State Required CME

Development of secure infrastructure for advancing generative artificial intelligence research in healthcare at an academic medical center.

BACKGROUND: Generative AI, particularly large language models (LLMs), holds great potential for impr...

FedMentalCare: Towards Privacy-Preserving Fine-Tuned LLMs to Analyze Mental Health Status Using Federated Learning Framework

With the increasing prevalence of mental health conditions worldwide, AI-powered chatbots and conv...

Implications of Artificial Intelligence on Health Data Privacy and Confidentiality

The rapid integration of artificial intelligence (AI) in healthcare is revolutionizing medical dia...

Prediction of Geoeffective CMEs Using SOHO Images and Deep Learning

The application of machine learning to the study of coronal mass ejections (CMEs) and their impact...

Profiling and Predicting Faculty Assessment Behavior in Surgical Education

To study and profile the digital assessment behaviors of surgical faculty and residents, and to buil...

Towards Inpatient Discharge Summary Automation via Large Language Models: A Multidimensional Evaluation with a HIPAA-Compliant Instance of GPT-4o and Clinical Expert Assessment

Large language models (LLMs) have demonstrated potential to automate clinical documentation tasks th...

Changes in psychiatric documentation and treatment in primary care with artificial intelligence scribe use

Despite increasingly widespread use of artificial intelligence-driven ambient scribes in medicine, t...

DermAssist: A Hybrid Vision Transformer System for Skin Lesion Diagnosis with Automated Alerting and Dual-Sided Portals

Skin cancer, one of the most prevalent forms of cancer globally, demands early and accurate diagnosi...

Large Language Models Improve Coding Accuracy and Reimbursement in a Neonatal Intensive Care Unit

Diagnosis coding is essential for clinical care, research validity, and hospital reimbursement. In n...

Evaluating Generative AI as an Educational Tool for Radiology Resident Report Drafting

Radiology residents require timely, personalized feedback to develop accurate image analysis and rep...

Prospective Evaluation of AI Risk Stratification for Triaging Expedited Screening Mammogram Interpretation

To prospectively evaluate the feasibility and performance of expedited screening mammogram interpret...

Are Explanations Helpful? A Comparative Analysis of Explainability Methods in Skin Lesion Classifiers

Deep Learning has shown outstanding results in computer vision tasks; healthcare is no exception. ...

HOPPR Medical-Grade Platform for Medical Imaging AI

Technological advances in artificial intelligence (AI) have enabled the development of large visio...

Data Obfuscation through Latent Space Projection (LSP) for Privacy-Preserving AI Governance: Case Studies in Medical Diagnosis and Finance Fraud Detection

As AI systems increasingly integrate into critical societal sectors, the demand for robust privacy...

GENEVIC: GENetic data Exploration and Visualization via Intelligent interactive Console.

SUMMARY: The vast generation of genetic data poses a significant challenge in efficiently uncovering...

Evaluation of GPT-4 ability to identify and generate patient instructions for actionable incidental radiology findings.

OBJECTIVES: To evaluate the proficiency of a HIPAA-compliant version of GPT-4 in identifying actiona...

Privacy Checklist: Privacy Violation Detection Grounding on Contextual Integrity Theory

Privacy research has attracted wide attention as individuals worry that their private data can be ...

AI Chatbots, Health Privacy, and Challenges to HIPAA Compliance.

Artificial Intelligence Competencies in Postgraduate Medical Training in Germany.

Routine medical care is to be transformed by the introduction of artificial intelligence (AI), requi...

AI technology for remote clinical assessment and monitoring.

OBJECTIVE: To report the clinical validation of an innovative, artificial intelligence (AI)-powered,...

A Preliminary Study of Predicting Effectiveness of Anti-VEGF Injection Using OCT Images Based on Deep Learning.

Deep learning based radiomics have made great progress such as CNN based diagnosis and U-Net based s...