AIMC Topic: Diagnosis, Computer-Assisted

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Novel Tinnitus Diagnosis: Biology and Technology for Public Health Management.

Studies in health technology and informatics
Tinnitus, characterized by the perception of ringing or buzzing in the ears, significantly affects millions globally and negatively impacts their quality of life. Current management strategies vary in effectiveness, underscoring the need for precise,...

Energy-Efficient AI for Medical Diagnostics: Performance and Sustainability Analysis of ResNet and MobileNet.

Studies in health technology and informatics
Artificial intelligence (AI) has transformed medical diagnostics by enhancing the accuracy of disease detection, particularly through deep learning models to analyze medical imaging data. However, the energy demands of training these models, such as ...

Delirium Identification from Nursing Reports Using Large Language Models.

Studies in health technology and informatics
This study investigates large language models for delirium detection from nursing reports, comparing keyword matching, prompting, and finetuning. Using a manually labelled dataset from the University Hospital Freiburg, Germany, we tested Llama3 and P...

Exploring Differential Diagnosis-Based Explainable AI: A Case Study in Melanoma Detection.

Studies in health technology and informatics
Melanoma is a significant global health concern, with rising incidence rates and high mortality when diagnosed late. Artificial Intelligence (AI) models, especially models using deep learning techniques, have shown promising results in melanoma detec...

Fine-Tuning an Existing Large Language Model with Knowledge from the Medical Expert System Hepaxpert.

Studies in health technology and informatics
The analysis and individual interpretation of hepatitis serology test results is a complex task in laboratory medicine, requiring either experienced physicians or specialized expert systems. This study explores fine-tuning a large language model (LLM...

Application of artificial intelligence medical imaging aided diagnosis system in the diagnosis of pulmonary nodules.

BMC medical informatics and decision making
The application of artificial intelligence (AI) technology has realized the transformation of people's production and lifestyle, and also promoted the rapid development of the medical field. At present, the application of intelligence in the medical ...

A fusocelular skin dataset with whole slide images for deep learning models.

Scientific data
Cutaneous spindle cell (CSC) lesions encompass a spectrum from benign to malignant neoplasms, often posing significant diagnostic challenges. Computer-aided diagnosis systems offer a promising solution to make pathologists' decisions objective and fa...

An automated cascade framework for glioma prognosis via segmentation, multi-feature fusion and classification techniques.

Biomedical physics & engineering express
Glioma is one of the most lethal types of brain tumors, accounting for approximately 33% of all diagnosed brain tumor cases. Accurate segmentation and classification are crucial for precise glioma characterization, emphasizing early detection of mali...

Artificial intelligence in dermatology and healthcare: An overview.

Indian journal of dermatology, venereology and leprology
Many aspects of our life are affected by technology. One of the most discussed advancements of modern technologies is artificial intelligence. It involves computational methods which in some way mimic the human thought process. Just like other branch...

The Potential Role of AI- and Machine Learning Models in the Early Detection of Oral Cancer and Oral Potentially Malignant Disorders.

Studies in health technology and informatics
INTRODUCTION: Artificial Intelligence (AI) is playing an increasing role in advancing diagnostic processes and decision-making in healthcare. In the early detection of oral cancer and oral potentially malignant disorders (OPMDs), its role is still be...