Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 209,311 articles

From generalization to precision: A large domain-specific pretrained model for specialized medical tasks.

Cell reports. Medicine
Foundation models are recognized for their broad generalizability across diverse tasks, which has driven their widespread adoption. In medicine, however, precision is often paramount, particularly in the era of precision medicine, where diagnostic an... read more 

An edge-IoT water quality index (IoT-WQI) for first-line screening: accelerating computation via deterministic mathematical equations and grouped AHP.

Scientific reports
Real-time water quality monitoring remains challenging due to the high latency of centralized laboratory analysis and the substantial computational payload of Machine Learning (ML) inference. While existing Internet of Things (IoT) frameworks deploy ... read more 

Hidden pathways of antimicrobial resistance: A review of environmental metagenomics and exposure risks in low-resource settings.

Journal of environmental management
Antimicrobial resistance (AMR) is increasingly recognised as a One Health challenge in which environmental reservoirs play an important role in the persistence and dissemination of resistance genes. Despite growing recognition that environmental anti... read more 

Exploring the Potential of Ambient AI for Inpatient Documentation: A Qualitative Study with Junior Doctors.

Journal of medical systems
Clinical documentation is essential for safe and effective patient care but places a substantial clerical burden on doctors, particularly those early in training. Ambient artificial intelligence (AI) systems, which passively capture clinical conversa... read more 

Determinants of medical students' attitudes toward artificial intelligence: a cross-sectional study and implications for medical education.

BMC medical education
BACKGROUND: Artificial intelligence (AI) has emerged as one of the most rapidly evolving technologies in recent years and is increasingly being integrated into healthcare, education, and everyday life. Examining university students' attitudes toward ... read more 

Association between persistent organic pollutants and malaria incidence in mainland China: a population-based surveillance and modeling analysis.

BMC public health
BACKGROUND: This study investigates malaria incidence trends in mainland China from 2005 to 2020, to elucidate its epidemiological characteristics and investigate potential associations with air pollution. Reasonable prediction is of great significan... read more 

Leveraging generative artificial intelligence for the development of non-interventional research study protocols: a proof-of-concept feasibility study.

BMC medical research methodology
BACKGROUND: The writing of study protocols is a labor and time-intensive process. We hypothesized that the writing of some methodological aspects of study protocols for non-interventional studies (NIS) could be amenable to automation using generative... read more 

Assessment of the knowledge, attitudes, and practices of pharmacy students toward self-medication using artificial intelligence: a cross-sectional study.

BMC medical education
BACKGROUND: The objectives of our study were to assess self-reported knowledge, attitudes and practices (KAP) among pharmacy students regarding self-medication (SM) using artificial intelligence (AI) for personal use, to determine the relationships a... read more 

Assessment of the knowledge, attitudes, and practices of pharmacy students toward self-medication using artificial intelligence: a cross-sectional study.

BMC medical education
BACKGROUND: The objectives of our study were to assess self-reported knowledge, attitudes and practices (KAP) among pharmacy students regarding self-medication (SM) using artificial intelligence (AI) for personal use, to determine the relationships a... read more 

Agentic AI integrated with scientific knowledge: laboratory validation in systems biology.

Journal of the Royal Society, Interface
Automation is transforming scientific discovery by enabling systematic exploration of complex hypotheses. Large language models (LLMs) perform well across diverse tasks and promise to accelerate research, but often struggle with logical structures. H... read more