Artificial Intelligence Medical Compendium

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

Showing 52,901 to 52,910 of 225,341 articles

KoTaP: A Panel Dataset for Corporate Tax Avoidance, Performance, and Governance in Korea.

Scientific data
This study introduces the Korean Tax Avoidance Panel (KoTaP), a long-term panel dataset of non-financial firms listed on KOSPI and KOSDAQ between 2011 and 2024. After excluding financial firms, firms with non-December fiscal year ends, capital impair... read more 

A High Magnifications Histopathology Image Dataset for Oral Squamous Cell Carcinoma Diagnosis and Prognosis.

Scientific data
Oral Squamous Cell Carcinoma (OSCC) is a prevalent and aggressive malignancy where deep learning-based computer-aided diagnosis and prognosis can enhance clinical assessments. However, existing publicly available OSCC datasets often suffer from limit... read more 

Unveiling key peak features for olive oil authentication utilizing Raman spectroscopy and chemometrics.

NPJ science of food
Adulteration of olive oil significantly compromises the interests of both producers and consumers, making its authentication a crucial challenge in the food industry. This study explored the potential of combining Raman spectroscopy with machine lear... read more 

Establishing dermatopathology encyclopedia DermpathNet with Artificial Intelligence-Based Workflow.

Scientific data
Accessing high-quality, open-access dermatopathology image datasets for learning and cross-referencing is a common challenge for clinicians and trainees. To establish a comprehensive open-access dermatopathology dataset for educational, cross-referen... read more 

Hyperparameter optimization to enhance the performance of deep learning models for the early detection of invasive turtles in Korea.

Scientific reports
Invasive freshwater turtles are major drivers of biodiversity loss, underscoring the importance of early detection and management. However, it is challenging for experts to manually monitor a broad geographic area, necessitating support tools. Deep l... read more 

Real-world performance of an AI system for diabetic retinopathy screening.

Scientific reports
Diabetic retinopathy (DR) is a leading cause of preventable blindness, and the growing global burden of diabetes is placing increasing pressure on ophthalmic services. Artificial intelligence (AI)-based retinal image analysis offers a promising strat... read more