Artificial Intelligence Medical Compendium

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

Showing 53,081 to 53,090 of 225,548 articles

A Large-Scale Peripheral Blood Cell Dataset for Automated Hematological Analysis.

Scientific data
White blood cell classification is fundamental to hematological diagnosis, yet existing datasets are limited in scale and class diversity. We present a comprehensive peripheral blood cell dataset comprising 31,489 high-resolution microscopic images a... read more 

StatLLM: A Dataset for Evaluating the Performance of Large Language Models in Statistical Analysis.

Scientific data
The coding capabilities of large language models (LLMs) have opened up new opportunities for automatic statistical analysis in machine learning and data science. However, before their widespread adoption, it is crucial to assess the accuracy of code ... read more 

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