Surveys

A Systematic Survey and Benchmark of Deep Learning for Molecular Property Prediction in the Foundation Model Era.

Molecular property prediction integrates quantum chemistry, cheminformatics, and deep learning to connect molecular structure with physicochemical and biological behavior. This survey traces four complementary paradigms, including Quantum, Descriptor Machine Learning, Geometric Deep Learning, and Foundation Models, and outlines a unified taxonomy linking molecular representations, model architectu...

A Machine-Learning Assisted Genetic Risk Score Identifies Improved Weight Loss After Endoscopic Sleeve Gastroplasty.

BACKGROUND AND AIMS: Obesity remains an epidemic associated with significant health consequences. Endoscopic sleeve gastroplasty (ESG) can lead to significant and sustained weight loss, with heterogeneous response. We previously reported a machine-learning (ML) assisted genetic risk score (GRS) for calories to satiation that predicts response to anti-obesity medications. Here, we evaluated the per...

Towards reliable use of artificial intelligence to classify otitis media using otoscopic images: Addressing bias and improving data quality.

Ear disease contributes significantly to global hearing loss, with recurrent otitis media being a primary preventable cause in children, impacting dev...

Developing and Internally Validating AI-Based Aging Resilience Biomarkers in Non-Human Primates.

Quantifying biological aging is crucial for understanding functional decline before the onset of morbidity. While many accelerated aging and frailty m...

Sad but true: how emotions and political ideology shape perceptions of information.

Political and economic challenges, amplified by social media algorithms, are increasingly polarising how people receive and evaluate information. This...

Knowledge and Awareness of Performance Metrics in Dental Image Analysis With Artificial Intelligence: A Cross-Sectional Survey of Researchers and Clinicians.

INTRODUCTION AND AIM: Appropriate performance metrics are essential for evaluating machine learning (ML) algorithm performance in dental image analysi...

Beyond Scales and Essays: Artificial Intelligence Chatbots as Personality Interviewers.

AI chatbots offer an interactive method to assess personality through semi-structured interviews. By leveraging natural language processing and machin...

AI chatbots in strabismus care: A multidomain expert evaluation of caregiver-facing information.

AimTo evaluate and compare the performance of five artificial intelligence (AI) chatbots-ChatGPT (OpenAI 4), Google Gemini, Grok (xAI), DeepSeek, and ...

Design and Evaluation of a Faculty Development Workshop Series on Integrating Generative Artificial Intelligence in Medical Education: Mixed Methods Pilot Study.

BACKGROUND: Generative artificial intelligence (GenAI) tools are being increasingly applied to teaching and learning in medical education creating bot...

De-risking Biopharma Asset Acquisition: Towards a Quantitative Framework for Strategic Decision-making.

The impending patent cliff projected between 2028-2030 poses significant commercial and strategic challenges for innovative pharmaceutical and biotech...

Automated full-text screening and accelerated reviews using large language models with context-aware agents: an exploratory analysis in biomarker research.

AIMS: Artificial intelligence (AI) tools utilizing large language models (LLMs) can accelerate scientific literature reviews by automating title, abst...

Artificial Intelligence Models Using Magnetic Resonance Imaging to Predict Response to Chemoradiotherapy in Rectal Cancer: A Systematic Review.

BACKGROUND: Pathological complete response (pCR) following neoadjuvant chemoradiotherapy (nCRT) in locally advanced rectal cancer (LARC) is a key prog...

Aerial LiDAR-Based, Source-Resolved Methane Emissions Inventory: Permian Basin Case Study for Benchmarking U.S. Emissions.

Reducing methane emissions can slow near-term warming, yet building accurate inventories to inform mitigation efforts and track progress toward reduct...

The Effectiveness of Artificial Intelligence in Undergraduate Health Professions Education: Systematic Review and Meta-Analysis of Randomized Controlled Trials.

BACKGROUND: Health professions education faces increasing challenges from rising health care complexity, pedagogical shifts, and constrained curricula...

Multi-scale data improves performance of machine learning model for long COVID identification.

BACKGROUND: Long COVID affects a substantial proportion of the over 778 million individuals infected with SARS-CoV-2, yet predictive models remain lim...

Artificial Intelligence-Based Prognostic Models for Postoperative Outcomes in Vitreoretinal Surgery: A Systematic Review and Meta-Analysis.

TOPIC: This review evaluated the performance of artificial intelligence (AI) models for predicting outcomes after vitreoretinal surgery compared with ...

When AI Colludes: Clinical Reliability of Training and Preference Data as a Trustworthy-AI Criterion.

BACKGROUND: Research on artificial intelligence (AI) and mental health has focused largely on harms at deployment, including chatbot safety, sycophanc...

Detecting and Mitigating Bias for Inclusive and Trustworthy Clinical Research: A Scientific Statement From the American Heart Association.

Bias in clinical research affects not only the internal validity of studies but also the equitable distribution of health benefits derived from studie...

Augmented Reality and Artificial Intelligence for the Assessment and Rehabilitation of Spatial Neglect: A Systematic Review.

BACKGROUND AND PURPOSE: Augmented reality (AR) and artificial intelligence (AI) have been applied to the assessment and rehabilitation of post-stroke ...

Improving Isotope Ratio Accuracy in Metabolic Labeling Using Orbitrap Mass Spectrometry: A Machine Learning Correction Algorithm for Metabolic Flux Analysis.

Stable isotope labeling is widely used to study metabolic fluxes. Mass spectrometry is the primary tool for measuring isotope ratios in biomolecules, ...