Artificial Intelligence Medical Compendium

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

Showing 12,951 to 12,960 of 210,785 articles

Precision pharmacology of CNS GPCRs: From biased signaling to translational therapeutics.

Progress in neuro-psychopharmacology & biological psychiatry
G protein-coupled receptors (GPCRs) represent one of the most extensively targeted receptor families in central nervous system (CNS) pharmacology. Recent advances in GPCR biology have transformed traditional paradigms by introducing concepts such as ... read more 

Novel post-translational modification learning signature reveals DPP3 promotes progression of psoriasis by enhancing inflammatory activation.

Gene
BACKGROUND: Although post-translational modifications (PTMs) significantly influence the pathogenesis of psoriasis, their specific mechanisms remain poorly understood. This study aimed to identify novel PTM-targeted therapeutic avenues for the precis... read more 

250 Years of Medicine and Democracy in America.

The American journal of medicine
As the United States approaches its 250th anniversary, this perspective examines the intertwined evolution of medicine and democracy as mutually reinforcing systems grounded in shared principles of human dignity, rights, and collective responsibility... read more 

Integrating Artificial Intelligence into Dental Student Assessments: Current & Future Status.

Journal of dentistry
OBJECTIVES: Integrating AI into traditional forms of medical and dental education has been received optimistically, yet cautiously. Although the use of AI in healthcare student assessment is well established, its use in the assessment of dental stude... read more 

Developing a RAG-Based Chatbot for Healthcare: A Case Study of the HeartWise AI Chatbot.

Studies in health technology and informatics
HeartWise is a proof-of-concept Retrieval Augmented Generation (RAG) chatbot supporting self-care in coronary artery disease. Eight simulated scenarios were used to assess preliminary performance. Six cases (75%) produced guideline-consistent respons... read more 

Real-World Application of a Machine Learning Pipeline for Overall Survival in Chronic Lymphocytic Leukemia.

Studies in health technology and informatics
We developed a machine learning model and validated it using a large-scale, real-world cohort to predict overall survival in patients with Chronic Lymphocytic Leukemia (CLL). The model captured key survival trends between treatment eras. Individual-l... read more 

Physicians' Perspectives on Predictive Uncertainty in Machine Learning Models.

Studies in health technology and informatics
We examined clinicians' perspectives on predictive uncertainty displayed alongside risk predictions using semi-structured interviews in a postoperative delirium dashboard prototype. While clinicians recognized the value of uncertainty information, th... read more 

Design and Early Evaluation of an Algorithmovigilance System.

Studies in health technology and informatics
Algorithmovigilance, the proactive and ongoing monitoring of AI systems, is essential for safe and effective AI use in healthcare. We describe the early deployment experiences and assessment of an AI monitoring and operations system and provide desig... read more 

Designing for Trust: Exploring User Perceptions of AI Transparency in Healthcare.

Studies in health technology and informatics
Transparency is frequently cited as a key ethical requirement for artificial intelligence (AI), yet its meaning remains ambiguous and often defined through a top-down technical or regulatory perspectives. The XpliCAI project adopts a user-centered pa... read more