Staffing & Scheduling

Multiple Instance Learning for the Detection of Lymph Node and Omental Metastases in Carcinoma of the Ovaries, Fallopian Tubes and Peritoneum.

: Surgical pathology of tubo-ovarian and peritoneal cancer carries a well-recognised diagnostic work...

Advancing breast, lung and prostate cancer research with federated learning. A systematic review.

Federated learning (FL) is advancing cancer research by enabling privacy-preserving collaborative tr...

A synthetic data-driven machine learning approach for athlete performance attenuation prediction.

INTRODUCTION: Athlete performance monitoring is effective for optimizing training strategies and pre...

Deep learning to promote health through sports and physical training.

BACKGROUND: Physical activity plays a crucial role in maintaining health and preventing chronic dise...

Evaluating artificial intelligence bias in nephrology: the role of diversity, equity, and inclusion in AI-driven decision-making and ethical regulation.

BACKGROUND: The integration of Artificial Intelligence (AI) in nephrology has raised concerns regard...

A new dataset for measuring the performance of blood vessel segmentation methods under distribution shifts.

Creating a dataset for training supervised machine learning algorithms can be a demanding task. This...

Navigating the artificial intelligence (AI) era: a paradigm shift in clinical surgical education.

Promises and perils of generative artificial intelligence: a narrative review informing its ethical and practical applications in clinical exercise physiology.

Generative Artificial Intelligence (GenAI) is transforming various sectors, including healthcare, of...

Training a deep learning model to predict the anatomy irradiated in fluoroscopic x-ray images.

PURPOSE: Accurate patient dosimetry estimates from fluoroscopically-guided interventions (FGIs) are ...

Optimizing MRI sequence classification performance: insights from domain shift analysis.

BACKGROUND: MRI sequence classification becomes challenging in multicenter studies due to variabilit...

AI powered blockchain framework for predictive temperature control in smart homes using wireless sensor networks and time shifted analysis.

In the context of smart homes, efficiently managing temperature control while optimizing energy cons...

Commercial Products Using Generative Artificial Intelligence Include Ambient Scribes, Automated Documentation and Scheduling, Revenue Cycle Management, Patient Engagement and Education, and Prior Authorization Platforms.

The integration of artificial intelligence into clinical practice is rapidly transforming health car...

Towards better text image machine translation with multimodal codebook and multi-stage training.

As a widely-used machine translation task, text image machine translation (TIMT) aims to translate t...

Incorporating Pre-Training Data Matters in Unsupervised Domain Adaptation.

In deep learning, initializing models with pre-trained weights has become the de facto practice for ...

Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates.

Machine-learning models demand periodic updates to improve their average accuracy, exploiting novel ...

Shining the Beam on the Next Generation: A Program Evaluation of a National Workshop Focusing on Medical Student Engagement in Radiation Oncology.

The rising cancer incidence has increased demand for radiation oncologists, surpassing current staff...

Generative AI and digital twins: shaping a paradigm shift from precision to truly personalized medicine.

Reinforced liquid state machines-new training strategies for spiking neural networks based on reinforcements.

INTRODUCTION: Feedback and reinforcement signals in the brain act as natures sophisticated teaching ...

Benchmarking molecular conformer augmentation with context-enriched training: graph-based transformer versus GNN models.

The field of molecular representation has witnessed a shift towards models trained on molecular stru...

A demand-centered scheduling framework for shared supercomputing resources: modeling, metrics, and case insights.

The exponential growth of artificial intelligence and data-intensive applications has led to a signi...

Effectiveness and Methodologies of Virtual Reality Dental Simulators for Veneer Tooth Preparation Training: Randomized Controlled Trial.

BACKGROUND: Virtual reality (VR) simulators are increasingly used in dental education, offering adva...