Artificial Intelligence Medical Compendium

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

Showing 27,571 to 27,580 of 218,939 articles

Updates on tuberculosis imaging.

Seminars in nuclear medicine Apr 23, 2026
Tuberculosis (TB) remains a leading infectious cause of morbidity and mortality worldwide, and major diagnostic and therapeutic challenges persist despite advances in microbiologic and molecular testing. Over the past decade, molecular imaging, espec... read more 

Advances in molecular diagnostic strategies during the SARS-CoV-2 pandemic.

Expert review of molecular diagnostics Apr 23, 2026
INTRODUCTION: The SARS-CoV-2 pandemic provided critical insights into pandemic preparedness. The community spread can be slowed down or contained through effective, rapid and robust diagnosis of infected individuals. AREA COVERED: During the pandemic... read more 

Fetal Fraction and Uterine Leiomyoma Volume: New Insights From Interpretable Modeling.

Prenatal diagnosis Apr 23, 2026
OBJECTIVE: This study aims to develop a predictive model to estimate the likelihood of achieving a sufficient fetal fraction (FF) for non-invasive prenatal testing (NIPT) based on maternal characteristics such as age, body mass index (BMI), gestation... read more 

Ion-electron synergy-enhanced flexible highly sensitive wireless sensing system with wide strain range.

Microsystems & nanoengineering Apr 23, 2026
Flexible strain sensors require a wide strain range and high sensitivity for applications from human joint monitoring to robotic motion detection. Conventional wired systems limit motion, especially in underwater and wearable scenarios. Here, we pres... read more 

Physical mechanisms governing generalization and hallucination in deep learning for imaging through scattering media.

Nature communications Apr 23, 2026
Deep learning has revolutionized computational imaging, yet its real-world deployment remains constrained by two critical challenges: poor generalization under dynamic conditions and the emergence of hallucinatory artifacts. By leveraging a physics-g... read more 

In silico discovery of nanobody binders to a G-protein coupled receptor using AlphaFold-Multimer.

Nature communications Apr 23, 2026
Antibodies are central mediators of the adaptive immune response, and they are powerful research tools and therapeutics. Antibody discovery requires substantial experimental effort, such as immunization campaigns or in vitro library screening. Predic... read more 

Synthetic dataset of pore scale multiphase flow from direct numerical simulations.

Scientific data Apr 23, 2026
Understanding the physics of fluid displacement through the pore spaces in multiphase environments are essential for improving the safety and optimizing the performance of diverse complex subsurface engineering applications. We conduct high-fidelity ... read more 

Machine learning-driven alignment architecture of heterogeneous data with transient varying semantics.

Nature communications Apr 23, 2026
Via cross-correlation algorithms or synchronized acquisition of signals, the alignment of heterogeneous data with unknown semantic time shifts and intermittent semantic variations cannot be solved. The shift is caused by different data acquisition pr... read more 

Decoupling MCI-specific signatures from shared neurobiological substrates of cognitive aging via deep learning.

NPJ digital medicine Apr 23, 2026
The specific neuroanatomy of mild cognitive impairment (MCI) is obscured by its clinical heterogeneity and confounding effects from normative variation. This problem is compounded by the inability of conventional neuroimaging methods to disentangle t... read more 

Machine learning identifies prognosticators of intracranial metastatic disease in patients with breast or lung cancer.

Communications medicine Apr 23, 2026
BACKGROUND: Intracranial metastatic disease is a severe complication of cancer that confers substantial morbidity and mortality. Patients with breast or lung cancer are at particularly elevated risk of IMD. Early identification of individuals at incr... read more 
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