Work Force

Application Value of Deep Learning-Based AI Model in the Classification of Breast Nodules.

Breast nodules are highly prevalent among women, and ultrasound is a widely used screening tool. However, single ultrasound examinations often result in high false-positive rates, leading to unnecessary biopsies. Artificial intelligence (AI) has demonstrated the potential to improve diagnostic accuracy, reducing misdiagnosis and minimising inter-observer variability. This study developed a deep l...

Highly specific virus-host linkages in mesothermophilic and circumneutral hot springs microbial communities.

Microbial communities in hot springs are distributed globally and have been extensively characterized regarding their diversity and composition. However, most studies have focused on cellular microbes, with relatively few addressing viruses, and even fewer examining virus-host ecology. Furthermore, research on viral communities and virus-host interactions has predominantly targeted extremely therm...

Summary Report of the SNMMI AI Task Force Radiomics Challenge 2024.

In medical imaging, challenges are competitions that aim to provide a fair comparison of different methodologic solutions to a common problem. Challen...

Reflections on the Cloak of Convenience.

A key maxim guiding the introduction of new technologies, including those utilizing artificial intelligence, is that such technologies should carry re...

Distribution Learning Based on Evolutionary Algorithm-Assisted Deep Neural Networks for Imbalanced Image Classification.

Imbalanced image classification faces critical challenges in balancing the quality and diversity of synthetic minority samples. This article proposes ...

Where Can Artificial Intelligence Assist Cancer Care?: Examining Patient-Centered Communication Dimension Effects.

OBJECTIVE: To explore how aspects of patient-centered communication (PCC) may directly or indirectly predict patients' preferences for artificial inte...

Deep learning-based applicator selection between Syed and T&O in high-dose-rate brachytherapy for locally advanced cervical cancer: a retrospective study.

High-dose-rate (HDR) brachytherapy is integral to the standard-of-care for locally advanced cervical cancer (LACC). Currently, selection of brachyther...

Harnessing vaginal inflammation and microbiome: a machine learning model for predicting IVF success.

Humans are the only species with a commensal Lactobacillus-dominant vaginal microbiota. Reproductive tract microbes have been linked to fertility outc...

Gender and Ethnicity Bias of Text-to-Image Generative Artificial Intelligence in Medical Imaging, Part 2: Analysis of DALL-E 3.

Disparity among gender and ethnicity remains an issue across medicine and health science. Only 26%-35% of trainee radiologists are female, despite mor...

Integrating Nurse Preferences Into AI-Based Scheduling Systems: Qualitative Study.

BACKGROUND: Nurse scheduling is a complex challenge in health care, impacting both patient care quality and nurse well-being. Traditional scheduling m...

Prediction of Job Burnout in Nurses Based on the Job Demands-Resources Model: An Explainable Machine Learning Approach.

AIM: To combine the Job Demand-Resource (JD-R) model with machine learning (ML) techniques to identify the key factors affecting job burnout (JB) amon...

Concept transfer of synaptic diversity from biological to artificial neural networks.

Recent developments in artificial neural networks have drawn inspiration from biological neural networks, leveraging the concept of the artificial neu...

Consumption quota compilation based on BP artificial neural network algorithm in mechanical and electrical installation engineering of prefabricated buildings.

The traditional quota compilation method has a large workload and requires a lot of manpower and material resources, making it difficult to apply to t...

AI-Enhanced Rural Medical Education: Bridging Gaps and Building Trust.

Persistent geographic and specialty-based disparities in health care workforce distribution have created critical gaps in rural health care access, re...

Advancing Musculoskeletal Care Using AI and Digital Health Applications: A Review of Commercial Solutions.

Artificial intelligence (AI) and digital health (DH) solutions are reshaping musculoskeletal (MSK) care across diagnostics, treatment planning, workfl...

Reversible molecular simulation for training classical and machine-learning force fields.

The next generation of force fields for molecular dynamics will be developed using a wealth of data. Training systematically with experimental data re...

Impact of generative artificial intelligence on the professional qualities curriculum and reflection essays during physician training.

The professional development curriculum is a vital component in physician training and is important for helping trainees develop as competent and refl...

Genomic advancements in goat breeding: enhancing productivity, disease resistance, and sustainability in India's rural economy.

Goats are vital to the rural economy of India, contributing significantly to livelihoods, nutrition, and agricultural sustainability. With a populatio...

A systematic review and meta-analysis of artificial intelligence software for tuberculosis diagnosis using chest X-ray imaging.

BACKGROUND: Pulmonary tuberculosis (PTB) remains a global public health challenge, with 10.8 million new cases reported in 2023. Early diagnosis is cr...

Diversity of U1 Small Nuclear RNAs and Diagnostic Methods for Their Mutations.

U1 small nuclear RNA (snRNA) mutations are recurrent non-coding alterations found in various malignancies, yet their identification has proven challen...