Prevention of medical errors

Developing an explainable diagnosis system utilizing deep learning model: a case study of spontaneous pneumothorax.

The trend in the medical field is towards intelligent detection-based medical diagnostic systems. Ho...

Detecting outliers in case-control cohorts for improving deep learning networks on Schizophrenia prediction.

This study delves into the intricate genetic and clinical aspects of Schizophrenia, a complex mental...

The synergy of artificial intelligence and personalized medicine for the enhanced diagnosis, treatment, and prevention of disease.

INTRODUCTION: The completion of the Human Genome Project in 2003 marked the beginning of a transform...

[Medicine of the future: the role of artificial intelligence in optimizing nutrition for the health of the Russian population].

One of the most pressing medical, social and government tasks is to ensure health saving, improve th...

Near infrared spectroscopy (NIRS) and machine learning as a promising tandem for fast viral detection in serum microsamples: A preclinical proof of concept.

Fast detection of viral infections is a key factor in the strategy for the prevention of epidemics e...

CFINet: Cross-Modality MRI Feature Interaction Network for Pseudoprogression Prediction of Glioblastoma.

Pseudoprogression (PSP) is a related reaction of glioblastoma treatment, and misdiagnosis can lead t...

Multi-Omics Analysis by Machine Learning Identified Lysophosphatidic Acid as a Biomarker and Therapeutic Target for Porcine Reproductive and Respiratory Syndrome.

As a significant infectious disease in livestock, porcine reproductive and respiratory syndrome (PRR...

[Comment on "ScreenGPT - The opportunities and limitations of artificial intelligence in primary, secondary and tertiary prevention"].

EEG-based motor imagery channel selection and classification using hybrid optimization and two-tier deep learning.

Brain-computer interface (BCI) technology holds promise for individuals with profound motor impairme...

Evaluation of artificial intelligence-generated drug therapy communication skill competencies in medical education.

AIMS: This study compared three artificial intelligence (AI) platforms' potential to identify drug t...

HOTSPOT: An ad hoc teamwork platform for mixed human-robot teams.

Ad hoc teamwork is a research topic in multi-agent systems whereby an agent (the "ad hoc agent") mus...

Detection and Localization of Spine Disorders from Plain Radiography.

Spine disorders can cause severe functional limitations, including back pain, decreased pulmonary fu...

[Artificial intelligence (AI) in diagnostic and therapeutic decision-making-a tool or communication partner?].

Artificial intelligence (AI) is a tool that is only as good as its user. In the case of humanoid rob...

Integration of wearable devices and deep learning: New possibilities for health management and disease prevention.

In recent years, the market for wearable devices has been rapidly growing, with much of the demand f...

Insights Derived From Text-Based Digital Media, in Relation to Mental Health and Suicide Prevention, Using Data Analysis and Machine Learning: Systematic Review.

BACKGROUND: Text-based digital media platforms have revolutionized communication and information sha...

Biohybrid microrobots regulate colonic cytokines and the epithelium barrier in inflammatory bowel disease.

Cytokines have been identified as key contributors to the development of inflammatory bowel disease ...

Three autism subtypes based on single-subject gray matter network revealed by semi-supervised machine learning.

Autism spectrum disorder (ASD) is a heterogeneous, early-onset neurodevelopmental condition characte...

Special considerations for the use of AI tools by PEERs as a learning and communication aid.

There is no doubt that navigating academia is a formidable challenge, particularly for those from un...

Using machine learning models to plan HIV services: Emerging opportunities in design, implementation and evaluation.

HIV/AIDS remains one of the world's most significant public health and economic challenges, with app...

Identifying the risk of exercises, recommended by an artificial intelligence for patients with musculoskeletal disorders.

Musculoskeletal disorders (MSDs) impact people globally, cause occupational illness and reduce produ...

RAIN: machine learning-based identification for HIV-1 bNAbs.

Broadly neutralizing antibodies (bNAbs) are promising candidates for the treatment and prevention of...