Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 1,851 to 1,860 of 213,633 articles
A Deterministic Framework for Transforming Multi-Informant Observational Data into Structured Descriptors: A Feasibility Study.
Methods of information in medicine
Jul 16, 2026
Background Multi-informant observational data obtained from parents and educators provide rich but context-dependent information. However, these data are rarely transformed into structured representations that can be consistently shared and interpret... read more
Teaching Critical Appraisal in the Age of Generative Artificial Intelligence: A Structured Framework for Nursing Education.
Computers, informatics, nursing : CIN
Jul 16, 2026
Personalised approach to hypertension treatment: protocol for the HYPERMARKER randomised controlled trial.
BMJ open
Jul 16, 2026
INTRODUCTION: Blood pressure treatment response is variable in individual patients, and the choice of medical therapy is often dependent on clinician experience. Treatment choices could be personalised by patient empowerment and metabolomic profiles,... read more
Machine learning evaluation of clinical, social and behavioural factors influencing progression from pre-diabetes to type 2 diabetes: a retrospective cohort study in southeast Michigan.
BMJ open
Jul 16, 2026
OBJECTIVE: We aimed to use machine learning (ML) models to investigate the impact of clinical, social and behavioural factors on 1-year progression from pre-diabetes to type 2 diabetes mellitus (DM). DESIGN: A retrospective cohort study. SETTING: A l... read more
Awareness, knowledge and attitudes towards artificial intelligence among nursing students: a systematic review protocol.
BMJ open
Jul 16, 2026
INTRODUCTION: Internationally, nursing students' awareness and familiarity with artificial intelligence (AI) remain a challenge as evidenced by the current literature. Interestingly, the Gulf Cooperation Council (GCC) region has earned a strong stand... read more
Trustworthiness in AI: on SciCompBot-the scientific computing chatbot.
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Jul 16, 2026
This paper explores the prospect of a scientific computing chatbot (SciCompBot): an artificial intelligence (AI) system designed to address advanced problems in optimization, spectral computations (eigenvalues, eigenvectors, spectra), differential eq... read more
Can model attribution bridge AI's accountability gap in safety-critical domains?
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Jul 16, 2026
The current trend of deploying machine learning models as remote services obscures which specific models users are interacting with, exacerbating an accountability gap that becomes ever more pressing as these technologies make their way into safety-c... read more
Is it safe to deploy AI in safety-critical systems?
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Jul 16, 2026
We consider the reality of deploying artificial intelligence (AI) in safety-critical systems, such as autonomous vehicles, medical diagnoses and weather forecasting. Our discussion is grounded in the mathematical nature of AI systems, including how a... read more
Mitigating medical bias in large language models by prompt engineering: an empirical study of effectiveness and trade-offs.
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Jul 16, 2026
Large language models (LLMs) demonstrate expert-level performance in various medical scenarios, yet their outputs can exhibit bias against groups or individuals with specific sensitive attributes, posing risks to patient safety and undermining trust ... read more
Online safety by design: towards user-centric development of safer AI-based systems.
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Jul 16, 2026
In this opinion piece, we present the view that the safety and security of end users should be placed at the heart of the design and development of any AI-based system deployed on an online service to ensure that risks of harm are minimized. We also ... read more
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