Quantification via gaussian latent space representations

Neural Netw. 2026 Mar 22;201:108886. doi: 10.1016/j.neunet.2026.108886. Online ahead of print.ABSTRACTQuantification, or prevalence estimation, is the task of predicting the prevalence of each class within an unknown bag of examples. Most existing quantification methods in the literature rely on pri

An immobilization-free aptamer-based liquid sensing display for the label-free detection of illicit Δ9-tetrahydrocannabinol

This study presents an alternating-current electroluminescent (ACEL) aptasensing display for label-free, smartphone-based detection of Δ⁹-tetrahydrocannabinol (THC) in saliva. The sensor integrates a graphene oxide (GO) film with a THC-specific DNA aptamer via rapid π-π interactions, establishing an

Video-Based Gait Assessment Using Machine Learning to Classify Age and Sex in Low-Resource Settings: Cross-Sectional Study

JMIR Form Res. 2026 Mar 30;10:e76755. doi: 10.2196/76755.ABSTRACTBACKGROUND: Gait assessment is an important tool for evaluating health risks in older adults but remains underused in low-resource settings. We explored the feasibility of using a low-cost, simple walking protocol with smartphone video

Artificial Intelligence Tools for Automating Evidence Synthesis: Scoping Review

J Med Internet Res. 2026 Mar 30;28:e81597. doi: 10.2196/81597.ABSTRACTBACKGROUND: Rapidly and accurately synthesizing large volumes of evidence is a time- and resource-intensive process. Once published, reviews often risk becoming outdated, limiting their usefulness for decision makers. Recent advan

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

Anal Chem. 2026 Mar 30. doi: 10.1021/acs.analchem.6c00653. Online ahead of print.ABSTRACTPortable disease monitoring is made possible by point-of-care testing (POCT), which can help prevent clinical deterioration. The widespread adoption of POCT, however, is limited by a shortage of efficient labeli

Study of the Perceptions and Concerns of a Single Health System Hematology and Oncology Workforce About Artificial Intelligence in Clinical Practice and Medical Education

JCO Clin Cancer Inform. 2026 Mar;10:e2500296. doi: 10.1200/CCI-25-00296. Epub 2026 Mar 30.ABSTRACTPURPOSE: Artificial intelligence (AI) has been rapidly evolving in medicine. While there are existing data about the perceptions and concerns of health care workers regarding AI, those of the hematology

Development of Machine Learning Models for Predicting Prostate Cancer in Biopsy Candidates Using Prostate-Specific Antigen, Magnetic Resonance Imaging, and Hematologic Parameters

Prostate. 2026 Mar 30. doi: 10.1002/pros.70168. Online ahead of print.ABSTRACTINTRODUCTION: Prostate-specific antigen (PSA) alone is insufficient for the diagnosis of prostate cancer (PCa), particularly within the gray zone range of 4-10 ng/mL. Multiparametric magnetic resonance imaging (mpMRI), alt

Reimagining Nursing Theories in the Age of Artificial Intelligence: Preserving the Human Essence Amid Digital Transformation

Nurs Inq. 2026 Apr;33(2):e70099. doi: 10.1111/nin.70099.ABSTRACTThe exponential growth of artificial intelligence (AI) in healthcare has sparked both enthusiasm and apprehension within the nursing discipline. While AI promises to enhance clinical efficiency, accuracy, and decision-making, it simulta

Viewpoint on the Consequences and Mitigation of Cognitive Bias in the Radiological Interpretation of Breast Cancer Imaging Using Artificial Intelligence

JMIR Med Inform. 2026 Mar 30;14:e78955. doi: 10.2196/78955.ABSTRACTArtificial intelligence (AI) is increasingly integrated into breast imaging workflows, offering the potential to enhance diagnostic accuracy, efficiency, and early cancer detection. Image interpretation plays a pivotal role in the br

The Coordination on Mobile Pandemic Apps Best Practice and Solution Sharing (COMPASS) Framework: Holistic Approach to Pandemic mHealth Apps

JMIR Form Res. 2026 Mar 30;10:e63920. doi: 10.2196/63920.ABSTRACTThe COVID-19 pandemic has highlighted the crucial role of smartphone apps in public health, but it has also revealed challenges in terms of user acceptance and trust, as well as the secure integration of medical data. To overcome these

The Mediating Role of Artificial Intelligence Anxiety in The Effect of Nurses' Attitudes Toward Health Technologies on Their Readiness for Medical Artificial Intelligence

J Eval Clin Pract. 2026 Apr;32(3):e70421. doi: 10.1111/jep.70421.ABSTRACTAIM: This study aims to evaluate the mediating role of artificial intelligence (AI) anxiety in the effect of nurses' attitudes toward health technologies on their readiness for medical artificial intelligence (MAI).METHODS: A c

An AI-powered RAG Conversational Agent for Enhancing Patient Recall of Surgical Consultations: A Proof-of-concept Study

Aesthet Surg J. 2026 Mar 30:sjag065. doi: 10.1093/asj/sjag065. Online ahead of print.ABSTRACTBACKGROUND: Surgical consultations contain dense information that patients struggle to recall, and existing tools do not provide access to individualized clinical dialogue. Retrieval-Augmented Generation (RA

Artificial Intelligence-Enhanced Wound Care to Improve Access, Efficacy, and Equity in Wound Care for Older Adults in Rural and Remote Regions of Canada

JMIR Nurs. 2026 Mar 30;9:e85644. doi: 10.2196/85644.ABSTRACTWound care is an increasing global challenge, with older adults among those most affected. As populations age, the demand for effective and efficient wound care increases. Over the years, various wound assessment and care techniques have be

An Introduction to AI for Clinicians: Tutorial

Interact J Med Res. 2026 Mar 30;15:e85266. doi: 10.2196/85266.ABSTRACTArtificial intelligence (AI) is already fundamentally changing society, with medicine being no exception. AI will impact how we practice, how hospitals operate, and even the practice of medicine itself. The use of AI-based product

Generative artificial intelligence in medical scientific writing: Practical and ethical considerations

Arch Argent Pediatr. 2026 Apr 2:e202611022. doi: 10.5546/aap.2026-11022.eng. Online ahead of print.ABSTRACTGenerative artificial intelligence (AI) is transforming scientific communication in health, offering opportunities to improve the quality and efficiency of academic writing. This article provid

Adaptive AI for Cardiovascular Event Adjudication: Cardiovascular Event Adjudication Across Different Definitions in the ODYSSEY OUTCOMES and EUCLID Trials

Circulation. 2026 Mar 30. doi: 10.1161/CIRCULATIONAHA.126.080072. Online ahead of print.ABSTRACTBACKGROUND: Clinical endpoint classification (CEC) is the gold standard for cardiovascular endpoint measurement in clinical trials, but adds time and cost. We developed and validated an artificial intelli

Analyzing Misinformation and Disinformation: Understanding Swiss COVID-19 Narratives Through Natural Language Processing Analysis

JMIR Infodemiology. 2026 Mar 30;6:e76441. doi: 10.2196/76441.ABSTRACTBACKGROUND: The COVID-19 pandemic has highlighted the challenges posed by the rapid spread of misinformation and disinformation, exacerbating societal polarization and institutional distrust. Understanding how misinformation and di

Understanding human arm stiffness modulation in overground pHRI: The roles of kinematics, perturbation, and trunk sway

PLoS One. 2026 Mar 30;21(3):e0344748. doi: 10.1371/journal.pone.0344748. eCollection 2026.ABSTRACTThis study examines human arm kinematics during overground physical human-robot interaction (pHRI). Previous work showed humans adjust arm stiffness with changing trajectory uncertainty, but the roles o

Analytical framework for evaluating NMPC-based robot navigation in fluid environments

PLoS One. 2026 Mar 30;21(3):e0333056. doi: 10.1371/journal.pone.0333056. eCollection 2026.ABSTRACTThis paper presents a novel hybrid simulation framework by combining nonlinear model predictive control (NMPC) and the lattice Boltzmann method (LBM) for autonomous robot navigation in dynamic environme

Vibration-based bearing fault diagnosis in noisy conditions using matrix pencil mean frequency and multilayer perceptron neural networks

PLoS One. 2026 Mar 30;21(3):e0345870. doi: 10.1371/journal.pone.0345870. eCollection 2026.ABSTRACTBearings are critical elements in rotating machinery, where failures often accelerated by noise interference can cause severe economic and safety consequences. Reliable fault detection in noisy environm

A Generative AI-Based Framework for COVID-19 Screening from Cough Audio Signals

J Vis Exp. 2026 Mar 10;(229). doi: 10.3791/69874.ABSTRACTCough audio analysis provides a practical pathway for developing automated tools to support COVID-19 disease screening. Despite growing interest, many existing approaches remain sensitive to noise, class imbalance, and dataset variability, lim

Adaptive traffic signal control using deep reinforcement learning: Toward smarter and safer urban mobility

PLoS One. 2026 Mar 30;21(3):e0339207. doi: 10.1371/journal.pone.0339207. eCollection 2026.ABSTRACTIn today's rapidly evolving Intelligent Transportation Systems (ITS), traditional systems for controlling traffic signals are often inadequate in optimizing real-time traffic flow due to their dependenc

From reductionism to complex systems: Paradigm shift and knowledge evolution in competitive sports research using BERTopic

PLoS One. 2026 Mar 30;21(3):e0346022. doi: 10.1371/journal.pone.0346022. eCollection 2026.ABSTRACTBACKGROUND AND PURPOSE: With the exponential growth in the volume of competitive sports research, traditional bibliometric methods based on keyword co-occurrence struggle to accurately capture the field

When the source is a bot: How people adapt their evaluation strategies to assess AI-generated content

PLoS One. 2026 Mar 30;21(3):e0345300. doi: 10.1371/journal.pone.0345300. eCollection 2026.ABSTRACTGenerative artificial intelligence (GenAI) blurs the boundaries between expert and non-expert sources, as it increasingly distributes and creates scientific content. This study examines how individuals