Artificial Intelligence Medical Compendium

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

Showing 29,931 to 29,940 of 219,931 articles

Analysis Of Augmentation Techniques for Spine X-Ray Images

medRxiv Apr 17, 2026
Computer vision and deep learning techniques, including convolutional neural networks (CNNs) and transformers, have increased the performance of medical image classification systems. However, training deep learning models using medical images is a ch... read more 
radiology and imaging

Can Multimodal Large Language Models Visually Interpret Auditory Brainstem Responses?

medRxiv Apr 17, 2026
Introduction: Auditory brainstem response (ABR) is a standard objective method for estimating hearing threshold, especially in patients who cannot reliably participate in behavioral audiometry. However, ABR interpretation is usually performed by an e... read more 
otolaryngology

Aakhyan: An AI-Powered Vernacular Patient Communication Platform for Oncology in Resource-Limited Settings - System Architecture and Pilot Randomised Trial Protocol

medRxiv Apr 17, 2026
Inadequate discharge communication is a well-documented contributor to medication non-adherence, missed follow-ups, and preventable readmissions across healthcare systems worldwide. In resource-limited oncology settings, where patients are often low-... read more 
health informatics

Auxiliary Clinical Prompt Integration into Vision-Language Prompt SAM for Brain Tumor Segmentation

medRxiv Apr 17, 2026
Background. Adult diffuse glioma is a representative class of primary brain tumors for which accurate MRI-based tumor segmentation is indispensable for treatment planning. Conventional automated segmentation methods have relied primarily on image inf... read more 
health informatics

Protocol for LLM-Generated CONSORT Report for Increased Reporting: A Parallel-Arm Randomized Controlled Trial (Protocol)

medRxiv Apr 17, 2026
Background Randomized controlled trials (RCTs) often have incomplete methods reporting despite widespread adoption of the CONSORT guideline. The editorial process is supposed to detect these shortcomings and request clarifications from authors, which... read more 
health policy

A Machine Learning Based Causal Interface for Time-Varying Environmental Predictors of Substance Use Initiation in the ABCD Study

medRxiv Apr 17, 2026
Background: The Adolescent Brain Cognitive Development (ABCD) Study provides rich longitudinal data on environmental, genetic, and behavioral factors related to substance use initiation. Classical marginal structural models (MSMs) require selecting c... read more 
addiction medicine

Inflammatory Biomarkers & Interpretable ML for SAP Risk Stratification in AIS Patients Undergoing Bridging Therapy

medRxiv Apr 17, 2026
Stroke-associated pneumonia (SAP) is a common, severe complication in acute ischemic stroke (AIS) patients receiving bridging therapy (intravenous thrombolysis + mechanical thrombectomy), worsening prognosis and increasing mortality. Current SAP pred... read more 
neurology

A Conversational Artificial Intelligence Framework for Comparative Pathway-Level Profiling of Sezary Syndrome and Primary Cutaneous CD8+ Aggressive Epidermotropic Cytotoxic T-Cell Lymphoma (PCAECTCL)

medRxiv Apr 17, 2026
Background: Sezary syndrome (SS) is an aggressive leukemic variant of cutaneous T-cell lymphoma (CTCL) with distinct clinical and biological features compared to rarer entities such as primary cutaneous CD8+ aggressive epidermotropic cytotoxic T-cell... read more 
oncology

Data Matters: The Impact of Data Curation in the Classification of Histopathological Datasets

medRxiv Apr 17, 2026
In this work, the impact of outliers on the performance of machine learning and deep learning models is investigated, specifically for the case of histopathological images of colorectal cancer stained with Haematoxylin and Eosin. The evaluation of th... read more 
pathology

Speech-based digital biomarkers for early etiological stratification of Alzheimer's disease and frontotemporal degeneration: a biomarker-confirmed prospective study.

The journal of prevention of Alzheimer's disease Apr 17, 2026
BACKGROUND: Early differentiation between Alzheimer's disease (AD) and frontotemporal lobar degeneration (FTLD) is a prerequisite for secondary prevention and targeted trial enrollment, yet remains challenging at disease onset. We investigated whethe... read more 
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