Prevention of medical errors

The Application of Artificial Intelligence in Digital Physical Activity and Falls Prevention Interventions for Older Adults.

This article discusses the practical applications of artificial intelligence in digital physical activity and falls prevention interventions for older adults. It notes the range of technologies that can be used to collect digital datasets on older adult health and how machine learning algorithms can be applied to these to improve our understanding of physical activity and falls. In particular, the...

Deep Learning on Bone Scintigraphy to Detect Abnormal Cardiac Uptake at Risk of Cardiac Amyloidosis.

BACKGROUND: Cardiac uptake on technetium-99m whole-body scintigraphy (WBS) is almost pathognomonic of transthyretin cardiac amyloidosis. The rare false positives are often related to light-chain cardiac amyloidosis. However, this scintigraphic feature remains largely unknown, leading to misdiagnosis despite characteristic images. A retrospective review of all WBSs in a hospital database to detect ...

Artificial intelligence in communication impacts language and social relationships.

Artificial intelligence (AI) is already widely used in daily communication, but despite concerns about AI's negative effects on society the social con...

ChatGPT applications in medical, dental, pharmacy, and public health education: A descriptive study highlighting the advantages and limitations.

Since its public release in November 2022, ChatGPT has gained a widespread attention and received mixed responses in the academia. Promising applicati...

The value of artificial intelligence in the diagnosis of lung cancer: A systematic review and meta-analysis.

Lung cancer is a common malignant tumor disease with high clinical disability and death rates. Currently, lung cancer diagnosis mainly relies on manua...

The use of smart environments and robots for infection prevention control: A systematic literature review.

BACKGROUND: Infection prevention and control (IPC) is essential to prevent nosocomial infections. This manuscript aims at investigating the current us...

Deep learning-based classification of adequate sonographic images for self-diagnosing deep vein thrombosis.

BACKGROUND: Pulmonary thromboembolism is a serious disease that often occurs in disaster victims evacuated to shelters. Deep vein thrombosis is the mo...

Research on Supply Chain Financial Risk Prevention Based on Machine Learning.

Artificial intelligence (AI) proves decisive in today's rapidly developing society and is a motive force for the evolution of financial technology. As...

Effect of multimodal comprehensive communication skills training with video analysis by artificial intelligence for physicians on acute geriatric care: a mixed-methods study.

OBJECTIVES: To quantitatively analyse by artificial intelligence (AI) the communication skills of physicians in an acute care hospital for geriatric c...

An Intelligent Channel Estimation Algorithm Based on Extended Model for 5G-V2X.

Car networking systems based on 5G-V2X (vehicle-to-everything) have high requirements for reliability and low-latency communication to further improve...

Spinal disease diagnosis assistant based on MRI images using deep transfer learning methods.

INTRODUCTION: In light of the potential problems of missed diagnosis and misdiagnosis in the diagnosis of spinal diseases caused by experience differe...

Being ostensive (reply to commentaries on "Expression unleashed").

One of our main goals with "Expression unleashed" was to highlight the distinctive, ostensive nature of human communication, and the many roles that o...

scTenifoldXct: A semi-supervised method for predicting cell-cell interactions and mapping cellular communication graphs.

We present scTenifoldXct, a semi-supervised computational tool for detecting ligand-receptor (LR)-mediated cell-cell interactions and mapping cellular...

Evaluation of the portability of computable phenotypes with natural language processing in the eMERGE network.

The electronic Medical Records and Genomics (eMERGE) Network assessed the feasibility of deploying portable phenotype rule-based algorithms with natur...

Using Haplotype-Based Artificial Intelligence to Evaluate SARS-CoV-2 Novel Variants and Mutations.

IMPORTANCE: Earlier detection of emerging novel SARS-COV-2 variants is important for public health surveillance of potential viral threats and for ear...

IoMT-Enabled Computer-Aided Diagnosis of Pulmonary Embolism from Computed Tomography Scans Using Deep Learning.

The Internet of Medical Things (IoMT) has revolutionized Ambient Assisted Living (AAL) by interconnecting smart medical devices. These devices generat...

An intelligent medical guidance and recommendation model driven by patient-physician communication data.

Based on the online patient-physician communication data, this study used natural language processing and machine learning algorithm to construct a me...

[Digitalization in healthcare: today and in the future].

Although Germany continues to struggle with the digital transformation of healthcare, there is reason for optimism. The political will to improve heal...

Application of Natural Language Processing (NLP) in Detecting and Preventing Suicide Ideation: A Systematic Review.

(1) Introduction: Around a million people are reported to die by suicide every year, and due to the stigma associated with the nature of the death, th...

Transfer learning-based ensemble convolutional neural network for accelerated diagnosis of foot fractures.

The complex shape of the foot, consisting of 26 bones, variable ligaments, tendons, and muscles leads to misdiagnosis of foot fractures. Despite the i...