Phenotyping population-level chronic condition prevalence: The importance of forcing factors from the ecological framework

Public Health. 2026 Jul 1;258:106404. doi: 10.1016/j.puhe.2026.106404. Online ahead of print.ABSTRACTOBJECTIVE: The primary health challenges currently facing the United States (U.S.) and many other countries around the world are largely due to patients with chronic conditions, which act either inde

Multifactorial predictive model for nurses' intention to correct online health misinformation: A machine-learning and SHAP analysis

Public Health. 2026 Jul 1;258:106393. doi: 10.1016/j.puhe.2026.106393. Online ahead of print.ABSTRACTOBJECTIVES: To develop and interpret a predictive model that detects key factors associated with nurses' intention to rectify online health misinformation, and to offer an evidence foundation for tar

Generative morphodynamic forecasting enables robust zero-shot volumetric medical segmentation

Med Image Anal. 2026 Jun 29;113:104180. doi: 10.1016/j.media.2026.104180. Online ahead of print.ABSTRACTVideo foundation models show strong potential for interactive volumetric medical image parsing but can suffer from memory drift when applied directly to 3D medical volumes with severe, patient-spe

Will Artificial Intelligence and Digital Impressions Erode the Art of Clinical Intuition?

No abstractInt J Paediatr Dent. 2026 Jul 1. doi: 10.1111/ipd.70109. Online ahead of print.NO ABSTRACTPMID:42385214 | DOI:10.1111/ipd.70109

Artificial intelligence and knowledge translation in healthcare: a scoping review

Cien Saude Colet. 2026 May;31(5):e23892025. doi: 10.1590/1413-81232026315.23892025. Epub 2025 Dec 18.ABSTRACTThe use of artificial intelligence has been increasing in various fields, including healthcare. The present study aimed to investigate how artificial intelligence is used for knowledge transl

Use of artificial intelligence and environmental data to estimate respiratory hospitalizations in support of SUS management

Cien Saude Colet. 2026 May;31(5):e23522025. doi: 10.1590/1413-81232026315.23522025. Epub 2025 Dec 12.ABSTRACTThis study developed a predictive model of hospital admissions due to respiratory diseases using environmental and meteorological data from São Paulo (2017-2022). It analyzed hospitalizations

Predictive Models for Primary Health Care: assessing PCATool with Machine Learning in Rio de Janeiro, Brazil

Cien Saude Colet. 2026 May;31(5):e23492025. doi: 10.1590/1413-81232026315.23492025. Epub 2025 Dec 12.ABSTRACTThis study aimed to evaluate the predictive performance of machine learning algorithms in estimating PCATool, leveraging two datasets spanning 10 years. Participants were adults (≥18y) and ch

Can the Net Promoter Score predict the Primary Care Assessment Tool? A transfer learning approach

Cien Saude Colet. 2026 May;31(5):e23482025. doi: 10.1590/1413-81232026315.23482025. Epub 2025 Dec 12.ABSTRACTThis study aims to evaluate the viability of the NPS as a parsimonious predictor of the Primary Care Assessment Tool (PCAT). The data used in this study were obtained from a cross-sectional s

Artificial Intelligence with Convolutional Neural Networks for Microfilariae Detection in the Brazilian Amazon

Cien Saude Colet. 2026 May;31(5):e01372026. doi: 10.1590/1413-81232026315.01372026. Epub 2026 Jan 28.ABSTRACTThe Amazon region faces persistent structural limitations for the diagnosis of filarial diseases. This study aimed to develop and evaluate an artificial intelligence model based on convolutio

Adherence of Artificial Intelligence Models to Brazilian guidelines for obesity in Primary Health Care

Cien Saude Colet. 2026 May;31(5):e01132026. doi: 10.1590/1413-81232026315.01132026. Epub 2026 Jan 28.ABSTRACTObesity represents a growing challenge for Primary Health Care (PHC), demanding the use of new technologies and innovative solutions. This study evaluated the adherence of Large Language Mode

Prognostic impact of adenomyosis in cervical cancer: insights from machine learning-driven survival analysis

Rev Assoc Med Bras (1992). 2026 Jun 29;72(4):e20251656. doi: 10.1590/1806-9282.20251656. eCollection 2026.ABSTRACTOBJECTIVE: The aim of this study was to determine whether adenomyosis is an independent prognostic factor in cervical cancer using integrated survival analysis and machine-learning model

Feasibility of a generative AI chatbot to support breastfeeding in the Brazilian Unified National Health System

Cad Saude Publica. 2026 Jun 26;42:e00117825. doi: 10.1590/0102-311XEN117825. eCollection 2026.ABSTRACTThis exploratory feasibility study aimed to evaluate the usability, user experience, and preliminary impacts of a generative language model-based chatbot (Lhia 2.0) on maternal self-efficacy and att

An Explainable Deep Learning Framework Integrating DNA Sequence and Transcription Initiation Signals for Gene Expression Prediction

ACS Synth Biol. 2026 Jul 1. doi: 10.1021/acssynbio.6c00275. Online ahead of print.ABSTRACTGene expression is a fundamental process in cellular function and organismal phenotype formation, governed by intricate and finely tuned regulatory mechanisms. Deciphering the regulatory code of gene expression

Toward a global ecosystem for health professions education: harnessing open educational resources and generative AI with shared governance

Acad Med. 2026 Jul 1:wvag204. doi: 10.1093/acamed/wvag204. Online ahead of print.ABSTRACTThe global health workforce faces a projected shortage of more than 11 million health workers by 2030, with the most severe shortfalls in low- and middle-income countries (LMICs). Traditional training models are

Artificial Intelligence and Detection of Hirschsprung Disease

No abstractN Engl J Med. 2026 Jul 2;395(1):99-101. doi: 10.1056/NEJMc2401139.NO ABSTRACTPMID:42384878 | DOI:10.1056/NEJMc2401139

Dual-mode analysis of ischemic stroke based on urine SERS spectra and carotid B-ultrasound

Sci Adv. 2026 Jul 3;12(27):eaee3487. doi: 10.1126/sciadv.aee3487. Epub 2026 Jul 1.ABSTRACTAchieving noninvasive high-frequency monitoring of ischemic stroke (IS) remains a major clinical challenge for timely intervention and precise secondary prevention. Establishing precise correlations between pat

Toward autonomous robotic-assisted and microrobotic surgery

Sci Adv. 2026 Jul 3;12(27):eaec4197. doi: 10.1126/sciadv.aec4197. Epub 2026 Jul 1.ABSTRACTAutonomous robotic-assisted surgery (RAS) has emerged as a promising objective in biomedical technology, further enhanced by miniaturization toward microrobotic-assisted surgery (μ-RAS). This reduction in scale

Variations of global brain asymmetry are associated with aging and related diseases

Sci Adv. 2026 Jul 3;12(27):eadu9309. doi: 10.1126/sciadv.adu9309. Epub 2026 Jul 1.ABSTRACTLateralization is a hallmark of brain organization, yet the structural basis underlying this phenomenon remains a critical, unresolved question in cognitive and systems neuroscience. In this study, we applied m

Development and validation of the AI-predictive ParaScout In-Vitro Diagnostic (IVD) system for the microscopic detection of gastro-intestinal helminths in stool

Emerg Microbes Infect. 2026 Jul 1:2698240. doi: 10.1080/22221751.2026.2698240. Online ahead of print.ABSTRACTAbstractThe comprehensive method to detect gastrointestinal infections is still microscopic examination of stool specimens. However, manual microscopic examination is laborious, and its accur

Artificial Intelligence for Discovery in Life Sciences

Bioconjug Chem. 2026 Jul 1. doi: 10.1021/acs.bioconjchem.6c00230. Online ahead of print.ABSTRACTArtificial intelligence is becoming a transformative tool in life sciences, not just by improving the results of existing technologies but also by introducing fundamental new ways of discovery. Initially

10 recommendations for strengthening citizen science for improved societal and ecological outcomes: A co-produced analysis of challenges and opportunities in the 21st century

PLoS One. 2026 Jul 1;21(7):e0331161. doi: 10.1371/journal.pone.0331161. eCollection 2026.ABSTRACTCitizen science plays an increasingly important role in generating scientific knowledge and supporting environmental and social action. However, its potential to address complex global challenges remains

The Future of Glaucoma: Data, AI, and Precision Medicine for Patient-Centered Care

J Glaucoma. 2026 Jun 9. doi: 10.1097/IJG.0000000000002744. Online ahead of print.ABSTRACTPURPOSE: To summarize the main topics discussed during the 29th Annual Optic Nerve Rescue and Restoration Think Tank Meeting "THE FUTURE OF GLAUCOMA: HARNESSING DATA, AI, AND PRECISION MEDICINE FOR PATIENT-CENTE

Developing a natural language processing system using transformer-based models for adverse drug event detection in electronic health records

PLoS One. 2026 Jul 1;21(7):e0350516. doi: 10.1371/journal.pone.0350516. eCollection 2026.ABSTRACTOBJECTIVE: To develop a transformer-based natural language processing (NLP) system for detecting adverse drug events (ADEs) from clinical notes in electronic health records (EHRs).MATERIALS AND METHODS:

Combinatorial decision-making driven by multicomponent surface condensates

Proc Natl Acad Sci U S A. 2026 Jul 7;123(27):e2527873123. doi: 10.1073/pnas.2527873123. Epub 2026 Jul 1.ABSTRACTLiving organisms rely on molecular networks, such as gene circuits and signaling pathways, for information processing and robust decision-making in crowded, noisy environments. Recent adva