Artificial Intelligence Medical Compendium

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

Showing 39,221 to 39,230 of 223,737 articles

Novel explainable deep learning based drug sensitivity prediction for early treatment of breast cancer.

Scientific reports Mar 24, 2026
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Smartphone-derived joint angular velocities in sit-to-stand motion provide a spatiotemporal marker for symptomatic knee osteoarthritis.

Communications medicine Mar 24, 2026
BACKGROUND: Knee osteoarthritis (OA) is a debilitating condition that compromises mobility and exacerbates knee pain, necessitating accurate and accessible diagnostic tools. Traditional motion capture technology, while effective, is often cost-prohib... read more 

A cost-sensitive multiclass machine learning framework for postoperative neurosurgical triage (Neuro-TACTIC).

Scientific reports Mar 24, 2026
Postoperative placement of patients into a regular ward, an intermediate-care unit (IMC), or an intensive care unit (ICU) is critical for balancing patient safety against resource constraints. Most existing models collapse this decision into a binary... read more 

Comparison of artificial intelligence methods with manual measurements for mandibular bucco-lingual bone width assessment using cone-beam computed tomography images.

Oral radiology Mar 24, 2026
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Optimising pandemic response through vaccination strategies using neural networks.

Scientific reports Mar 24, 2026
Epidemic risk assessment poses inherent challenges, with traditional approaches often failing to balance health outcomes and economic constraints. This paper presents a data-driven decision support tool that models epidemiological dynamics and optimi... read more 

Temporal Learning with Dynamic Range (TLDR) for modeling recurrent exposure and treatment outcomes.

Scientific reports Mar 24, 2026
The temporal sequence of clinical events is crucial in outcomes research, yet standard machine learning (ML) approaches often overlook this aspect in electronic health records (EHRs), limiting predictive accuracy. We introduce Temporal Learning with ... read more 

Enzyme-constrained genome-scale model of Yarrowia lipolytica predicts growth-phase specific metabolic engineering targets.

Applied microbiology and biotechnology Mar 24, 2026
The oleaginous yeast Yarrowia lipolytica has been gaining increasing importance as an industrial biotech platform, supported by several available metabolic engineering tools. Genome-scale models (GEMs) are relevant to the iterative improvement of thi... read more 

Adversarial AI reveals mechanisms and treatments for disorders of consciousness.

Nature neuroscience Mar 24, 2026
Understanding disorders of consciousness (DOC) remains one of the most challenging problems in neuroscience, hindered by the lack of experimental models for probing mechanisms or testing interventions. Here, to address this, we introduce a generative... read more 

Discrete bidirectional memristive neural network-based hyperchaotic system and its FPGA implementation.

Neural networks : the official journal of the International Neural Network Society Mar 24, 2026
Memristors, owing to their unique non-volatile and nonlinear characteristics, have been widely used to construct biomimetic neural network models. In recent years, discrete-time memristive neural networks (DMNN) have demonstrated significant research... read more 

Intraventricular hemorrhage in preterm infants: A systematic review of risk- and outcome-prediction models.

Seminars in fetal & neonatal medicine Mar 24, 2026
Intraventricular hemorrhage (IVH) is a major complication of prematurity and one of the top causes of mortality and neurodevelopmental impairment. We conducted a systematic review of PubMed, Scopus, and Web of Science (From 1980 to 2025), identifying... read more 
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