Artificial Intelligence Medical Compendium

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

Showing 4,851 to 4,860 of 203,854 articles

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 

Technical challenges in autonomous robotic ultrasound examinations: perception, planning, and control.

Journal of robotic surgery
Ultrasound is one of the most widely used medical imaging modalities in clinical practice. Robot-assisted ultrasound systems (RAUS) offer significant advantages in reducing physician workload and improving imaging standardization. However, the dynami... read more 

Spatially resolved single cell analysis suggests an APOE NCF1 associated immunosuppressive niche and its prognostic signature in thyroid cancer.

Discover oncology
BACKGROUND: Thyroid carcinoma (TC) presents a rising global incidence, with a subset of cases progressing aggressively despite standard therapies. The tumor microenvironment (TME), particularly the functional state of CD8⁺ T cells, is crucial in dise... read more 

Integrating machine learning and spatiotemporal transcriptomics to build a diagnostic model for osteosarcoma metastasis and to decipher the role of necroptosis genes.

Discover oncology
OBJECTIVE: To develop a diagnostic model for osteosarcoma metastasis and elucidate the spatiotemporal role of necroptosis genes. METHODS: Multi-omics data (TCGA/GEO, single‑cell, spatial transcriptomics) were integrated using 113 machine learning alg... read more 

AI-driven text mining of the female reproductive system: enabling multiscale biomedical modeling and personalized medicine.

Nano convergence
The female reproductive system, including the endometrium, placenta, ovary, cervix, and fallopian tube, plays a critical role in conception, implantation, and fetal development. Recent advances in bioengineered models such as organoids, organ-on-a-ch... read more