026
The transition away from animal experimentation is gaining momentum across scientific disciplines, driven by technological advancements, ethical imperatives and policy support. At the forefront of this movement is the development of New Approach Meth... read more 

Bladder cancer segmentation using u-net-based deep-learning.

Scientific reports May 13, 2026
We are developing a decision support system for treatment response assessment of bladder cancer by analyzing patients' CT urography (CTU) examinations. Accurate segmentation of bladder lesions is a critical and challenging task. We previously develop... read more 

Estimating genotype-tissue specific gene expression using hybrid deep learning.

Communications biology May 13, 2026
Genotype-tissue expression profiles are critical for understanding how genetic variation influences gene regulation across tissues, yet they are often missing or incomplete, and experimental profiling is costly and time-consuming. Although computatio... read more 

Identifying host-specific patterns in viral protein sequences to predict host spillover risk in animal and plant kingdoms.

Scientific reports May 13, 2026
Emerging pandemics are often driven by viral spillover events. However, predicting them remains difficult due to the complex interplay between viral genetics, host adaptability, and ecological dynamics. While traditional models rely on ecological or ... read more 

Closed-loop stimulation modulates attention shifting in children.

Nature neuroscience May 13, 2026
Spontaneous fluctuations in attention can impede adaptation to changing goals and environments. Endogenous control over attentional shifts, referred to as attentional flexibility, is prone to disruption in children with attention deficit disorders. H... read more 

Efficient robot navigation inspired by honeybee learning flights.

Nature May 13, 2026
Navigation is a crucial capability for both animals and robots. Although tiny flying insects can robustly navigate over long distances1, state-of-the-art robot navigation methods are computationally expensive and therefore restricted to large robots2... read more 

Large-scale discovery, analysis and design of protein energy landscapes.

Nature May 13, 2026
All folded proteins continuously fluctuate between their low-energy native structures and higher-energy conformations that can be partially or fully unfolded. These rare states influence protein function1,2, interactions3, aggregation4-7 and immunoge... read more 
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