Artificial Intelligence Medical Compendium

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

Showing 16,681 to 16,690 of 213,633 articles

DNA methylation biomarkers-based pan-cancer classifier: predictive modeling for cancer classification.

Genome medicine
BACKGROUND: Machine-learning (ML) driven molecular diagnostics based on omics data has a potential to revolutionize personalized medicine. However, implementation of ML into diagnostic protocols is hindered by methodological challenges which often le... read more 

DeepCYP: an integrated deep learning web server for the holistic "pathway-site product" prediction of CYP450 metabolism.

Nucleic acids research
CYP450 (cytochrome P450)-mediated drug metabolism is a critical determinant of pharmacokinetics and clinical safety, making comprehensive metabolic profiling essential for rational drug discovery. Here, we present DeepCYP (https://deepcyp.scbdd.com),... read more 

Prospects and Challenges of Personalized Immunotherapy in Breast Cancer Treatment and Long-term Cancer Management.

Zhongguo yi xue ke xue yuan xue bao. Acta Academiae Medicinae Sinicae
Breast cancer is highly heterogeneous,and different molecular subtypes exhibit significant variations in their response to immunotherapy.While significant progress has been achieved in the development of immune checkpoint inhibitors,chimeric antigen ... read more 

Human-Artificial Intelligence Collaborative Decision-Making in Emergencies: Relative Advantage Theory.

Human factors
ObjectiveThis study proposes Relative Advantage Theory to explain decision-making mechanisms in emergencies where humans collaborate with AI systems, and provides initial empirical evidence consistent with its core assumptions.BackgroundWhile artific... read more 

PyRMD Studio: A Unified Suite for Next-Generation, AI-Powered Virtual Screening.

Journal of chemical information and modeling
Artificial Intelligence (AI) has become a cornerstone of modern drug discovery. Yet, its widespread adoption is often hindered by the steep learning curve of command-line tools and the prevalence of overfitting due to improper data splitting. Here, w... read more 

ABRefine: An Accurate Antibody Structure Refinement Method by Equivariant Graph Transformer with Rigid Body Constraint.

Journal of medicinal chemistry
Accurate antibody structural modeling is essential for therapeutic antibody development. However, even advanced artificial intelligence models such as AlphaFold2/3 struggle to precisely predict antibody structures due to the high flexibility of the c... read more 

Development and validation of the Dietitians' Perceived Trust in Artificial Intelligence Scale: A multidimensional measure for professional practice.

Nutrition & dietetics : the journal of the Dietitians Association of Australia
AIMS: Trust plays a critical role in the decision-making and responsible use of artificial intelligence within professional contexts in health science. This study aimed to develop and validate a novel scale to assess dietitians' perceived trust in di... read more 

Deep learning Algorithm for Wound assessment after total kNee (DAWN) arthroplasty : a prospective study protocol.

Bone & joint open
AIMS: This study aims to develop and internally validate an AI approach based on a deep learning (DL) algorithm to classify wound photographs as either 'healing well' or 'requiring review' after a total knee arthroplasty (TKA). METHODS: A prospective... read more 

The ancient trading hubs of modern science: Bridging the divide between microscopists and data scientists.

Journal of microscopy
Biomedical imaging is increasingly defined by a paradox: advances in microscopy now enable the routine generation of extraordinarily rich, high-dimensional datasets, yet the extraction of reproducible, biologically meaningful insight from those data ... read more 

Augmenting prion surveillance by immunohistochemistry using artificial intelligence-based image analysis.

Veterinary pathology
Chronic wasting disease (CWD) and scrapie are transmissible spongiform encephalopathy diseases caused by prions, infectious forms of the prion protein. Currently, immunohistochemistry (IHC) is the sole approved diagnostic method for confirming these ... read more