Artificial Intelligence Medical Compendium

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

Showing 61,051 to 61,060 of 228,300 articles

A Theoretical Framework for Quantifying Tumour Resistance to Standardized Treatments: A Novel Rudimentary Scalar Mathematical Model with Implications for Breast Cancer Prognosis and Treatment.

medRxiv Jan 15, 2026
BackgroundPrecision oncology relies heavily on genomic profiling and artificial intelligence to predict therapeutic response in breast cancer. However, in low-to-middle-income countries (LMICs), these expensive modalities are inaccessible; forcing cl... read more 
oncology

Deep learning enables diagnosis of atrial cardiomyopathy from routine 12-lead electrocardiogram

medRxiv Jan 15, 2026
BackgroundAtrial cardiomyopathy (AtCM) is both a cause and a consequence of atrial fibrillation and flutter (AF) and can lead to ischemic stroke. Imaging derived left atrial (LA) structure and function are used to diagnose AtCM. Considering the tight... read more 
cardiovascular medicine

Predicting intervertebral disc degeneration using Pyradiomics features and XGBoost classification

medRxiv Jan 15, 2026
BackgroundDisc degeneration is the primary cause of low back pain, although the disc itself is not usually the source of the pain. Instead, it can lead to various clinically significant conditions that cause pain. However, there are no objective meas... read more 
radiology and imaging

Predicting Continuous Cognitive Decline: The Generalizability of a Multimodal Machine Learning Approach Including Structural MRI and Non-Brain Data

medRxiv Jan 15, 2026
Aging is often accompanied by cognitive decline, but the extent, timing, and severity of this process is subject to large inter-individual variability. Predicting cognitive decline along a continuum, encompassing healthy age-related decline, mild cog... read more 
neurology

Mass spectrometry and machine learning for classification and molecular phenotyping of renal cell carcinoma and benign tumors

medRxiv Jan 15, 2026
Pathology classification of cancer tumor subtypes and benign tumors can be difficult due to cellular heterogeneity and similar morphological features. Renal Cell Cancer (RCC) poses a major challenge for uropathologists as advanced RCC is often incide... read more 
urology

MedMatch: a first step for the automation of large language model performance benchmarking for medication-related tasks

medRxiv Jan 15, 2026
BackgroundThe accuracy and safety of generating medication orders by large language models (LLMs) must be demonstrated. Without standardization, performance evaluation is limited to time and resource-intensive clinician grading. This evaluation aimed... read more 
health informatics

Exploring the Link Between Body Physiology and Cognition: The Role of the Brain and Ageing

medRxiv Jan 15, 2026
Epidemiologists often report associations between cognitive functioning and bodily physiology in older adults, but the strength and drivers of this relationship remain unclear. Which systems - from body composition to cardiovascular, pulmonary, renal... read more 
neurology

Predicting Body Composition from Chest Radiographs by Deep Learning: 10-year Mortality and Geriatric Outcomes

medRxiv Jan 15, 2026
BackgroundBody composition strongly influences clinical outcomes in older adults, yet body mass index (BMI) lacks discriminatory power, and standard tools such as bioelectrical impedance analysis (BIA), dual-energy X-ray absorptiometry are not routin... read more 
geriatric medicine

Drastic changes in collaboration networks and publication patterns in research using the CDC WONDER dataset

medRxiv Jan 15, 2026
The growth of generative AI and easily available Open Access health datasets has transformed researcher productivity, leading to an explosion in publications that has in part been attributed to paper mills (organisations that provide manuscripts for ... read more 
epidemiology

Pipeline Evaluation of a State-of-the-Art AI Algorithm for Detection of Focal Cortical Dysplasia: Insights into Potential Failure Sources

medRxiv Jan 15, 2026
PurposeMELD Graph is a state-of-the-art artificial intelligence (AI) model for automated detection of focal cortical dysplasia (FCD), but its performance remains limited, highlighting the need to investigate which aspects of the pipeline affect its a... read more 
radiology and imaging
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