Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 56,781 to 56,790 of 227,153 articles

Deep Learning and Noninvasive Sensors for Detecting Physiological Dysregulation: A Scoping Review.

Journal of medical systems
Early detection of pain, stress, or hemodynamic instability is key to preventing serious clinical events. In recent years, non-invasive sensors and deep learning algorithms have gained relevance as tools for accurate and continuous monitoring. To map... read more 

Local-Hybrid Functional With a Composite Local Mixing Function Built From a Neural Network and a Strong-Correlation Model.

Journal of computational chemistry
Due to their position-dependent admixture of the exact-exchange (EXX) energy density, local hybrid functionals (LHs) enable a flexible balance between reduced self-interaction errors and smaller static-correlation errors, allowing an escape from the ... read more 

Diagnostic performance of AI-assisted intraoperative imaging for parathyroid identification: a systematic review.

American journal of surgery
BACKGROUND: Intra-operative identification of parathyroid glands might be technically challenging and is a major source of hypocalcemia and nerve injury. Artificial-intelligence (AI)-based computer-vision systems have emerged as a potential adjunct. ... read more 

Technical accuracy of AI-based patient autopositioning in Computed Tomography: An evaluation with dose monitoring system data.

Current problems in diagnostic radiology
INTRODUCTION: Recent advancements in Artificial Intelligence (AI)-driven algorithms have improved patient alignment in Computed Tomography (CT) imaging. However, studies mainly focus on single scanners or specific body areas, indicating a need for br... read more 

A comparative review of red, green, and brown seaweed: Bioactive components, health effects, and machine learning approaches.

Food research international (Ottawa, Ont.)
Edible seaweed subcategorized into Chlorophyta (green algae), Phaeophyceae (brown algae) and Rhodophyta (red algae) are considered sustainable functional foods with marketing challenges and regulatory issues. Seaweed-associated safety concerns contin... read more 

Machine Learning Predictions for Assessing Hard-to-Place Deceased Donor Kidneys.

Kidney medicine
RATIONALE & OBJECTIVE: Nearly 20% of deceased donor kidneys in the United States are placed "out-of-sequence" (ie, outside of standard allocation rules). The rationale for out-of-sequence placements is to expedite placement of kidneys at risk of nonu... read more 

Investigation of Bias Using ChatGPT-4 in Pain Management and Patient Profiling.

The Journal of emergency medicine
BACKGROUND: Large language models, such as ChatGPT (cGPT), are being integrated increasingly into clinical workflows and medical education. However, concerns persist regarding their susceptibility to bias, especially in high-stakes areas like pain ma... read more 

AI-Enabled Waste Classification as a Data-Driven Decision Support Tool for Circular Economy and Urban Sustainability

arXiv
Efficient waste sorting is crucial for enabling circular-economy practices and resource recovery in smart cities. This paper evaluates both traditional machine-learning (Random Forest, SVM, AdaBoost) and deep-learning techniques including custom CNNs... read more 

Countering the Over-Reliance Trap: Mitigating Object Hallucination for LVLMs via a Self-Validation Framework

arXiv
Despite progress in Large Vision Language Models (LVLMs), object hallucination remains a critical issue in image captioning task, where models generate descriptions of non-existent objects, compromising their reliability. Previous work attributes thi... read more