Artificial Intelligence Medical Compendium

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

Showing 22,101 to 22,110 of 216,627 articles

Feasibility of PI-RADS Compliant Prostate MRI at 0.55T

medRxiv May 6, 2026
Purpose: To demonstrate the feasibility of prostate MRI at low-field and provide an optimised low-field prostate MRI protocol. Methods: We acquired bi-parametric prostate MRI in 15 healthy male volunteers (mean age 62 years, 95% CI 57-67.5), includin... read more 
radiology and imaging

Less is More: last observations of vital signs can outperform time series for hospital mortality prediction

medRxiv May 6, 2026
Timely identification of hospital inpatients at risk of deterioration facilitates interventions to support their recovery. Many hospitals implement early warning scores to detect abnormal patient vital signs, such as the National Early Warning Score ... read more 
health informatics

Predicting bladder cancer molecular subtypes linked to bacillus Calmette-Guerin response from histology images using deep learning

medRxiv May 6, 2026
Background and objective: High-risk non-muscle-invasive bladder cancer (HR-NMIBC) is treated with transurethral resection and intravesical BCG instillations, yet approximately 50% recur and 20% progress to invasive disease. Although molecular subtypi... read more 
oncology

Identifying the determinants of health protective behaviors during the COVID-19 pandemic using machine learning: an analysis of six countries

medRxiv May 6, 2026
Individuals adapt their behavior in response to infectious disease epidemics. Understanding the determinants of behavior, particularly the impact of infections themselves, can help model the feedback loop between disease and behavior in epidemic mode... read more 
epidemiology

From Power Spectral Density to Wavelets: Improving Symbolic Representations of Electroencephalography Band Dynamics in the Weed Plot Framework

medRxiv May 6, 2026
Electroencephalography (EEG) interpretation in clinical practice relies on the analysis of energy distribution across standard frequency bands. The Weed Plot framework encodes band wise spectral energy, computed using Fourier based methods, into a sy... read more 
neurology

Enhancing dengue diagnosis and surveillance by integrating machine learning technologies with the NS1 rapid test kit

medRxiv May 6, 2026
Background. Dengue has been a major health threat globally in recent years. In particular, dengue incidences continue to increase annually and the epidemic area has expanded primarily due to global warming. Therefore, effective case detection and sur... read more 
health informatics

How Much Does the Reduced EEG Montage Matter for Seizure Detection?: A Large-Cohort Simulation Study

medRxiv May 6, 2026
Importance: Implantable sub-scalp EEG systems with a small number of channels have emerged as promising solutions for long-term seizure monitoring in patients with epilepsy. How seizure detection performance varies by montage configuration is unknown... read more 
neurology

Hierarchical integration of multimodal clinical data to predict epilepsy surgery outcome

medRxiv May 6, 2026
Background: Integrating multimodal data into medical artificial intelligence (AI) tools and evaluating whether they outperform human experts remains a critical challenge. Epilepsy surgery offers a unique paradigm for this evaluation, as it provides a... read more 
neurology

Advancing in silico drug design with Bayesian refinement of AlphaFold models

bioRxiv May 6, 2026
Virtual screening has become an indispensable tool in modern structure-based drug discovery, enabling the identification of candidate molecules by computationally evaluating their potential to bind target proteins. The accuracy of such screenings cri... read more 
bioinformatics

Mechanistic learning to predict and understand minimal residual disease

bioRxiv May 6, 2026
Mechanistic modeling has long been used as a tool to describe the dynamics of biological systems, especially cancer in response to treatment. Their key advantage lies in interpretability of relationships between input parameters and outcomes of inter... read more 
cancer biology
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