[HTML][HTML] Ai in thyroid cancer diagnosis: Techniques, trends, and future directions
Artificial intelligence (AI) has significantly impacted thyroid cancer diagnosis in recent years,
offering advanced tools and methodologies that promise to revolutionize patient outcomes …
offering advanced tools and methodologies that promise to revolutionize patient outcomes …
Confidence interval for micro-averaged F1 and macro-averaged F1 scores
K Takahashi, K Yamamoto, A Kuchiba, T Koyama - Applied Intelligence, 2022 - Springer
A binary classification problem is common in medical field, and we often use sensitivity,
specificity, accuracy, negative and positive predictive values as measures of performance of …
specificity, accuracy, negative and positive predictive values as measures of performance of …
Machine learning and vision transformers for thyroid carcinoma diagnosis: A review
The growing interest in developing smart diagnostic systems to help medical experts
process extensive data for treating incurable diseases has been notable. In particular, the …
process extensive data for treating incurable diseases has been notable. In particular, the …
Computing skin cutaneous melanoma outcome from the HLA-alleles and clinical characteristics
Human leukocyte antigen (HLA) are essential components of the immune system that
stimulate immune cells to provide protection and defense against cancer. Thousands of HLA …
stimulate immune cells to provide protection and defense against cancer. Thousands of HLA …
Hypothesis testing procedure for binary and multi‐class F1‐scores in the paired design
K Takahashi, K Yamamoto, A Kuchiba… - Statistics in …, 2023 - Wiley Online Library
In modern medicine, medical tests are used for various purposes including diagnosis,
disease screening, prognosis, and risk prediction. To quantify the performance of the binary …
disease screening, prognosis, and risk prediction. To quantify the performance of the binary …
Prognostic biomarkers for predicting papillary thyroid carcinoma patients at high risk using nine genes of apoptotic pathway
Aberrant expressions of apoptotic genes have been associated with papillary thyroid
carcinoma (PTC) in the past, however, their prognostic role and utility as biomarkers remains …
carcinoma (PTC) in the past, however, their prognostic role and utility as biomarkers remains …
Predicting Thyroid Dysfunction Using Machine Learning Techniques
The history of the thyroid gland dates back to ancient times when it was recognized as a
structure in the neck that was important for maintaining good health. Early detection of …
structure in the neck that was important for maintaining good health. Early detection of …
Computational resources in healthcare
Healthcare is the most important component in the life of all human beings as each
individual wish to have happy, healthy, and wealthy life‐span. Most of the branches of …
individual wish to have happy, healthy, and wealthy life‐span. Most of the branches of …
From Bench-to-Bedside: How Artificial Intelligence is Changing Thyroid Nodule Diagnostics, a Systematic Review
Context Use of artificial intelligence (AI) to predict clinical outcomes in thyroid nodule
diagnostics has grown exponentially over the past decade. The greatest challenge is in …
diagnostics has grown exponentially over the past decade. The greatest challenge is in …
Uncovering key molecular mechanisms in the early and late-stage of papillary thyroid carcinoma using association rule mining algorithm
SM Hosseiniyan Khatibi, S Zununi Vahed… - Plos one, 2023 - journals.plos.org
Objective Thyroid Cancer (TC) is the most frequent endocrine malignancy neoplasm. It is the
sixth cause of cancer in women worldwide. The treatment process could be expedited by …
sixth cause of cancer in women worldwide. The treatment process could be expedited by …