US Health Policy

Development and validation of 15-month mortality prediction models: a retrospective observational comparison of machine-learning techniques in a national sample of Medicare recipients.

OBJECTIVE: The objective is to develop and validate a predictive model for 15-month mortality using ...

Development and Validation of a Deep Learning Algorithm for Mortality Prediction in Selecting Patients With Dementia for Earlier Palliative Care Interventions.

IMPORTANCE: Early palliative care interventions drive high-value care but currently are underused. H...

Neural Mechanisms for Accepting and Rejecting Artificial Social Partners in the Uncanny Valley.

Artificial agents are becoming prevalent across human life domains. However, the neural mechanisms u...

Deep Learning Preoperatively Predicts Value Metrics for Primary Total Knee Arthroplasty: Development and Validation of an Artificial Neural Network Model.

BACKGROUND: The objective is to develop and validate an artificial neural network (ANN) that learns ...

Diagnostic value of spirometry vs impulse oscillometry: A comparative study in children with sickle cell disease.

BACKGROUND: Spirometry is conventionally used to diagnose airway diseases in children with sickle ce...

Artificial Intelligence and Machine Learning in Lower Extremity Arthroplasty: A Review.

BACKGROUND: Driven by the rapid development of big data and processing power, artificial intelligenc...

Child and parent perceptions of acceptability and therapeutic value of a socially assistive robot used during pediatric rehabilitation.

Socially assistive robots are emerging as a method of supporting the rehabilitation of children wit...

Multiple tracking and machine learning reveal dopamine modulation for area-restricted foraging behaviors via velocity change in Caenorhabditis elegans.

Food exploration is an essential survival behavior in organisms. To find food efficiently, many orga...

Is There Value for Artificial Intelligence Applications in Molecular Imaging and Nuclear Medicine?

Preoperative Prediction of Value Metrics and a Patient-Specific Payment Model for Primary Total Hip Arthroplasty: Development and Validation of a Deep Learning Model.

BACKGROUND: The primary objective was to develop and test an artificial neural network (ANN) that le...

Data science, artificial intelligence, and machine learning: Opportunities for laboratory medicine and the value of positive regulation.

Artificial intelligence (AI) and data science are rapidly developing in healthcare, as is their tran...

Robust optic disc and cup segmentation with deep learning for glaucoma detection.

Glaucoma is rated as the leading cause of irreversible vision loss worldwide. Early detection of gla...

Governance of automated image analysis and artificial intelligence analytics in healthcare.

The hype over artificial intelligence (AI) has spawned claims that clinicians (particularly radiolog...

Telehealth in Mental Health Nursing Education: Health Care Simulation With Remote Presence Technology.

The feasibility of integrating remote presence technology within a simulation scenario for psychiatr...

Evaluation of Machine-Learning Algorithms for Predicting Opioid Overdose Risk Among Medicare Beneficiaries With Opioid Prescriptions.

IMPORTANCE: Current approaches to identifying individuals at high risk for opioid overdose target ma...

Machine Learning Accurately Predicts Short-Term Outcomes Following Open Reduction and Internal Fixation of Ankle Fractures.

Ankle fractures are common orthopedic injuries with favorable outcomes when managed with open reduct...

Association Between Net Vertebral Artery Flow Volume and Non-AF Stroke: A Retrospective 2-Year Analysis.

Association between net vertebral artery flow volume (NVAFV) and stroke types remains unclear. We h...

Development and Validation of a Machine Learning Algorithm After Primary Total Hip Arthroplasty: Applications to Length of Stay and Payment Models.

BACKGROUND: Value-based payment programs in orthopedics, specifically primary total hip arthroplasty...

Prediction of Lymph Node Maximum Standardized Uptake Value in Patients With Cancer Using a 3D Convolutional Neural Network: A Proof-of-Concept Study.

OBJECTIVE: The purpose of this study is to determine whether a convolutional neural network (CNN) ca...

Validation of Prediction Models for Critical Care Outcomes Using Natural Language Processing of Electronic Health Record Data.

IMPORTANCE: Accurate prediction of outcomes among patients in intensive care units (ICUs) is importa...

Computer knows best? The need for value-flexibility in medical AI.

Artificial intelligence (AI) is increasingly being developed for use in medicine, including for diag...