Work Force

From Chatbot to Care Team: A Pilot Study of Generative Artificial Intelligence to Support Nurse-Pharmacist Collaboration and Patient Care in Telemedicine.

Background: Collaboration between nurse practitioners (NPs) and pharmacists is essential for comprehensive patient care, especially in telehealth settings where communication is often asynchronous. Generative artificial intelligence (AI) offers a novel tool to enhance interprofessional coordination and improve patient outcomes. Objective: To evaluate the impact of an AI-enabled NP-pharmacist colla...

Integrating Genomics, Collections, and Community Science to Delimit Species Clarifies the Taxonomy of a Variable Monitor Lizard (Varanus tristis).

The accurate characterization of species diversity is a vital prerequisite for ecological and evolutionary research, as well as conservation. Thus, it is necessary to generate robust hypotheses of species limits based on the inference of evolutionary processes. Integrative species delimitation, the inference of species limits based on multiple sources of evidence, can provide unique insight into s...

PRET is a few-shot system for pan-cancer recognition without example training.

Pathological examination stands as the cornerstone in cancer diagnosis, impacting millions worldwide annually. With the shortage of pathologists globa...

Longitudinal datasets of health app reviews for privacy and trust modeling.

We present Health App Reviews for Privacy & Trust (HARPT), a large-scale annotated corpus of user reviews from patient portal and telehealth applicati...

Protein and genomic language models uncover the unexplored diversity of bacterial immunity.

The bacterial pangenome contains a vast diversity of antiphage systems, whose overall extent is still unknown. In this study, we developed complementa...

Use of ambient AI scribe in physicians' clinical documentation: a protocol for a systematic review on effectiveness, efficiency, and satisfaction.

INTRODUCTION: Clinical documentation is a significant driver of burnout among physicians. Ambient artificial intelligence (AI) scribes, which leverage...

Hypergraph Foundation Model.

Hypergraph neural networks (HGNNs) effectively model complex high-order relationships in domains like protein interactions and social networks by conn...

Impact of an Ambient AI Scribe Among Clinicians and Patients: Real-World Prospective Observational Time-Motion Study.

BACKGROUND: Ambient artificial intelligence scribes are increasingly used to reduce clinician burnout and cognitive load, although their impact on doc...

The Impact of Data Consistency on Deep Learning Models for Nasopharyngeal Cancer Organ Auto-Segmentation.

PURPOSE: To investigate how annotation consistency influences deep learningbased auto-contouring performance for organs-at-risk (OARs) in nasopharynge...

Human vs. artificial intelligence in medical charting: a comparative study in the simulated emergency medicine context.

OBJECTIVES: The increasing administrative burden associated with electronic health records has contributed to reduced efficiency and rising burnout am...

[A smart way back to work-The impact of digital rehabilitation on return-to-work outcomes after hand injuries].

BACKGROUND: Restoring the ability to work after hand injuries is a central goal of rehabilitation. Digital therapy applications are increasingly findi...

Learning potential energy surfaces of hydrogen atom transfer reactions in peptides.

Hydrogen atom transfer (HAT) reactions are essential in many biological processes, such as radical migration in damaged proteins, but their mechanisti...

Whole Metagenomic Profiling Identifies a Gut Microbial Signature for Chronic Pancreatitis via Machine Learning.

BACKGROUND: Pancreatitis significantly alters the microbial composition of the oral and intestinal compartments, causing dysbiosis that may contribute...

3d elastic-modulus imaging using ultrasound linear arrays and efficient data-driven training strategies.

We are developing ultrasonic-based techniques for elastic modulus imaging throughout a tissue volume using the autoprogressive (AutoP) method with lin...

PEG-Modified Selenium Nanoparticles Dramatically Increases Antibody Binding Sites for Ultrasensitive Point-of-Care Detection of NT-proBNP.

Portable disease monitoring is made possible by point-of-care testing (POCT), which can help prevent clinical deterioration. The widespread adoption o...

Impact of an Immersive AI Simulation on Nursing Student Attitudes Toward Mental Illness.

There is simultaneously a global shortage of mental health professionals and a rising demand for mental health services. Nurses provide the largest sh...

Brain volumetric variability and artificial intelligence diagnosis: Importance of race/ethnicity-specific reference standards and social determinant adjustment. A scoping review.

Neuroimaging techniques such as magnetic resonance imaging (MRI) are routinely used in diagnostic radiology to evaluate brain changes associated with ...

Toward a Harmonized Definition of Digital Health Technologies for Use in Health Technology Assessment: A Scoping Review and Modified Delphi Consensus Study.

OBJECTIVES: The objectives of this study are to map definitions of digital health, eHealth, mHealth, telehealth, telemedicine, and artificial intellig...

Machine learning classification of normal and malignant cells on the basis of their viscoelastic properties.

BACKGROUND AND OBJECTIVE: Cell mechanics, elasticity and viscoelasticity, are key markers of biological states like cancer. Atomic force microscopy (A...

High-Resolution Colony Images of Clinically Isolated Bacteria for Automated Detection and Deep Learning.

The observation and analysis of colonies on solid media are key steps in microbiological research. However, traditional manual interpretation methods ...