Artificial Intelligence Medical Compendium

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

Showing 19,691 to 19,700 of 215,899 articles

Visual Image Design Based on Multi-sensor Machine Learning for Monitoring Plateau Lake Dynamics and Pasture Change.

Scientific reports May 13, 2026
The economic value of ecosystem services is precious to the community and changes with land use/land cover (LULC). The main aim of this study is to examine LULC changes in the Sahiwal area between 1994 and 2024 using a Landsat time series, and to det... read more 

Global physician perspectives on artificial intelligence in healthcare across 50 countries and territories.

NPJ digital medicine May 13, 2026
Despite rapid advances in artificial intelligence (AI) capabilities, clinical integration remains limited, partly due to an incomplete understanding of physicians' real-world engagement and determinants of adoption. We conducted an international cros... read more 

Transforming credit risk evaluation in digital lending from black box models to transparent decisions.

Scientific reports May 13, 2026
Digital lending and alternative finance systems, particularly Buy Now, Pay Later (BNPL) services, have expanded access to credit but introduced new challenges for accurate and transparent credit risk assessment. Borrowers in these ecosystems often la... read more 

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 
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