Latest AI and machine learning research in surveys for healthcare professionals.
Implicit Neural Representations (INRs) model continuous signals using multilayer perceptrons (MLPs),...
Self-verification, re-invoking the same vision language model (VLM) in a fresh context to check its ...
Objective: To describe the ophthalmic examination protocol within the German National Cohort (NAKO) ...
Individual treatment effects are not point-identified from data. The Probability of Necessity and Su...
Introduction: Adolescents with mental health disorders represent a vulnerable group with complex car...
Machine learning continues to accelerate peptide and protein design through the rapid prediction and...
Labeled datasets reflect the biases of their annotation pipelines, which sometimes introduce label b...
While Multimodal Large Language Models (MLLMs) are increasingly integrated with Retrieval-Augmented ...
In routine care, individuals identified a priori as high-risk are usually tested for conditions more...
GUI grounding is a critical capability for enabling GUI agents to execute tasks such as clicking and...
Purpose: Assessing visual function in patients with ultra-low vision (ULV), particularly those with ...
Fairness in machine learning remains challenging due to its ethical complexity, the absence of a uni...
We present a novel sequential multiple assignment randomized trial (SMART) design that integrates re...
Class-level evaluation can conceal substantial performance disparities across subconcepts within the...
Background: The rapid expansion of medical literature has led to substantial variability and frequen...
Background. Studies applying machine learning to obsessive-compulsive disorder (OCD) typically repor...
Optical chemical structure recognition (OCSR) translates molecular images into machine-readable repr...
In recent years, the integration of multimodal machine learning in wellbeing assessment has offered ...
Background Depressive symptoms among reproductive-aged women represent a major public health concern...
The validity screen (Cacioli, 2026d, 2026e) classifies LLM confidence signals as Valid, Indeterminat...
With the rapid growth of video data, Composed Video Retrieval (CVR) has emerged as a novel paradigm ...