AIMC Topic: Philadelphia
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Exploring the social life of urban spaces through AI.
Proceedings of the National Academy of Sciences of the United States of America
Jul 24, 2025
We analyze changes in pedestrian behavior over a 30-y period in four urban public spaces located in New York, Boston, and Philadelphia. Building on William Whyte's observational work, which involved manual video analysis of pedestrian behaviors, we e...
Clinician Experiences With Ambient Scribe Technology to Assist With Documentation Burden and Efficiency.
JAMA network open
Feb 3, 2025
IMPORTANCE: Timely evaluation of ambient scribing technology is warranted to assess whether this technology can lessen the burden of clinical documentation on clinicians.
Charting a Path to the Quintuple Aim: Harnessing AI to Address Social Determinants of Health.
International journal of environmental research and public health
May 31, 2024
The Quintuple Aim seeks to improve healthcare by addressing social determinants of health (SDOHs), which are responsible for 70-80% of medical outcomes. SDOH-related concerns have traditionally been addressed through referrals to social workers and c...
Assessing alternative methods for unsupervised segmentation of urban vegetation in very high-resolution multispectral aerial imagery.
PloS one
May 7, 2020
To analyze types and patterns of greening trends across a city, this study seeks to identify a method of creating very high-resolution urban vegetation maps that scales over space and time. Vegetation poses unique challenges for image segmentation be...
Deep Learning Based on MR Imaging for Predicting Outcome of Uterine Fibroid Embolization.
Journal of vascular and interventional radiology : JVIR
May 4, 2020
PURPOSE: To develop and validate a deep learning model based on routine magnetic resonance (MR) imaging obtained before uterine fibroid embolization to predict procedure outcome.
Observer Variation
Philadelphia
Leiomyoma
Uterine Artery Embolization
Magnetic Resonance Imaging
Predictive Value of Tests
Uterine Neoplasms
Image Interpretation, Computer-Assisted
Clinical Decision-Making
Female
Reproducibility of Results
Aged
Diagnosis, Computer-Assisted
Deep Learning
Treatment Outcome
Adult
Middle Aged
Humans
Retrospective Studies
Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT.
Radiology
Apr 27, 2020
Background Coronavirus disease 2019 (COVID-19) and pneumonia of other diseases share similar CT characteristics, which contributes to the challenges in differentiating them with high accuracy. Purpose To establish and evaluate an artificial intellige...
Humans
Artificial Intelligence
Retrospective Studies
Tomography, X-Ray Computed
Betacoronavirus
Female
Pneumonia, Viral
Pandemics
Coronavirus Infections
Infant
COVID-19
Radiography, Thoracic
Lung
Philadelphia
China
Rhode Island
Adolescent
Diagnosis, Differential
Young Adult
Child, Preschool
Infant, Newborn
Sensitivity and Specificity
Pneumonia
Adult
Child
SARS-CoV-2
Male
Radiologists
Aged
Aged, 80 and over
Middle Aged
Alcohol outlets and firearm violence: a place-based case-control study using satellite imagery and machine learning.
Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention
Aug 29, 2019
INTRODUCTION: This article proposes a novel method for matching places based on visual similarity, using high-resolution satellite imagery and machine learning. This approach strengthens comparisons when the built environment is a potential confounde...
Association of Reduced Nicotine Content Cigarettes With Smoking Behaviors and Biomarkers of Exposure Among Slow and Fast Nicotine Metabolizers: A Nonrandomized Clinical Trial.
JAMA network open
Aug 24, 2018
IMPORTANCE: The US Food and Drug Administration (FDA) has announced its intention to reduce the nicotine content in combustible cigarettes but must base regulation on public health benefits. Fast nicotine metabolizers may be at risk for increased smo...
Prediction of Adolescent Suicide Attempt by Integrating Clinical, Neurocognitive and Geocoded Neighborhood Environment Data.
Schizophrenia bulletin
Jul 7, 2025
BACKGROUND AND HYPOTHESIS: Suicide attempt is a complex behavior influenced by a combination of factors including clinical, neurocognitive, and environmental. We aimed to leverage multimodal data collected during pre/early adolescence in research set...
Automated cooling tower detection through deep learning for Legionnaires' disease outbreak investigations: a model development and validation study.
The Lancet. Digital health
Jul 1, 2024
BACKGROUND: Cooling towers containing Legionella spp are a high-risk source of Legionnaires' disease outbreaks. Manually locating cooling towers from aerial imagery during outbreak investigations requires expertise, is labour intensive, and can be pr...
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