Artificial Intelligence Medical Compendium

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

Showing 66,911 to 66,920 of 232,511 articles

Development and Validation of an Artificial Intelligence Surgical Video Analysis Model for Predicting Visceral Pleural Invasion in Lung Cancer Surgery: A Multicenter Study.

Annals of surgical oncology
BACKGROUND: Intraoperative diagnosis of visceral pleural invasion (VPI) during video-assisted thoracoscopic surgery (VATS) remains challenging. This study aimed to develop and validate a deep learning-based model to improve diagnostic accuracy and gu... read more 

Smooth Muscle Disruptive Feature Defines Molecular Subtyping, Risk Stratification, and Metastatic Potential in Prostate Cancer.

Annals of surgical oncology
BACKGROUND: Smooth muscle (SM) invasion represents a critical feature of prostate cancer (PCa) progression and metastasis. This study aimed to develop a SM-based molecular score for progression and metastasis forecasting for PCa. PATIENTS AND METHODS... read more 

Predicting molecular types of adult-type diffuse gliomas based on MRI reports with large language models.

European radiology
OBJECTIVES: To evaluate the performance of large language models (LLMs) in predicting molecular types of adult-type diffuse gliomas according to the 2021 WHO classification using MRI radiology reports. MATERIALS AND METHODS: This retrospective study ... read more 

Machine Learning in Microbiome Research and Engineering.

ACS synthetic biology
Microbiomes, complex communities of microorganisms and their genetic material, hold immense potential for addressing global challenges in diverse sectors, including healthcare, agriculture, and bioproduction. Engineering these intricate ecosystems, h... read more 

Dynamic-Guided Diffusion Probability Model for Cranial Nerves Segmentation.

Magnetic resonance in medicine
PURPOSE: Segmentation of cranial nerves (CNs) bundles using magnetic resonance imaging (MRI) provides a valuable quantitative approach for analyzing the morphology and orientation of individual CNs. Currently, the CN regions can be segmented directly... read more 

PEGASUS: Unlocking Polarity in Cell-Permeable Cyclic Peptides Using AI Models Built on Massively Parallel Biological Assays.

Journal of medicinal chemistry
Cyclic peptides are a promising class of therapeutics that have the potential for oral bioavailability but are hindered by cell membrane permeability and aqueous solubility. Artificial intelligence (AI) can address the challenging multiparameter opti... read more 

Dynamic Analysis of the Substrate Tolerance Mechanism and Domain Synergistic Engineering of CYP450 Fusion Protein (CYPLY).

Journal of agricultural and food chemistry
CYP450 enzymes are important in natural product biosynthesis and industrial catalysis. A significant challenge in their engineering is alleviating substrate inhibition and improving electron transfer properties. Here, multitemplate homology modeling ... read more 

Prediction of postoperative delirium after cardiac surgery by the interplay between preoperative plasma p-tau181 and IL-6 and heart-brain axis related factors: results from the prospective observational study FINDERI.

Molecular psychiatry
Postoperative delirium (POD) following cardiac surgery is a severe complication. There is evidence of a link between neuroinflammation and neurodegeneration in POD. We investigated the preoperative proinflammatory interleukin-6 (IL-6) and neuronal da... read more 

Refining Sleep-Disordered Breathing Annotations Across Multiple Public Sleep Study Datasets.

Journal of sleep research
Polysomnography annotations in Sleep Heart Health Study (SHHS), Osteoporotic Fractures in Men Study (MrOS), and Multi-Ethnic Study of Atherosclerosis (MESA) scored apneas and hypopneas solely by flow reduction rather than following the American Acade... read more 

Protein design and RNA design: Perspectives.

Quantitative biology (Beijing, China)
Advances in deep learning and generative modeling have transformed the landscape of protein and RNA design, enabling rapid and precise creation of novel biomolecules with tailored structures and functions. In protein design, generative deep learning ... read more