Artificial Intelligence Medical Compendium

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

Showing 7,811 to 7,820 of 207,466 articles

Optimizing cervical breath sound acquisition protocol in dysphagia patients: an orthogonal experimental study.

Topics in stroke rehabilitation
BACKGROUND: Dysphagia is a highly prevalent condition among patients with stroke. Cervical auscultation serves as a crucial screening method for dysphagia detection. The advancement of artificial intelligence has enabled acoustic analysis to emerge a... read more 

Techniques and outcomes review of the endoscopic management of gastrointestinal bleeding.

Expert review of gastroenterology & hepatology
INTRODUCTION: Gastrointestinal (GI) bleeding is a frequent and potentially life-threatening emergency that imposes a substantial healthcare burden worldwide. Over the past three decades, advances in endoscopic technology and technique have transforme... read more 

Beyond Broca and Wernicke: Epilepsy surgery in the language areas.

Epileptic disorders : international epilepsy journal with videotape
Epilepsy surgery in language areas is challenged by the intricacies of presurgical workup and surgical planning. In recent decades, the view of language-related circuitry has shifted from being localized in a few cortical centers to a distributed, dy... read more 

Probiotics and Postbiotics in Life-Style Disease Management: A Comprehensive Review on the Technologies in the Era of Omics and Artificial Intelligence.

Probiotics and antimicrobial proteins
Both conventional and next-generation probiotics play a crucial role in maintaining host homeostasis. They modulate insulin sensitivity, immune-regulation, lipid metabolism, and trimethylamine synthesis. In recent years, probiotics have emerged as an... 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 

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 

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 

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 

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 

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