Artificial Intelligence Medical Compendium

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

Showing 1,671 to 1,680 of 164,718 articles

Conversations over Clicks: Impact of Chatbots on Information Search in Interdisciplinary Learning

arXiv
This full research paper investigates the impact of generative AI (GenAI) on the learner experience, with a focus on how learners engage with and utilize the information it provides. In e-learning environments, learners often need to navigate a com... read more 

Dentists' perception and use of AI and robotics in the care of persons with disabilities.

Scientific reports
Despite the growing role of AI and robotics in healthcare, little is known about their integration into dental care for persons with disabilities (PWDs) in Saudi Arabia. This study aimed to assess dentists' perceptions and attitudes towards and use o... read more 

Boost Self-Supervised Dataset Distillation via Parameterization, Predefined Augmentation, and Approximation

arXiv
Although larger datasets are crucial for training large deep models, the rapid growth of dataset size has brought a significant challenge in terms of considerable training costs, which even results in prohibitive computational expenses. Dataset Dis... read more 

Artificial intelligence in pediatric ophthalmology: a comparative study of ChatGPT-4.0 and DeepSeek-R1 performance.

Strabismus
: This study aims to evaluate and compare the accuracy and performance of two large language models (LLMs), ChatGPT-4.0 and DeepSeek-R1, in answering pediatric ophthalmology-related questions. : A total of 44 multiple-choice questions were selected, ... read more 

Democratizing cost-effective, agentic artificial intelligence to multilingual medical summarization through knowledge distillation.

Scientific reports
The increasing demand for multilingual capabilities in healthcare technology highlights the critical need for AI solutions capable of handling underrepresented languages, such as Arabic, in clinical documentation. Arabic's unique linguistic complexit... read more 

Representations in vision and language converge in a shared, multidimensional space of perceived similarities

arXiv
Humans can effortlessly describe what they see, yet establishing a shared representational format between vision and language remains a significant challenge. Emerging evidence suggests that human brain representations in both vision and language a... read more 

Leveraging AI to Optimize Maintenance of Health Evidence and Offer a One-Stop Shop for Quality-Appraised Evidence Syntheses on the Effectiveness of Public Health Interventions: Quality Improvement Project.

Journal of medical Internet research
BACKGROUND: Health Evidence provides access to quality appraisals for >10,000 evidence syntheses on the effectiveness and cost-effectiveness of public health and health promotion interventions. Maintaining Health Evidence has become increasingly reso... read more 

Data Leakage and Redundancy in the LIT-PCBA Benchmark

arXiv
LIT-PCBA is a widely used benchmark for virtual screening, but our audit reveals it is fundamentally compromised. The dataset suffers from egregious data leakage, rampant duplication, and pervasive analog redundancy -- flaws that invalidate its use... read more 

Autoparty: Machine Learning-Guided Visual Inspection of Molecular Docking Results.

Journal of chemical information and modeling
Human inspection of potential drug compounds is crucial in the virtual drug screening pipeline. However, there is a pressing need to accelerate this process, as the number of molecules humans can realistically examine is extremely limited relative to... read more 

Cluster Analysis Reveals Subgroups with Different Risk Profiles and Sickness Absence Patterns in an Occupational Health Cohort.

Journal of occupational rehabilitation
PURPOSE: Using unsupervised and supervised machine learning methods, we aimed to identify clinically relevant groups of employees with similar characteristics and analyze the association of long and short sickness absence periods with these groups. read more