Artificial Intelligence Medical Compendium

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

Showing 17,481 to 17,490 of 213,726 articles

Co-Evolution of the Activity and Thermostability of (R)-Transaminase AcTA by Data-Driven Exploration of Combinatorial Mutagenesis Space.

Journal of agricultural and food chemistry
Optically active (R)-amines are pivotal building blocks of a variety of agrochemicals and food-related bioactive compounds. To construct a biocatalytic route for the efficient synthesis of (R)-amines, a high-performance (R)-TA, AcTA from Aspergillus ... read more 

An examination of real-world disengagement patterns of automated driving systems in autonomous-mode: A deep-learning method.

Traffic injury prevention
OBJECTIVE: Widespread adoption of automated driving systems (ADS) depends fundamentally on their operational reliability. Frequent or unexpected disengagements pose a significant barrier by undermining user trust. Although human-automation interactio... read more 

Advancing equity in endometrial cancer: A narrative synthesis using a cluster-informed framework for resource-stratified implementation.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
Endometrial cancer incidence and mortality are rising globally, disproportionately affecting health systems facing diagnostic, therapeutic, and survivorship constraints. Rapid innovations-including the International Federation of Gynecology and Obste... read more 

T2-FLAIR digital subtraction radiomics versus neuroradiologist visual assessment for differentiating IDH-mutant astrocytomas from other non-enhancing low-grade gliomas: An externally validated machine learning study.

Neuroradiology
PURPOSE: Non-invasive differentiation of isocitrate dehydrogenase (IDH)-mutant, 1p/19q non-codeleted astrocytomas from other non-enhancing low-grade gliomas (LGGs) is crucial for treatment planning and prognostication, as these molecular subtypes hav... read more 

Automatic choroid plexus assessment in SLE: a deep learning-enabled study.

Neuroradiology
PURPOSE: This study developed a deep learning model for automated choroid plexus (ChP) segmentation and examined its relationship with systemic inflammation and processing speed and attention deficits (PSAD) in SLE patients without major neuropsychia... read more 

Incentivizing artificial intelligence in surgery.

Surgical endoscopy
BACKGROUND: Artificial intelligence (AI) is a rapidly growing technological advancement that can be used to transform surgical practice. Applications range from robotic assistance and computer vision, to perioperative guidance and administrative task... read more 

Evaluating multi-task network architectures for simultaneous breast lesion segmentation and classification in ultrasound images.

Medical & biological engineering & computing
Breast lesion segmentation and classification in ultrasound (US) images are two essential tasks for computer-aided diagnosis of breast cancer. However, these tasks are still challenging, mainly due to the high variability of lesions and the poor imag... read more 

EchoAgent: guideline-centric reasoning agent for echocardiography measurement and interpretation.

International journal of computer assisted radiology and surgery
PURPOSE: Echocardiographic interpretation requires video-level reasoning and guideline-based measurement analysis, which current deep learning models for cardiac ultrasound do not support. We present EchoAgent, a framework that enables structured, in... read more 

MRI Habitat Analysis for Preoperative Prediction of Perineural Invasion and Prognostic Stratification in Rectal Cancer.

Journal of magnetic resonance imaging : JMRI
BACKGROUND: Accurate preoperative assessment of perineural invasion (PNI) remains challenging in rectal cancer. PURPOSE: To develop assessment models based on preoperative multiparametric MRI (mpMRI) habitat analysis for evaluating PNI status and to ... read more