Refractive Surgery

Associations of AI-Based Facial Metrics With Patient-Reported Outcomes in Idiopathic Facial Paralysis.

OBJECTIVE: Conventional grading scales and static image assessments may not capture dynamic facial movement in facial paralysis. We developed a video-based, dynamic, artificial intelligence (AI) application, DynaFace, to objectively quantify facial metrics and determine which measures correspond with patient-reported appearance, function, and psychosocial outcomes, providing insight into how objec...

Periodontal bone loss analysis via keypoint detection with heuristic post-processing.

OBJECTIVES: This study proposes a deep learning framework and an annotation methodology for the automatic detection of periodontal bone loss landmarks, associated conditions, and staging. Methods192 periapical radiographs were collected and annotated using a stage agnostic methodology, labelling clinically relevant landmarks regardless of disease presence or extent. We propose a heuristic post-pro...

Exfoliated kidney cells from urine for non-invasive kidney transplant monitoring: A potential opportunity?

Kidney transplantation is usually the optimal treatment option for patients living with kidney failure given its associations with improved survival, ...

Enhancing readability and understandability of vascular surgery discharge summaries using artificial intelligence.

ObjectivesThis study aimed to assess whether Large Language Models (LLMs), like ChatGPT-4, could simplify discharge summaries for vascular surgery pat...

Multimodal AI System for Plastic Surgery Diagnosis and Decision-Making Using Deep Learning of Psychological Questionnaires and Three-Dimensional Facial Data.

PURPOSE: To design and develop an AI-based plastic surgery recommendation system using 3D photographs and psychological questionnaire surveys, aiming ...

Readability, Accuracy, and Lexical Diversity of New ChatGPT Models for Common Carpal Tunnel Syndrome Questions.

BACKGROUND: Carpal tunnel syndrome (CTS) is a prevalent neuropathy in hand surgery that significantly affects people's quality of life. Frequently, pa...

Multimodal AI for Predicting 3- and 5-Year Risks of Myopic Choroidal Neovascularization in High Myopia.

PURPOSE: To develop artificial intelligence (AI)-based models for estimating the risk of myopic macular neovascularization (MNV) in highly myopic eyes...

Malpractice in the machine age: Legal and ethical responses to machine learning in medical imaging.

OBJECTIVES: Artificial intelligence (AI) and machine learning (ML) are increasingly integrated into diagnostic imaging. This review examines how AI ad...

Developing and validating a machine learning model for predicting post-thrombolysis seizures in acute ischemic stroke.

Post-stroke seizures (PSS) manifests variably due to ischemic brain injury, yet its risk factors remain unclear. This study developed a machine learni...

Dynamic Eyelid Evaluation Using a Deep Neural Network in Upper Blepharoplasty: A Prospective Multicenter Pilot Study.

BACKGROUND: Upper blepharoplasty is the most common cosmetic procedure in East Asia. A natural Asian double eyelid features specific crease characteri...

Interpretable AI-driven prediction of early postoperative recurrence in locally advanced rectal cancer using the Systemic Inflammatory-Nutritional Index (SINTI): A multi-center study and clinical web tool.

BACKGROUND: Patients with locally advanced rectal cancer (LARC) who undergo neoadjuvant chemoradiotherapy (NCRT) and subsequently experience early rec...

Effectiveness of Informed AI Use on Clinical Competence of General Practitioners and Internists: Pre-Post Intervention Study.

BACKGROUND: Artificial intelligence (AI) shows promise in clinical diagnosis, treatment support, and health care efficiency. However, its adoption in ...

Prior beliefs & automated fact checking: Limits on the effectiveness of AI-based corrections.

Proliferation of misinformation poses significant challenges in contemporary society, necessitating efficient strategies for its identification and mi...

Risk assessment in cardiac surgery: Exploring machine learning and laboratory indices as adjunctive tools.

BACKGROUND: Post-operative outcomes of cardiovascular surgery vary greatly among patients for a variety of reasons. While the specific reasons are oft...

Pioneering the future: Delivering the first digitally generated CMC post-approval change dossier to global regulators simultaneously.

As medicinal products and their manufacturing processes evolve, biopharmaceutical companies must continuously manage, document, and submit post-approv...

Shaping the future of myopia: artificial intelligence for vitreoretinal complications of high and pathologic myopia.

PURPOSE: The global impact of myopia extends far beyond individual ocular health, posing significant challenges to healthcare systems worldwide. Artif...

Exploratory identification of intestinal health and productive performance patterns in post-weaning piglets using explainable machine learning.

Weaning is a critical stage in swine production, characterized by intestinal alterations that affect piglet health and performance. In this study, mac...

Prognostic Significance of Lymph Node Ratio for Overall Survival in Patients with Lymph Node-Positive Bladder Cancer Post-Radical Cystectomy and Chemotherapy: A Multicenter Cohort Analysis.

BACKGROUND: The lymph node ratio (LNR) is gaining recognition as a prognostic biomarker for various malignant neoplasms. However, its prognostic role ...

Post-secondary student adoption of mental health labels through their use of social media: a scoping review.

BACKGROUND: Social media is a significant source of information for post-secondary students, who are usually at the age at which many common mental di...

Deep neural network-based analysis of voice biomarkers for monitoring treatment response in adolescent major depressive disorder.

BACKGROUND: In adolescents, identifying objective biomarkers for treatment response is crucial for the development of effective interventions. Voice-b...