Risk Management

The Artificial Intelligence Doctor: Considerations for the Clinical Implementation of Ethical AI.

The applications of artificial intelligence (AI) and machine learning (ML) in modern medicine are gr...

Checklist for Evaluation of Image-Based Artificial Intelligence Reports in Dermatology: CLEAR Derm Consensus Guidelines From the International Skin Imaging Collaboration Artificial Intelligence Working Group.

IMPORTANCE: The use of artificial intelligence (AI) is accelerating in all aspects of medicine and h...

Demystifying Medico-legal Challenges of Artificial Intelligence Applications in Molecular Imaging and Therapy.

Artificial Intelligence (AI) has been rapidly embraced by imaging fields and offers a variety of ben...

Comparison of concordance between chuna manual therapy diagnosis methods (palpation, X-ray, artificial intelligence program) in lumbar spine: An exploratory, cross-sectional, prospective observational study protocol.

INTRODUCTION: Chuna manual therapy (CMT) is a type of manual medicine practiced by Korean medical do...

Accuracy of ultrasonic artificial intelligence in diagnosing benign and malignant breast diseases: A protocol for systematic review and meta-analysis.

BACKGROUND: Artificial intelligence system is a deep learning system based on computer-assisted ultr...

Applying a Common Enterprise Theory of Liability to Clinical AI Systems.

The advent of artificial intelligence ("AI") holds great potential to improve clinical diagnostics. ...

The difficult role of Artificial Intelligence in Medical Liability: to err is not only human.

The entrance of Artificial Intelligence (AI) as a new actor in the doctor-patient relationship has e...

Deep Learning-Based Segmentation and Uncertainty Assessment for Automated Analysis of Myocardial Perfusion MRI Datasets Using Patch-Level Training and Advanced Data Augmentation.

In this work, we develop a patch-level training approach and a task-driven intensity-based augmentat...

A CNN and LSTM Network for Eye-Blink Classification from MRI Scanner Monitoring Videos.

Eye closure changes brain activity, so eye-blink tracking of subjects undergoing resting-state funct...

Clinical effect and standardization of indocyanine green angiography in the laparoscopic colorectal surgery.

Anastomotic complications occur after 5% to 20% of operations for rectosigmoid colon cancer. The int...

Machine learning on ligand-residue interaction profiles to significantly improve binding affinity prediction.

Structure-based virtual screenings (SBVSs) play an important role in drug discovery projects. Howeve...

Histograms of Frequency-Intensity Distribution Deep Learning to Predict the Seizure Liability of Drugs in Electroencephalography.

Detection of seizures as well as that of seizure auras is effective in improving the predictive accu...

Review of study reporting guidelines for clinical studies using artificial intelligence in healthcare.

High-quality research is essential in guiding evidence-based care, and should be reported in a way t...

PharmGKB, an Integrated Resource of Pharmacogenomic Knowledge.

The Pharmacogenomics Knowledgebase (PharmGKB) is an integrated online knowledge resource for the und...

Public vs physician views of liability for artificial intelligence in health care.

The growing use of artificial intelligence (AI) in health care has raised questions about who should...

Editorial: Designing a Protocol Adopting an Artificial Intelligence (AI)-Driven Approach for Early Diagnosis of Late-Onset Alzheimer's Disease.

AI-based spectroscopic monitoring of real-time interactions between SARS-CoV-2 and human ACE2.

The novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), invades a human...

Developing a standardized protocol for computational sentiment analysis research using health-related social media data.

OBJECTIVE: Sentiment analysis is a popular tool for analyzing health-related social media content. H...

Robotic-Assisted Surgery Training (RAST) Program: An Educational Research Protocol.

Technology has had a dramatic impact on how diseases are diagnosed and treated. Although cut, sew, a...

Deep learning applied to lung ultrasound videos for scoring COVID-19 patients: A multicenter study.

In the current pandemic, lung ultrasound (LUS) played a useful role in evaluating patients affected ...

ARTIFICIAL INTELLIGENCE IN MEDICAL DEVICES: PAST, PRESENT AND FUTURE.

Artificial Intelligence (AI) has been drawing attention in the field of medical devices. However, du...