Artificial Intelligence Medical Compendium

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

Showing 1,961 to 1,970 of 200,859 articles

Integrating AI in Medicinal Chemistry for Accelerated Drug Discovery: A Comprehensive SAR (CSAR) Optimization Strategy and Discovery of Potent ALDH3A1 Inhibitors.

Journal of medicinal chemistry
Developing potent, selective small-molecule inhibitors remains a major challenge in drug discovery. ALDH3A1, a detoxifying aldehyde dehydrogenase isoform implicated in cancer and neurodegeneration, is a promising yet underexplored therapeutic target.... read more 

Ultraprecise Sign Language Recognition Realized by Self-Recoverable Near-Infrared Mechanoluminescent Materials.

Advanced materials (Deerfield Beach, Fla.)
Advancements in human-machine interaction technology require flexible sensors to possess core capabilities, including high stability, anti-interference properties, and self-powering functionality. Traditional electrical sensors usually struggle to ad... read more 

Quantitative MRI of pediatric chronic kidney disease and renal fibrosis: potential non-invasive clinical biomarkers.

Pediatric radiology
Chronic kidney disease (CKD) in children is a rare but serious condition characterized by progressive renal dysfunction and a range of systemic complications. Renal fibrosis plays a central role in disease progression, representing irreversible damag... read more 

Analysis of electroencephalogram microstates and spectral power in children and adolescents with attention deficit hyperactivity disorder.

European child & adolescent psychiatry
Attention-Deficit/Hyperactivity Disorder (ADHD) is a widely recognized neurodevelopmental disorder characterized by inattention, hyperactivity, and impulsivity. Behavioral assessment, the current gold standard for diagnosis, is subject to inaccuracie... read more 

Predicting De Novo Stress Urinary Incontinence After Colpocleisis Using Clinical and Pelvic Floor Ultrasound Parameters: Development and Internal Validation of a Multimodal Model.

International urogynecology journal
INTRODUCTION AND HYPOTHESIS: De novo stress urinary incontinence (SUI) remains a clinically relevant complication after colpocleisis for advanced pelvic organ prolapse (POP), and reliable preoperative risk stratification remains limited. We aimed to ... read more 

Shaping AI in Pelvic Floor Physiotherapy: The Impact of Role-Play Prompting on ChatGPT Response Quality.

International urogynecology journal
INTRODUCTION AND HYPOTHESIS: Pelvic floor physiotherapy (PFP) is a highly specialized field requiring complex and multidisiplinary clinical reasoning. While large language models (LLMs) are increasingly being utilized to support clinical education an... read more 

AI-driven big data analysis and predictive modeling of infectious disease immunity: from correlates to causal, multiscale understanding.

Archives of microbiology
The ability to reliably predict protective immunity against infectious diseases remains a central challenge in immunology, vaccine development, and public health. Despite major advances in immunological measurement, immunity prediction has historical... read more 

Machine learning-based MRI radiomics identifies patients with degenerative cervical myelopathy and predicts baseline function.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
PURPOSE: The diagnosis of Degenerative cervical myelopathy (DCM) relies on clinical evaluation and conventional MRI, yet early symptoms are subtle and non-specific, creating diagnostic uncertainty. High rates of asymptomatic cervical spinal cord comp... read more 

AI hallucinations in academic writing: implications for research integrity.

Naunyn-Schmiedeberg's archives of pharmacology
As artificial intelligence becomes deeply embedded in scholarly practice, a critical and underexamined threat to research integrity has emerged: AI hallucinations. AI hallucinations refer to outputs generated by large language models that are factual... read more 

Automated interictal epileptic spike detection from simple and noisy annotations in MEG data.

Brain structure & function
In drug-resistant epilepsy, presurgical evaluation can be considered for suitable candidates. Magnetoencephalography (MEG) has been shown to be an effective exam to inform the localization of the epileptogenic zone through the localization of interic... read more