Artificial Intelligence Medical Compendium

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

Showing 31,111 to 31,120 of 220,293 articles

Psychometric modeling of Boston process approach data for dementia prediction in the Framingham Heart Study.

Journal of the International Neuropsychological Society : JINS
OBJECTIVES: Neuropsychological (NP) tests are multi-domain in execution. Reliance on a single score representing specific domains obscures the detection of subtle cognitive changes and increases risk of inaccurate assessment. Rooted in the Boston Pro... read more 

Motion-Steered Noise Management in Hearing Aids Reduces Listening Effort and Stress Indexed by Pupil Size and Heart Rate.

Ear and hearing
OBJECTIVES: Head and body movements influence real-world hearing outcomes, yet they are often overlooked in clinical evaluations of hearing aids. This reduces ecological validity and limits assessments of motion-based features. To overcome this, the ... read more 

Integrated multi-omics and machine learning identify Casp8 and Pycard as central regulators of pyroptosis and necroptosis in spinal cord injury.

Neural regeneration research
Programmed cell death pathways exacerbate secondary damage after spinal cord injury, yet their shared regulators and tractable therapeutic points remain elusive. We aimed to identify cross-pathway regulators that integrate pyroptosis and necroptosis ... read more 

Digital Technology for Sleep Symptoms in Parkinson's Disease: A Scoping Review.

Journal of movement disorders
Sleep disturbances are highly prevalent and clinically significant non-motor features of Parkinson's disease (PD). Although in-laboratory polysomnography remains the gold standard, its limited scalability and ecological validity constrain longitudina... read more 

Review of Recent Advances in Implantable Brain-Computer Interfaces for the Restoration of Motor Function in Patients With Paralysis.

Medical science monitor : international medical journal of experimental and clinical research
Implantable brain-computer interfaces (BCIs) - positioned at the intersection of neuromedicine and clinical neurorehabilitation - have achieved notable advances in restoring motor function for individuals with paralysis. By using invasive electrodes ... read more 

Revealing global stoichiometry conservation architecture in cells from Raman spectral patterns.

eLife
Cells can adapt to various environments by changing their biomolecular profiles while maintaining physiological homeostasis. What organizational principles in cells enable the simultaneous realization of adaptability and homeostasis? To address this ... read more 

Use of Continuous Glucose Monitoring With Machine Learning to Identify Metabolic Subphenotypes and Inform Precision Lifestyle Changes.

Journal of diabetes science and technology
The classification of diabetes and prediabetes by static glucose thresholds obscures the pathophysiological dysglycemia heterogeneity, primarily driven by insulin resistance (IR), β-cell dysfunction, and incretin deficiency. This review demonstrates ... read more 

To disclose or not to disclose: Peer influence and psychological factors in students' use of generative artificial intelligence.

The British journal of educational psychology
BACKGROUND: The integration of generative artificial intelligence (GenAI) into higher education has transformed academic practices and redefined the boundaries of academic integrity. Despite institutional mandates for disclosure, students frequently ... read more 

Assessing the ability of large language models to summarize and generate maxillofacial prosthetic treatment options.

Journal of prosthodontics : official journal of the American College of Prosthodontists
PURPOSE: The aim was to evaluate the ability of four large language models (LLMs) (OpenAI's ChatGPT-3.5, Microsoft 365 Copilot, DeepSeek-R1, and Google Gemini 2.5 Pro) to develop treatment options when presented with clinical cases published in the m... read more 

Geometry-engineered hourglass-shaped cracks enable wide-linearity wearable strain sensors.

Materials horizons
Flexible and stretchable strain sensors have attracted growing interest for applications in health monitoring and human-machine interfaces. Conventional crack-based resistive strain sensors can achieve high sensitivity and large strain ranges by expl... read more