Work Force

Cervical cancer cell prediction and detection with high test accuracy based on a reliable automated system.

Cervical cancer ranks as the fourth most prevalent cancer among women worldwide. The increasing incidence and mortality rates are largely attributed to limited screening infrastructure, a shortage of skilled medical personnel, and inadequate awareness-particularly in developing nations. Conventional diagnostic methods, including the Pap smear, HPV testing, histopathology, and visual inspection wit...

Human-AI interaction and collaboration in radiology: from conceptual frameworks to responsible implementation.

Artificial intelligence (AI) is entering routine radiology practice, but most studies evaluate algorithms in isolation rather than their interaction with radiologists in clinical workflows. This narrative review summarizes current knowledge on human-AI interaction in radiology and highlights practical risks and opportunities for clinical teams. First, simple conceptual models of human-AI collabora...

[Diagnosis and treatment of colorectal cancer in the era of artificial intelligence: review and prospect].

In recent years, artificial intelligence (AI) has achieved groundbreaking progress in the field of medicine, particularly in the diagnosis and treatme...

Multi-scale drivers of spontaneous plant diversity in urban residential green spaces across dispersal modes: Implications for ecological planning.

Residential green spaces (RGSs) are ubiquitous elements of the urban fabric and can function as low-maintenance, nature-based solutions that reconnect...

Recovery of expected salary estimated by facial emotion scores against computer-based landscape data.

The perceived recovery of expected salary (RES) matters for work efficacy at a given amount of wage investment. A total of 31 industrial parks (IPs) w...

Revealing the hidden patterns of shark and ray diversity over the past 145 million years.

Neoselachians (a monophyletic group including modern sharks, rays, and skates and their extinct relatives)1,2 have an extensive fossil record and a lo...

Self-driving bioprinting laboratories.

The severe shortage of donor organs and limitations of current disease models highlight the urgent need for transformative strategies in tissue engine...

The effect of AI-assisted bedside echocardiography on inpatient care: a prospective trial.

AIMS: Focused cardiac ultrasound (FoCUS) can yield valuable information for decision-making. However, it is limited by the skills required to acquire ...

Divergent creativity in humans and large language models.

The recent surge of Large Language Models (LLMs) has led to claims that they are approaching a level of creativity akin to human capabilities. This id...

Towards robust deep learning-based autosegmentation in MRI-planned gynecological brachytherapy: Importance of scalable development and comprehensive evaluation.

PURPOSE: To present comprehensive development and evaluation methodologies for a generalizable deep learning (DL)-driven autocontouring model of stand...

Program Theory and Core Outcome Set Development for a Technology-Assisted Counseling Intervention in Dementia: Multimethods Study.

BACKGROUND: Counseling in family dementia care aims to support caregivers in mastering challenges. The use of information and communication technologi...

How human-perceived urban green spaces contribute to mental well-being: a machine learning approach.

Global urbanization has heightened attention to urban green spaces (UGS) and their role in supporting mental well-being (MWB). While macro-scale lands...

Radiologist burnout: AI's true black box.

Multiple articles have touted the longitudinal promise of artificial intelligence (AI) in radiology, including projections of streamlining repetitive ...

Towards contrast- and pathology-agnostic clinical fetal brain MRI segmentation using SynthSeg.

Magnetic resonance imaging (MRI) has played a crucial role in fetal neurodevelopmental research. Structural annotations of MR images are an important ...

Exploration of Mental Health and Stress Among Nursing Interns Through a Chatbot: A Single-Group Pilot Study.

BACKGROUND: Nursing interns face early clinical distress; chatbot-based mental health tools show promise, although evidence of their feasibility and e...

Complex Interactions Between Stress, Nutrition, Gut Microbiota, and Infectious Diseases and Their Impact on Health in Global Conflicts: A Narrative Review.

Following the global recovery from the COVID-19 pandemic, wars and conflicts have escalated to levels unseen since the Cold War. It is well known that...

Characterizing RNA Tetramer Conformational Landscape Using Explainable Machine Learning.

The conformational flexibility of RNA molecules enables them to play vital physiological roles, including carrying genetic information, catalyzing rea...

A Novel Hybrid Model Based on GAN and Stacking for Improving Minority Class Detection in an Imbalanced Dataset of Endotracheal Tubes Position Errors.

Endotracheal tube (ETT) abnormal positioning diagnosis based on chest X-ray images can lead to errors, such as misclassifying malpositioned tubes as n...

Chronic stress raises baseline circulating corticosterone and reduces vocal plasticity in male budgerigars, an avian model for adult vocal learning.

Chronic stress affects cognitive function across many domains, including memory, decision making and learning. While the effects of early-life stress ...

BanglaMUSE: A multimodal Bangla sentiment dataset of text-audio pairs for speech and sentiment analysis.

This article describes a publicly available multimodal Bangla sentiment dataset designed to support research in speech processing, sentiment analysis,...