Artificial Intelligence Medical Compendium

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

Showing 73,071 to 73,080 of 235,381 articles

Machine learning pipeline with custom grid search for colorectal Raman spectroscopy data.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Colorectal cancer remains a major health burden, and its early detection is crucial for effective treatment. This study investigates the use of a handheld Raman spectrometer in combination with machine learning to classify colorectal tissue samples c... read more 

AI-driven diagnosis of Lassa fever: Evidence from Nigerian clinical records.

Computational biology and chemistry
BACKGROUND: Neglected Tropical Diseases (NTDs), particularly Lassa fever, remain a significant public health challenge in Nigeria, often presenting with symptoms similar to malaria. These similarities contribute to misdiagnoses, delayed treatments, a... read more 

In silico evaluation of pharmacokinetic properties and molecular docking for the identification of potential anticancer compounds.

Computational biology and chemistry
INTRODUCTION: In the pharmaceutical field, the rapid and accurate characterization of physicochemical properties is essential for drug development. In this context, in silico methodologies facilitate the early-stage prediction of ADME (Absorption, Di... read more 

MiR-138 reprograms dental pulp stem cells into GABAergic neurons via the GATAD2B/MTA3/WNTs axis for stroke treatment.

Biomaterials
Prolonged periods of ischemia and hypoxia pose significant challenges to exogenous stem cell transplantation, including minimal cell survival, varied differentiation, and poor integration with existing neural networks. Dental pulp stem cells (DPSCs) ... read more 

BM3D filtering with Ensemble Hilbert-Huang Transform and spiking neural networks for cardiomegaly detection in chest radiographs.

Computational biology and chemistry
Cardiomyopathy is a life-threatening condition associated with heart failure, arrhythmias, thromboembolism, and sudden cardiac death, posing a significant contribution to worldwide morbidity and mortality. Cardiomegaly, which is usually the initial r... read more 

Artificial intelligence-driven decision tree model for predicting quality of life determinants in women with endometriosis.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
OBJECTIVE: Endometriosis significantly impacts the quality of life (QoL) of affected women due to its complex symptomatology. This study aimed to develop a decision tree-based model to identify the key determinants influencing QoL in women with endom... read more 

Development and validation of a transformer-based deep learning model for predicting distant metastasis in non-small cell lung cancer using 18FDG PET/CT images.

Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico
BACKGROUND: This study aimed to develop and validate a hybrid deep learning (DL) model that integrates convolutional neural network (CNN) and vision transformer (ViT) architectures to predict distant metastasis (DM) in patients with non-small cell lu... read more 

Addressing educational overload with generative AI through dual coding and cognitive load theories.

Medical teacher
WHAT WAS THE EDUCATION CHALLENGE?: Health professions education faces a critical challenge: the volume and complexity of medical knowledge has outpaced the cognitive limits of learners. Cognitive load theory indicates that traditional text-heavy inst... read more 

Non-invasive prediction of the secondary enucleation risk in uveal melanoma based on pretreatment CT and MRI prior to stereotactic radiotherapy.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]
PURPOSE: The aim of this study was to develop a radiomic model to non-invasively predict the risk of secondary enucleation (SE) in patients with uveal melanoma (UM) prior to stereotactic radiotherapy using pretreatment computed tomography (CT) and ma... read more 

GAIDeT (Generative AI Delegation Taxonomy): A taxonomy for humans to delegate tasks to generative artificial intelligence in scientific research and publishing.

Accountability in research
BACKGROUND: The integration of generative artificial intelligence (GAI) in research raises concerns about transparency, accountability, and task delegation. While frameworks such as CRediT and the NIST AI Use Taxonomy address contributions to researc... read more