State Required CME

Latest AI and machine learning research in state required cme for healthcare professionals.

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Machine learning enables legal risk assessment in internet healthcare using HIPAA data.

This study explores how artificial intelligence technologies can enhance the regulatory capacity for...

FedGAN: Federated diabetic retinopathy image generation.

Deep learning models for diagnostic applications require large amounts of sensitive patient data, ra...

MultiRepPI: a cross-modal feature fusion-based multiple characterization framework for plant peptide-protein interaction prediction.

Plant peptide-protein interactions (PepPI) play a crucial role in plant growth, development, immune ...

Multi robot exploration using an advanced multi-objective salp swarm algorithm for efficient coverage and performance.

This work introduces the Advanced Multi-Objective Salp Swarm Algorithm Exploration Technique (AMET),...

Using machine learning algorithms to predict risk factors of heart failure after complete mesocolic excision in colorectal cancer patients.

Following complete mesocolic excision (CME), heart failure (HF) emerges as a significant complicatio...

Early Alzheimer's Detection Through Voice Analysis: Harnessing Locally Deployable LLMs via , a privacy-preserving diagnostic system.

Diagnosing Alzheimer's Disease (AD) early and cost-effectively is crucial. Recent advancements in La...

Using Generative Artificial Intelligence in Health Economics and Outcomes Research: A Primer on Techniques and Breakthroughs.

The emergence of generative artificial intelligence (GenAI) offers the potential to enhance health e...

ChatGPT-4 Performance on German Continuing Medical Education-Friend or Foe (Trick or Treat)? Protocol for a Randomized Controlled Trial.

BACKGROUND: The increasing development and spread of artificial and assistive intelligence is openin...

Automated anonymization of radiology reports: comparison of publicly available natural language processing and large language models.

PURPOSE: Medical reports, governed by HIPAA regulations, contain personal health information (PHI), ...

For the busy clinical-imaging professional in an AI world: Gaining intuition about deep learning without math.

Medical diagnostics comprise recognizing patterns in images, tissue slides, and symptoms. Deep learn...

Performance of a Novel Muscle Synergy Approach for Continuous Motion Estimation on Untrained Motion.

When applying continuous motion estimation (CME) model based on sEMG to human-robot system, it is in...

Artificial intelligence in retinal screening using OCT images: A review of the last decade (2013-2023).

BACKGROUND AND OBJECTIVES: Optical coherence tomography (OCT) has ushered in a transformative era in...

New Diagnostic Tools for Pulmonary Embolism Detection.

The presentation of pulmonary embolism (PE) varies from asymptomatic to life-threatening, and manage...

Image annotation and curation in radiology: an overview for machine learning practitioners.

"Garbage in, garbage out" summarises well the importance of high-quality data in machine learning an...

Ethical Considerations of Artificial Intelligence in Health Care: Examining the Role of Generative Pretrained Transformer-4.

The integration of artificial intelligence technologies, such as large language models (LLMs), in he...

Federated Fuzzy Clustering for Decentralized Incomplete Longitudinal Behavioral Data.

The use of medical data for machine learning, including unsupervised methods such as clustering, is ...

Anti-photoaging effects of canola meal extract on human dermal fibroblasts against UVB-induced oxidative stress.

Canola meal, a by-product of canola oil processing, is a source of bioactive compounds that show ant...

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