Risk Management

Decentralized Health Intelligence Network (DHIN)

Decentralized Health Intelligence Network (DHIN) extends the Decentralized Intelligence Network (D...

A Neural Network-Based Scoring System for Predicting Prognosis and Therapy in Breast Cancer.

Breast cancer is a prevalent malignancy affecting women worldwide. Currently, there are no precise m...

A Cost-Effective Eye-Tracker for Early Detection of Mild Cognitive Impairment

This paper presents a low-cost eye-tracker aimed at carrying out tests based on a Visual Paired Co...

AI-based IsAb2.0 for antibody design.

Therapeutic antibody design has garnered widespread attention, highlighting its interdisciplinary im...

Decentralized Intelligence Network (DIN)

Decentralized Intelligence Network (DIN) is a theoretical framework designed to address challenges...

Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update.

To address the rapid evolution of artificial intelligence in medical imaging, the authors present th...

A comparison between Deep Learning architectures for the assessment of breast tumor segmentation using VSI ultrasound protocol.

Automatic breast tumor ultrasound segmentation is one of the most critical components in the develop...

Monitoring of Lung Ultrasound Acquisition using Infrared Sensors and Artificial Intelligence.

Lung diseases contribute significantly to global mortality rates. The conventional diagnostic techni...

Influence of Personality Traits on Plagiarism Through Collusion in Programming Assignments

Educating students about academic integrity expectations has been suggested as one of the ways to ...

scGrapHiC: deep learning-based graph deconvolution for Hi-C using single cell gene expression.

SUMMARY: Single-cell Hi-C (scHi-C) protocol helps identify cell-type-specific chromatin interactions...

A review on legal issues of medical robots.

This paper examines the legal challenges associated with medical robots, including their legal statu...

Deliberate Problem-solving with a Large Language Model as a Brainstorm Aid Using a Checklist for Prompt Generation.

Large language models (LLMs) use autoregression to generate text in response to queries. Crafting an...

AI for Detection of Tuberculosis: Implications for Global Health.

Tuberculosis, which primarily affects developing countries, remains a significant global health conc...

Understanding Liability Risk from Using Health Care Artificial Intelligence Tools.

Current Applications of Artificial Intelligence for Pediatric Dentistry: A Systematic Review and Meta-Analysis.

To systematically evaluate artificial intelligence applications for diagnostic and treatment planni...

Deep Learning for Predicting Gene Regulatory Networks: A Step-by-Step Protocol in R.

Deep learning has emerged as a powerful tool for solving complex problems, including reconstruction ...

Prospective Comparison of Standard and Deep Learning-reconstructed Turbo Spin-Echo MRI of the Shoulder.

Background Deep learning (DL)-based MRI reconstructions can reduce imaging times for turbo spin-echo...

Implementation of a robot-mediated upper limb rehabilitation protocol for a customized treatment after stroke: A retrospective analysis.

BACKGROUND: Many authors have emphasized the need for individualized treatments in rehabilitation, b...

Deep Learning-Based Cell Tracking in Deforming Organs and Moving Animals.

Cell tracking is an essential step in extracting cellular signals from moving cells, which is vital ...

Artificial intelligence in forensic medicine and related sciences - selected issues.

AIM: The aim of the work is to provide an overview of the potential application of artificial intell...

Neurosurgery, Explainable AI, and Legal Liability.

One of the challenges of AI technologies is its "black box" nature, or the lack of explainability an...