Prescriptions

Comprehensive plant disease classification and severity estimation for sustainable farming via automatic segmentation and multi-scale feature fusion.

Detecting plant leaf diseases at an early stage is one of the most important requirements for sustainable agriculture, increasing crop productivity, and achieving the global Sustainable Development Goals (SDGs). However, accurately recognizing them in real-world farm fields can still be difficult due to factors such as background complexity, changes in light conditions, and very similar looking cl...

Artificial Intelligence Across the Vaccine Clinical Trial Lifecycle: Evidence, Readiness, and Guardrails.

Artificial intelligence (AI) is increasingly being used to support clinical research, but its value in vaccine clinical trials requires careful evidence-based assessment. Vaccine trials pose distinctive challenges, including high safety expectations in healthy participants, evolving pathogen exposure and baseline immunity, incomplete correlates of protection, applicability of findings to intended-...

Bias and Fairness Across the Healthcare AI Lifecycle: A Clinician-Oriented Review.

Artificial intelligence (AI) is increasingly being investigated and, in selected clinical settings, implemented to support diagnosis, triage, and work...

Therapeutic hybrid intelligence with neural and knowledge-based expert reasoning for SRS (THINKERS): an AI model for meningioma.

BACKGROUND: Prescription dose selection for intracranial meningiomas treated with stereotactic radiosurgery remains guided by tumor volume, anatomical...

First-episode psychosis and mood disorder onset in individuals with epilepsy.

BACKGROUND: Psychiatric disorders represent a major burden for patients with epilepsy (PwE). This study examined how demographic, epilepsy-related, an...

X-DILiver: an ensemble learning framework for predicting drug-induced liver injury.

Drug-induced liver injury (DILI) is a primary cause of drug attrition, associated with over 1000 medications and accounting for 32% of marketed drugs ...

A quantitative study on user interaction and brand perception of visual elements in social media advertising driven by deep learning.

This paper focuses on the field of sentiment analysis for social media advertisements, specifically investigating the quantitative impact of visual de...

Context-agnostic machine learning for Parkinson's disease motor symptom detection using wearable sensors.

BACKGROUND: Parkinson's disease is a rapidly growing neurodegenerative disorder with various motor and non-motor symptoms, affecting millions of peopl...

Enhancing low-light images with MSHCDI-Net: A multi-scale hybrid cross-domain interaction approach.

Low-light image enhancement aims to improve visual visibility and perceptual quality under challenging illumination conditions. However, conventional ...

AI-Simulated Patients for Training Shared Decision-Making: Feasibility Study in Medical Education.

BACKGROUND: Shared decision-making (SDM) is a key element of patient-centered care; however, opportunities for structured and scalable SDM training re...

An optimized deep learning-based drug recommendation system using a sentiment analysis and transformer models for improved predictions.

BACKGROUND: Healthcare users can be assisted by a medicine or drug recommendation system (MRS) by understanding their needs and supporting informed de...

LINKER: Learning Interactions between Functional Groups and Residues with Chemical Knowledge-Enhanced Reasoning and Explainability.

Accurate identification of interactions between protein residues and ligand functional groups is critical for understanding molecular recognition and ...

Using Artificial Intelligence to Identify Patterns and Predictors of Adverse Drug Reactions in Cardiovascular Patients: A Comprehensive Narrative Review.

Artificial intelligence (AI) has emerged as a transformative tool for improving the detection, prediction, and prevention of adverse drug reactions (A...

Machine Learning-Augmented Traditional Analysis of Lactate vs Lactate-to-Albumin Ratio for Predicting Mortality Risk in Patients With Sepsis: Large-Scale Retrospective Study.

BACKGROUND: Effective risk stratification in sepsis remains a critical clinical challenge. Serum lactate is a cornerstone biomarker of metabolic dysfu...

AI for Causality Assessment in Pharmacovigilance: Protocol for a Scoping Review.

BACKGROUND: Pharmacovigilance aims to protect patient safety by identifying and managing adverse events associated with pharmaceuticals. Determining t...

Personalised approach to hypertension treatment: protocol for the HYPERMARKER randomised controlled trial.

INTRODUCTION: Blood pressure treatment response is variable in individual patients, and the choice of medical therapy is often dependent on clinician ...

A Noise-Aware Robustness Evaluation Framework for Breast Cancer Classification in Ultrasound Imaging.

Accurate detection of breast cancer is essential, as it remains a leading cause of cancer-related mortality worldwide. Ultrasound is adopted due to it...

Artificial intelligence-based chatbots to enhance medication adherence among patients with non-communicable chronic diseases: Systematic review and meta-analysis.

Medication adherence remains a major public health challenge among patients with non-communicable diseases (NCDs) worldwide. Artificial intelligence (...

Thinking about the Impact of Artificial Intelligence on U.S. Health Care Costs and Spending Growth.

This article critically examines the potential impacts of artificial intelligence (AI) on prices, total spending, and the rate of spending growth in t...

The Influence of Robot Facial Expression and Inclusion Behavior on Rapport and Trust in Older Adults: Mixed-Factorial Experimental Study.

BACKGROUND: The World Health Organization framework for healthy aging emphasizes that the capacity to establish and sustain relationships is a vital c...