Surveillance

Artificial intelligence using a deep learning versus expert computed tomography human reading in calcium score and coronary artery calcium data and reporting system classification.

BACKGROUND: Artificial intelligence (AI) applied to cardiac imaging may provide improved processing,...

Strengths and limitations of new artificial intelligence tool for rare disease epidemiology.

The recent paper by Kariampuzha et al. describes an exciting application of artificial intelligence ...

Survey and Evaluation of Hypertension Machine Learning Research.

Background Machine learning (ML) is pervasive in all fields of research, from automating tasks to co...

PathologyBERT - Pre-trained Vs. A New Transformer Language Model for Pathology Domain.

Pathology text mining is a challenging task given the reporting variability and constant new finding...

Artificial intelligence innovation in healthcare: Relevance of reporting guidelines for clinical translation from bench to bedside.

Artificial intelligence (AI) and digital innovation are transforming healthcare. Technologies such a...

Using artificial intelligence to reduce orthopedic surgical site infection surveillance workload: Algorithm design, validation, and implementation in 4 Spanish hospitals.

BACKGROUND: Surgical site infection (SSI) surveillance is a labor-intensive endeavor. We present the...

Utilization of Bioinorganic Nanodrugs and Nanomaterials for the Control of Infectious Diseases Using Deep Learning.

As one of the main causes of morbidity and mortality, viral infections have a major impact on the we...

Potential Use Cases for ChatGPT in Radiology Reporting.

Large language models (LLMs) such as ChatGPT are advanced artificial intelligence models that are de...

Piloting an automated clinical trial eligibility surveillance and provider alert system based on artificial intelligence and standard data models.

BACKGROUND: To advance new therapies into clinical care, clinical trials must recruit enough partici...

Simulating complex patient populations with hierarchical learning effects to support methods development for post-market surveillance.

BACKGROUND: Validating new algorithms, such as methods to disentangle intrinsic treatment risk from ...

Addressing antibiotic resistance: computational answers to a biological problem?

The increasing prevalence of infections caused by antibiotic-resistant bacteria is a global healthca...

Systematic review finds "spin" practices and poor reporting standards in studies on machine learning-based prediction models.

OBJECTIVES: We evaluated the presence and frequency of spin practices and poor reporting standards i...

Sentiment analysis of clinical narratives: A scoping review.

A clinical sentiment is a judgment, thought or attitude promoted by an observation with respect to t...

Radar Human Activity Recognition with an Attention-Based Deep Learning Network.

Radar-based human activity recognition (HAR) provides a non-contact method for many scenarios, such ...

Beyond diagnosis: is there a role for radiomics in prostate cancer management?

The role of imaging in pretreatment staging and management of prostate cancer (PCa) is constantly ev...

AI: Workload Reduction by Autonomous Reporting of Normal Chest Radiographs.

Autonomous Chest Radiograph Reporting Using AI: Estimation of Clinical Impact.

Background Automated interpretation of normal chest radiographs could alleviate the workload of radi...

Urgent Combination of Robotic and MIDCAB Coronary Revascularization in a Morbidly Obese Patient.

In this article, we focus on the important role of robot-assisted coronary surgery by reporting the ...

Benchmarking framework for machine learning classification from fNIRS data.

BACKGROUND: While efforts to establish best practices with functional near infrared spectroscopy (fN...

A Fusion-Assisted Multi-Stream Deep Learning and ESO-Controlled Newton-Raphson-Based Feature Selection Approach for Human Gait Recognition.

The performance of human gait recognition (HGR) is affected by the partial obstruction of the human ...

Effect of a deep learning-based automatic upper GI endoscopic reporting system: a randomized crossover study (with video).

BACKGROUND AND AIMS: EGD is essential for GI disorders, and reports are pivotal to facilitating post...