Latest AI and machine learning research in geriatrics for healthcare professionals.
Background: Subtle changes in spontaneous language production are among the earliest indicators of c...
Early Alzheimer's disease often evades timely detection because typical diagnostics are based on sym...
End-to-end autonomous driving systems have achieved significant progress, yet their adversarial robu...
Artificial intelligence allows automatic extraction of imaging biomarkers from already-acquired radi...
Introduction: Plasma phosphorylated tau-217 is widely used as a plasma-based biomarker for Alzheimer...
-Synuclein (-syn) strains can serve as discriminators between Parkinson's disease (PD) and related -...
Normative modeling learns a healthy reference distribution and quantifies subject-specific deviation...
When a mouse perceives a hawk's shadow, it may have only seconds to decide where to run, yet the saf...
Background: Identifying early brain-based markers of cognitive decline is critical for preventive st...
Despite recent successes, test-time scaling - i.e., dynamically expanding the token budget during in...
Accurate prediction of outcomes is crucial for clinical decision-making and personalized patient car...
High-quality annotated datasets are crucial for advancing machine learning in medical image analysis...
Aging and genetic risk shape the molecular programs that confer cellular vulnerability in Alzheimer'...
Decision-making in drug development spans heterogeneous stages from molecular design to clinical opt...
Opportunities for medical students to gain practical experience in vaginal births are increasingly c...
Timely and accurate diagnosis of dementia remains a critical yet challenging task. Although machine ...
Background: Amyotrophic lateral sclerosis (ALS) is clinically heterogeneous, and genetic modifiers m...
Early detection of dementia enables timely intervention and better care planning. Electroencephalogr...
Genetic-based risk prediction is becoming increasingly available for a wide range of common diseases...
Optical coherence tomography (OCT) has revolutionized retinal disease diagnosis with its high-resolu...
Inverse scattering in optical coherence tomography (OCT) seeks to recover both structural images and...