Artificial Intelligence Medical Compendium

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

Showing 2,851 to 2,860 of 168,134 articles

A Machine Learning-Based Prognostication Model Enhances Prediction of Early Hepatic Encephalopathy in Patients With Noncancer-Related Cirrhosis: Multicenter Longitudinal Cohort Study in Taiwan.

JMIR medical informatics
BACKGROUND: Hepatic encephalopathy (HE) contributes significantly to mortality among patients with liver cirrhosis. Early prediction of HE is essential for clinical decision-making, yet remains challenging-particularly in noncancer-related cirrhosis ... read more 

Continual Multiple Instance Learning for Hematologic Disease Diagnosis

arXiv
The dynamic environment of laboratories and clinics, with streams of data arriving on a daily basis, requires regular updates of trained machine learning models for consistent performance. Continual learning is supposed to help train models without... read more 

Synthetic Data Generated by Artificial Intelligence to Optimize Surgical Trial Design.

Annals of surgery
OBJECTIVE: This study aimed to assess artificial intelligence (AI)-based synthetic data (SD) generation technology in surgery, evaluating the accuracy of the generated data and comparing the derived outcomes with real-world data. read more 

Readability analysis of breast cancer resources shared on X-implications for patient education and the potential of AI.

Breast cancer research and treatment
PURPOSE: Breast cancer remains a global public health burden. This study aimed to evaluate the readability of breast cancer articles shared on X (formerly Twitter) during Breast Cancer Awareness Month (October 2024), and it explores the possibility o... read more 

Public Medical Appeals and Government Online Responses: Big Data Analysis Based on Chinese Digital Governance Platforms.

Journal of medical Internet research
BACKGROUND: In the era of internet-based governance, online public appeals-particularly those related to health care-have emerged as a crucial channel through which citizens articulate their needs and concerns. read more 

Exploring the unique characteristics of genes with dual autosomal dominant and recessive inheritance: mechanisms, phenotypes and candidate identification.

Journal of medical genetics
BACKGROUND: Autosomal dominant (AD) inheritance often arises through haploinsufficiency, dominant-negative or gain of function (GoF) effects, while autosomal recessive (AR) inheritance generally results from partial or complete loss of function (LoF)... read more 

Neural Synchrony and Consumer Behavior: Predicting Friends' Behavior in Real-World Social Networks.

The Journal of neuroscience : the official journal of the Society for Neuroscience
The endogenous aspect of social influence, reflected in the spontaneous alignment of behaviors within close social relationships, plays a crucial role in understanding human social behavior. In two studies involving 222 human subjects (Study 1:  = 17... read more 

Can AI grade like a professor? comparing artificial intelligence and faculty scoring of medical student short-answer clinical reasoning exams.

Advances in health sciences education : theory and practice
Many medical schools primarily use multiple-choice questions (MCQs) in pre-clinical assessments due to their efficiency and consistency. However, while MCQs are easy to grade, they often fall short in evaluating higher-order reasoning and understandi... read more 

An improved domain-adversarial network for predicting hemodialysis adequacy.

Biomedical physics & engineering express
Hemodialysis (HD) is the primary life-sustaining treatment for patients with end-stage renal disease (ESRD). However, current real-time monitoring methods during dialysis are costly, complex, and not widely adopted. Therefore, this study aims to prop... read more 

Function of chemokines in embryo implantation.

Placenta
Embryo implantation centrally involves the maternal immune system's specific acceptance of the semi-allogeneic embryo. Despite advances in assisted reproduction, implantation failure remains a key bottleneck limiting clinical pregnancy rates, with it... read more