Hospital-Based Medicine

Risk Management

Latest AI and machine learning research in risk management for healthcare professionals.

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Protocol for the design and accelerated optimization of a waste-to-energy system using AI tools.

Amid a surge in waste volume, the need to achieve sustainable waste treatment has become increasingl...

Facilitators and barriers to using AI-enabled robots with older adults in long-term care from staff perspective: a scoping review protocol.

INTRODUCTION: Assistive and service robots have been increasingly designed and deployed in long-term...

Deep Learning with Geometry-Enhanced Molecular Representation for Augmentation of Large-Scale Docking-Based Virtual Screening.

Structure-based virtual screening has been a crucial tool in drug discovery for decades. However, as...

Protocol to implement a computational pipeline for biomedical discovery based on a biomedical knowledge graph.

Biomedical knowledge graphs (BKGs) provide a new paradigm for managing abundant biomedical knowledge...

[Legal integration of artificial intelligence into internal medicine : Data protection, regulatory, reimbursement and liability questions].

Artificial intelligence (AI) opens up new opportunities to improve medical care in internal medicine...

A practical guide to machine-learning scoring for structure-based virtual screening.

Structure-based virtual screening (SBVS) via docking has been used to discover active molecules for ...

Measurement scales of mental health related to climate change: a scoping review protocol using artificial intelligence.

INTRODUCTION: Human actions have influenced climate changes around the globe, causing extreme weathe...

Cognitive modeling for understanding interactions between people and decision support tools in complex and uncertain environments: A study protocol.

BACKGROUND: Recent advances in Computational Intelligence Tools and the escalating need for decision...

A Shortened Model for Logan Reference Plot Implemented via the Self-Supervised Neural Network for Parametric PET Imaging.

Dynamic PET imaging provides superior physiological information than conventional static PET imaging...

Human-machine cooperation meta-model for clinical diagnosis by adaptation to human expert's diagnostic characteristics.

Artificial intelligence (AI) using deep learning approaches the capabilities of human experts in med...

Self-reporting with checklists in artificial intelligence research on medical imaging: a systematic review based on citations of CLAIM.

OBJECTIVE: To evaluate the usage of a well-known and widely adopted checklist, Checklist for Artific...

Protocol to analyze fundus images for multidimensional quality grading and real-time guidance using deep learning techniques.

Data quality issues have been acknowledged as one of the greatest obstacles in medical artificial in...

Using DeepContact with Amira graphical user interface.

DeepContact is a deep learning software for high-throughput quantification of membrane contact site ...

Automated stereological image analysis approach of the human placenta: Surface areas and vascularization.

Detecting and quantifying surface densities of placental villi and their vasculature adds important ...

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