AIMC Topic: United States
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Use of Health Belief Model-based Deep Learning to Understand Public Health Beliefs in Breast Cancer Screening from Social Media before and during the COVID-19 Pandemic.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 11, 2024
Breast cancer is the second leading cause of cancer death for women in the United States. While breast cancer screening participation is the most effective method for early detection, screening rate has remained low. Given that understanding health p...
Automatic Mapping of Terminology Items with Transformers.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 11, 2024
Biomedical ontologies are a key component in many systems for the analysis of textual clinical data. They are employed to organize information about a certain domain relying on a hierarchy of different classes. Each class maps a concept to items in a...
Ethical Considerations of Artificial Intelligence in Health Care: Examining the Role of Generative Pretrained Transformer-4.
The Journal of the American Academy of Orthopaedic Surgeons
Jan 3, 2024
The integration of artificial intelligence technologies, such as large language models (LLMs), in health care holds potential for improved efficiency and decision support. However, ethical concerns must be addressed before widespread adoption. This a...
Safely and autonomously cutting meat with a collaborative robot arm.
Scientific reports
Jan 2, 2024
Labor shortages in the United States are impacting a number of industries including the meat processing sector. Collaborative technologies that work alongside humans while increasing production abilities may support the industry by enhancing automati...
Prediction of early-onset colorectal cancer mortality rates in the United States using machine learning.
Cancer medicine
Dec 27, 2023
INTRODUCTION: The current study, focusing on a significant US (United States) colorectal cancer (CRC) burden, employs machine learning for predicting future rates among young population.
Predicting recurrent interventions after radiocephalic arteriovenous fistula creation with machine learning and the PREDICT-AVF web app.
The journal of vascular access
Dec 25, 2023
OBJECTIVE: Kidney Disease Outcomes Quality Initiative (KDOQI) guidelines discourage ongoing access salvage attempts after two interventions prior to successful use or more than three interventions per year overall. The goal was to develop a tool for ...
Upper Extremity
Veins
Arteriovenous Shunt, Surgical
Graft Occlusion, Vascular
Vascular Patency
Predictive Value of Tests
Radial Artery
Recurrence
Decision Support Techniques
Prospective Studies
Humans
Machine Learning
Risk Assessment
Renal Dialysis
Time Factors
United States
Treatment Outcome
Mobile Applications
Canada
Aged
Adult
Male
Middle Aged
Clinical Decision-Making
Female
Risk Factors
Deep learning for [F]fluorodeoxyglucose-PET-CT classification in patients with lymphoma: a dual-centre retrospective analysis.
The Lancet. Digital health
Dec 21, 2023
BACKGROUND: The rising global cancer burden has led to an increasing demand for imaging tests such as [F]fluorodeoxyglucose ([F]FDG)-PET-CT. To aid imaging specialists in dealing with high scan volumes, we aimed to train a deep learning artificial in...
Deployment and assessment of a deep learning model for real-time detection of anal precancer with high frame rate high-resolution microendoscopy.
Scientific reports
Dec 14, 2023
Anal cancer incidence is significantly higher in people living with HIV as HIV increases the oncogenic potential of human papillomavirus. The incidence of anal cancer in the United States has recently increased, with diagnosis and treatment hampered ...
Assessing the Utility of a Machine-Learning Model to Assist With the Assignment of the American Society of Anesthesiology Physical Status Classification in Pediatric Patients.
Anesthesia and analgesia
Dec 13, 2023
BACKGROUND: The American Society of Anesthesiologists Physical Status Classification System (ASA-PS) is used to classify patients' health before delivering an anesthetic. Assigning an ASA-PS Classification score to pediatric patients can be challengi...
AI dietician: Unveiling the accuracy of ChatGPT's nutritional estimations.
Nutrition (Burbank, Los Angeles County, Calif.)
Dec 12, 2023
We investigate the accuracy and reliability of ChatGPT, an artificial intelligence model developed by OpenAI, in providing nutritional information for dietary planning and weight management. The results have a reasonable level of accuracy, with energ...
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