Article

Achieving Inclusive Healthcare through Integrating Education and Research with AI and Personalized Curricula

2024-08-01

Abstract excerpt

<h4>Background:</h4> Precision medicine promises significant health benefits but faces challenges such as complex data management and analytics, interdisciplinary collaboration, and education of researchers, healthcare professionals, and participants. Addressing these needs requires the integration of computational experts, engineers, designers, and healthcare professionals to develop user-friendly systems and sh...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 24833ffd-b5c5-51f9-a68e-11187ffdf2f3
DOI: 10.1101/2024.07.31.24311182

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Achieving Inclusive Healthcare through Integrating Education and Research with AI and Personalized CurriculaDOI 10.1101/2024.07.31.24311182Read

Integrating Generative AI-Based Assistance Tool in Programming Education for Medical Students: A Cross-Sectional StudySemantic proximity Read

Conversational Artificial Intelligence for Translational Precision Medicine: Integrating Social Determinants of Health, Genomics, and Clinical Data with AI-HOPE-PMSemantic proximity Read

A Model to Introduce Medical Students to the Use of Artificial Intelligence and Genomics for Precision MedicineSemantic proximity Read

Onco-Shikshak: An AI-Native Adaptive Learning Ecosystem for Medical Oncology EducationSemantic proximity Read

Guidelines vs Generative AI in CKD Patient Education: The Role of Prompt Engineering and Expert Blinded EvaluationSemantic proximity Read

Building an AI-Powered Educational Tool for Exploring Microbial Relationships in Parkinson’s DiseaseSemantic proximity Read

Empowering Personalized Pharmacogenomics with Generative AI SolutionsSemantic proximity Read

Multi-Model Clinical Validation of an AI-Powered Biomarker Analysis Framework: A Cross-Vendor Benchmark on 4,018 NHANES PatientsSemantic proximity Read

Structured Clinical Documentation as Upstream Data Engineering: A Systematic Review of Ambient-AI and LLM-Driven Inputs for Predictive Modeling in HealthcareSemantic proximity Read

Explainable Artificial Intelligence in Precision Medicine: Methods, Applications, and ChallengesSemantic proximity Read

Teaching data science fundamentals through realistic synthetic clinical cardiovascular dataSemantic proximity Read

A framework for human-artificial intelligence co-learning for disease activity labeling using electronic health recordsSemantic proximity Read