Artificial Intelligence Medical Compendium

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

Showing 37,991 to 38,000 of 223,469 articles

An improved dataset for predicting mammal infecting viruses from genetic sequence information.

PLoS computational biology Mar 27, 2026
There have been several attempts to develop machine learning (ML) models to identify human infecting viruses from their genomic sequences, with varying degrees of success. Direct comparison between models is problematic, because these models are typi... read more 

Prediction of vegetation indices from down-sampled hyperspectral data using machine learning: A novel framework for olive crop monitoring.

PloS one Mar 27, 2026
Accurate plant health monitoring relies on hyperspectral imagery to extract vegetation spectral signatures and compute vegetation indices (VIs), which are critical for phenotyping and crop condition assessment. However, the requirement for high spect... read more 

From Missed Needs to Smart Screening: Artificial Intelligence and the Future of Social Drivers of Health in Oncology.

Journal of the American College of Surgeons Mar 27, 2026
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Using Machine Learning to Guide High-Stakes Extracorporeal Membrane Oxygenation Decisions.

Journal of the American College of Surgeons Mar 27, 2026
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Toward ultimate NMR resolution with deep learning.

Science advances Mar 27, 2026
Resolution in NMR is defined as the ability to distinguish and accurately determine signal positions while mitigating overlap. In the pursuit of ultimate resolution, we introduce peak probability presentations (P3), a statistical spectral representat... read more 

Measuring Accuracy (Classification Probabilities, Positive, and Negative Predictive Values) of Executive Function Electroencephalogram Metrics in Attention-Deficit/Hyperactivity Disorder Diagnosis: Protocol for and Perspectives From the SINCRONIA Study.

JMIR research protocols Mar 27, 2026
BACKGROUND: Attention deficit/hyperactivity disorder (ADHD) is the most prevalent neurodevelopmental disorder worldwide, affecting approximately 5%-7% of school-aged children and 2%-5% of adults worldwide. However, there is still no reliable diagnost... read more 

GAN-based underwater image enhancement and scene classification using transfer learning.

PloS one Mar 27, 2026
This paper provides an exploratory analysis of underwater video analysis techniques to enhance image quality and facilitate accurate classification of different marine species. Our methodology progresses through several steps, beginning with the qual... read more 

Probabilistic forecasting of monthly dengue cases using epidemiological and climate signals: A BiLSTM-Negative Binomial Model versus Mechanistic and Count-Model Baselines.

PLOS global public health Mar 27, 2026
Reliable short-term forecasts enable urban health systems to anticipate dengue surges and allocate resources effectively. We assembled monthly dengue case counts for Freetown, Sierra Leone (2015-2024), and compared four probabilistic model families u... read more 

Dimensionally constrained adversarial attack and defense in wind power forecasting.

PloS one Mar 27, 2026
Deep neural networks (DNNs) have achieved remarkable success in wind power forecasting, but DNNs are vulnerable to adversarial attacks that can severely degrade forecast accuracy. Existing studies primarily emphasize attack effectiveness and pay limi... read more 

Kenyan Neonatal Mortality Risk Predictor: Protocol for a User-Centered Design Evaluation.

JMIR research protocols Mar 27, 2026
BACKGROUND: Neonatal mortality remains a major public health challenge in low- and middle-income countries (LMICs), particularly in sub-Saharan Africa, where health systems often lack effective triage mechanisms to identify and prioritize high-risk n... read more 
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