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Martes 29 de septiembre de 2026 · 152 publicaciones en las últimas 24 h · 29 fuentes · actualizado hace 22 min

Noticias de inteligencia artificial y tecnología

Lo último en inteligencia artificial y tecnología según revistas científicas, autoridades sanitarias y prensa médica.

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RMChileRevista Médica de ChileRevista científicasin fecha

Impacto y proyecciones de la Inteligencia Artificial en las universidades y en la educación médica

El desarrollo de tecnologías de Inteligencia Artificial (IA) ha generado un impacto notable en las metodologías educativas, especialmente en la educación superior (ES). Por esto, se realiza una revisión narrativa de la literatura disponible. Su influencia se refleja en la docencia, la investigación, la…

Inteligencia artificial y tecnología

medRxivmedRxiv (preprints)PreprintENSin revisión por pares

Unmasking digital despair: A language model framework for predicting depression on social media

Depression is one of the most prevalent mental health disorders globally. Social media content can reflect emotional states, offering real-time signals of depressive symptoms. This study aimed to develop a deep learning model to predict depression using Twitter/X data, and to characterize potential causes of…

Salud mentalInteligencia artificial y tecnología

medRxivmedRxiv (preprints)PreprintENSin revisión por pares

A national-scale digital atlas of recorded care patterns across more than 1000 diagnostic categories using real-world health data: a retrospective observational study

BackgroundRoutinely collected health data can reveal recorded care around diagnosis, but disease-specific curation does not scale across thousands of conditions. We scaled a previously developed automated framework that reduces heterogeneous clinical events into standardised, diagnosis-centred summaries of real-world care patterns. MethodsIn this retrospective observational study…

Inteligencia artificial y tecnología

medRxivmedRxiv (preprints)PreprintENSin revisión por pares

Mind the gap: emergent clinical risk at the interface of two individually safe AI systems in a multilingual ambient scribe

ObjectivesTo determine whether single-layer evaluation characterises clinical risk in the final note of a multilingual ambient AI scribe, and where serious errors arise. DesignTwo-arm evaluation on one common clinical-risk scale, using a frozen, reference-aligned synthetic corpus. SettingScripted consultations spanning 77 languages and five complexity levels…

Inteligencia artificial y tecnología

medRxivmedRxiv (preprints)PreprintENSin revisión por pares

Integrated genomic meta-analysis identifies cell-type-specific signatures and targets in early Alzheimer's disease

Cellular mechanisms in early Alzheimers disease (AD) remain poorly understood despite generation of extensive observational multiomic data. Weighted integration across diverse datasets can prioritise convergent mechanisms and targets. We conducted a systematic review to identify datasets profiling cell-type-specific changes in early AD. We integrated multiomic…

NeurologíaInteligencia artificial y tecnología

medRxivmedRxiv (preprints)PreprintENSin revisión por pares

Assessment of Fairness and Bias of an Image-based Surgical Site Infection Detection AI Model

BackgroundEvaluating fairness in artificial intelligence (AI) is essential before clinical implementation to prevent unintended harm across diverse patient populations. This study assesses performance differences of an image-based surgical site infection (SSI) detection model across age, gender, geography, race, and skin color. MethodsModel development/validation study using…

Inteligencia artificial y tecnologíaInfectología y vacunas

medRxivmedRxiv (preprints)PreprintENSin revisión por pares

Schizophrenia-associated polygenic liability and structural genomic risk demonstrate broadly distributed neuropsychiatric associations in the All of Us Research Program

BackgroundSchizophrenia liability reflects both the aggregate effects of many common genetic variants and rare structural variation at recurrent neurodevelopmental copy-number variant (ND-CNV) loci. Although both components of genetic liability have been associated with schizophrenia and related phenotypes, it remains unclear whether they exhibit similar neuropsychiatric…

Salud mentalInteligencia artificial y tecnología

medRxivmedRxiv (preprints)PreprintENSin revisión por pares

Wastewater metagenomic sequencing enables broad pathogen and resistome monitoring in Lagos, Nigeria

Population-scale pathogen surveillance is limited worldwide, particularly in resource-constrained settings, where clinical systems only monitor select priority pathogens and reach only those who can access healthcare. Wastewater-based epidemiology addresses many of these gaps, offering cost-effective surveillance that is adaptable across diverse implementation contexts. In Lagos…

Inteligencia artificial y tecnología

PLOSPLOS MedicineRevista científicaEN

Multimodal protective and susceptibility clusters in paediatric atopic dermatitis: A machine learning-based, data-driven observational study

by Damir Zhakparov, Nonhlanhla Lunjani, Marco Schmid, Kathleen Moriarty, Damian Roquero, Anita Dreher, Jeannette I. Heldstab-Kast, Kari C. Nadeau, Cezmi Akdis, Michael Levin, Carol Hlela, Milena Sokolowska, Liam O’Mahony, Katja Baerenfaller Background Atopic dermatitis (AD) is a chronic inflammatory skin disease that typically develops in…

PediatríaInteligencia artificial y tecnología

PLOSPLOS MedicineRevista científicaEN

Effect of a digitally augmented general health promotion intervention on abstinence from health-risk behaviors among emergency department discharge patients: A randomized controlled trial

by Ho Cheung William Li, Wei Xia, Joanna Yeung, Laurie Long Kwan Ho, Tan Ankie Cheung, Kai Yeung Cheung, Yiu Cheung Chan, Wai Yee Chan, Chin Wai Lui, Hong Chen Background Noncommunicable diseases (NCDs) are the leading global cause of death and are driven by…

Inteligencia artificial y tecnología

FDAAdministración de Alimentos y Medicamentos (FDA)Autoridad sanitariaEN

FDA Seeks Public Feedback to Inform Regulatory Approach for Generative AI-Enabled Medical Devices

The U.S. Food and Drug Administration today issued a discussion paper on considerations for the regulation of generative artificial intelligence (GenAI)-enabled medical devices, seeking feedback from interested parties on risk assessment, premarket evaluation, postmarket monitoring, and other topics

Medicamentos y regulaciónInteligencia artificial y tecnología