Artificial Intelligence Medical Compendium

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

Showing 59,081 to 59,090 of 227,876 articles

Machine learning-based prediction of diabetic retinopathy from pupillary abnormalities in a South Indian population.

PloS one Jan 22, 2026
Diabetic retinopathy (DR) is a common complication of diabetes that can lead to vision loss. Early detection and prevention of DR is crucial to reduce the burden of this disease. The purpose of this study was to build a prediction model for DR using ... read more 

The influence of generative artificial intelligence usage on employees' innovative job performance.

PloS one Jan 22, 2026
The rapid advancement of AI technology has accelerated the adoption of generative artificial intelligence (GenAI) tools in the workplace, eroding the boundaries between professional responsibilities and personal space, thus impacting employees' innov... read more 

A screening strategy based on machine learning for diagnostic biomarkers in small cell lung cancer.

PloS one Jan 22, 2026
Small cell lung cancer (SCLC) is the most aggressive subtype with high mortality rates due to the lack of specific diagnostic biomarkers to delay the optimal opportunity for treatment. Traditional biomarkers, such as neuron-specific enolase (NSE) or ... read more 

A predicted structural interactome reveals binding interference from intrinsically disordered regions.

PLoS computational biology Jan 22, 2026
Proteins function through dynamic interactions with other proteins in cells, forming complex networks fundamental to cellular processes. While high-resolution and high-throughput methods have significantly advanced our understanding of how proteins i... read more 

Explainable depth-wise and channel-wise fusion models for multi-class skin lesion classification.

PloS one Jan 22, 2026
The clinical adoption of deep learning in dermatology requires models that are not only highly accurate but also transparent and trustworthy. To address this dual challenge, this study presents a systematic investigation into deep feature fusion, exp... read more 

Engineered Supramolecular Therapeutics in Development for Combating Antibiotic-Resistant Bacterial Infections.

ACS applied bio materials Jan 22, 2026
The emergence of antibiotic-resistant bacteria has rendered conventional antibiotic treatments ineffective, necessitating the development of antibacterial agents with unique mechanisms of action. To address this challenge, researchers have increasing... read more 

De novo protein ligand design including protein flexibility and conformational adaptation.

Bioinformatics (Oxford, England) Jan 22, 2026
MOTIVATION: The rational design of chemical compounds that bind to a desired protein target molecule is a major goal of drug discovery. Most current molecular docking but also fragment-based build-up or machine-learning based generative drug design a... read more 

Decoding Spikes From Multiunit Data.

IEEE reviews in biomedical engineering Jan 22, 2026
Communication and control in biological systems is mediated by the timing of discharges -spikes- from excitable cells such as neurons and muscle fibers. Each spike is associated to a characteristic waveform that can be captured by sensors. The wavefo... read more 

Implicitly Defined Material Decomposition Estimator and Learned Physics-Informed Neural Proxy for Photon Counting CT.

IEEE transactions on medical imaging Jan 22, 2026
Photon counting detector-based CT (PCCT) systems provide spectral count measurements, enabling material decomposition (MD) for quantitative imaging. Maximum-likelihood estimation (MLE) for MD offers asymptotically unbiased and efficient (minimum vari... read more 

A Few-Shot Learning Framework for Time-Varying Scientific Data Generation Via Conditional Diffusion Model.

IEEE transactions on visualization and computer graphics Jan 22, 2026
A key factor in successfully achieving remarkable performance for deep learning models is the availability of large amounts of data. However, in scientific visualization, providing such extensive volumetric data is often infeasible due to the high co... read more 
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