AIMC Topic: United States
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A deep learning method to detect opioid prescription and opioid use disorder from electronic health records.
International journal of medical informatics
Dec 31, 2022
OBJECTIVE: As the opioid epidemic continues across the United States, methods are needed to accurately and quickly identify patients at risk for opioid use disorder (OUD). The purpose of this study is to develop two predictive algorithms: one to pred...
The uncovered biases and errors in clinical determination of bone age by using deep learning models.
European radiology
Dec 20, 2022
OBJECTIVES: To evaluate AI biases and errors in estimating bone age (BA) by comparing AI and radiologists' clinical determinations of BA.
Factors contributing to the utilization of robotic colorectal surgery: a systematic review and meta-analysis.
Surgical endoscopy
Dec 15, 2022
BACKGROUND: Some studies have suggested disparities in access to robotic colorectal surgery, however, it is unclear which factors are most meaningful in the determination of approach relative to laparoscopic or open surgery. This study aimed to ident...
Analyzing factors contributing to COVID-19 mortality in the United States using artificial intelligence techniques.
Risk analysis : an official publication of the Society for Risk Analysis
Dec 4, 2022
Having started since late 2019, COVID-19 has spread through far many nations around the globe. Not being known profoundly, the novel virus of the Coronaviruses family has already caused more than half a million deaths and put the lives of many more p...
Validation of a Deep Learning-Based Model to Predict Lung Cancer Risk Using Chest Radiographs and Electronic Medical Record Data.
JAMA network open
Dec 1, 2022
IMPORTANCE: Lung cancer screening with chest computed tomography (CT) prevents lung cancer death; however, fewer than 5% of eligible Americans are screened. CXR-LC, an open-source deep learning tool that estimates lung cancer risk from existing chest...
Causal deep learning reveals the comparative effectiveness of antihyperglycemic treatments in poorly controlled diabetes.
Nature communications
Nov 14, 2022
Type-2 diabetes is associated with severe health outcomes, the effects of which are responsible for approximately 1/4 of the total healthcare spending in the United States (US). Current treatment guidelines endorse a massive number of potential anti-...
An Open Source Replication of a Winning Recidivism Prediction Model.
International journal of offender therapy and comparative criminology
Nov 3, 2022
We present results of our winning solution to the National Institute of Justice recidivism forecasting challenge. Our team, "MCHawks," placed highly in both terms of accuracy (as measured via the Brier score), as well as the fairness criteria (weight...
Trends in clinical validation and usage of US Food and Drug Administration-cleared artificial intelligence algorithms for medical imaging.
Clinical radiology
Oct 28, 2022
AIM: To examine the current landscape of US Food and Drug Administration (FDA)-approved artificial intelligence (AI) medical imaging devices and identify trends in clinical validation strategy.
Survival analysis of localized prostate cancer with deep learning.
Scientific reports
Oct 24, 2022
In recent years, data-driven, deep-learning-based models have shown great promise in medical risk prediction. By utilizing the large-scale Electronic Health Record data found in the U.S. Department of Veterans Affairs, the largest integrated healthca...
Integrative Serum Metabolic Fingerprints Based Multi-Modal Platforms for Lung Adenocarcinoma Early Detection and Pulmonary Nodule Classification.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Oct 18, 2022
Identification of novel non-invasive biomarkers is critical for the early diagnosis of lung adenocarcinoma (LUAD), especially for the accurate classification of pulmonary nodule. Here, a multiplexed assay is developed on an optimized nanoparticle-bas...
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