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Thyroid nodular disease is one of the most frequent endocrine diseases. The prevalence of thyroid focal lesions detected by imaging techniques, according to studies on different populations, ranges from 10 to 70%. In a population of women over 50 years of age, approximately half of them will have a thyroid focal lesion. However, only 18% of thyroid nodules are diagnosed as malignant. Thyroid nodular disease is the most frequently diagnosed endocrine pathology, while thyroid cancer constitues the most common endocrine malignancy and is reponsible for about 67% of deaths due to neoplasms derived from endocrine organs. The incidence of thyroid cancer has risen by about 240% in the last three decades. Due to the increased availability of imaging techniques, recently, a rise in the detectability of thyroid cancer at the stage of microcarcinoma has been observed. Diagnostic and therapeutic decisions in patients with thyroid nodules require an interdisciplinary consensus between endocrinologists and physicians of other specialities (radiologists, pathologists, surgeons, oncologists). This book focuses on current trends in novel techniques of thyroid nodule diagnostics before they are implemented in the current guidelines on the management of thyroid nodular disease.

Medicine --- thyroid nodule --- care pathway --- guidelines --- fine-needle aspiration cytology --- thyroid cancer --- COLD-PCR --- digital PCR --- BRAFV600E --- papillary thyroid cancer --- liquid biopsy --- thyroid nodules --- ultrasound --- computer-aided diagnosis --- S-Detect --- EU-TIRADS --- PTC --- thyroid --- metastasis --- Snail-1 --- primary hyperparathyroidism --- parathyroidectomy --- remedial surgery --- ectopic mediastinal localization --- persistent hypercalcemia --- ectopic thymus --- shear wave sonoelastography --- strain elastography --- metastatic lymph nodes --- shear wave elastography --- interobserver variability --- tissue aspirate parathyroid hormone assay --- recurrent renal hyperparathyroidism --- persistent renal hyperparathyroidism --- parathyroid sonography --- parathyroid scintigraphy --- thyroid surgery --- vocal cord dysfunction --- vocal cord palsy --- loss of signal --- complications --- parathyroid adenoma --- hyperparathyroidism --- PET-CT --- FEC --- FCH --- n/a --- postsurgical hypoparathyroidism --- risk-factor analysis --- time course

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This reprint includes 15 articles in the field of non-communicable Diseases, big data, and artificial intelligence, overviewing the most recent advances in the field of AI and their application potential in 3P medicine.

Medicine --- artificial intelligence --- computer-aided diagnosis --- facial phenotypes --- machine learning --- complexity theory --- dementia --- cognitive dysfunction --- neuropsychological tests --- mental status and dementia tests --- spontaneous intracerebral hemorrhage (SICH) --- 90-day function outcome --- mortality --- osteoarthritis --- venous thrombosis --- VTE risk prediction --- machine learning algorithm --- population-based cohort study --- pituitary adenoma --- craniopharyngioma --- optic chiasm --- multicenter --- treatment outcome --- liver neoplasms --- deep learning --- diabetic complication --- gene-gene interaction --- AGER --- IL6R --- multiple sclerosis --- DNA methylation --- entropy --- atherosclerosis --- plaque characterization --- physical activity --- osteoporosis --- osteoporotic fracture --- vertebral fracture --- hip fracture --- distal radius fracture --- small for gestational age --- exposure to radiation --- prediction --- coronary plaque --- major adverse cardiovascular events --- coronary artery disease --- coronary computed tomographic angiography --- acute pancreatitis --- predictor --- interventions --- type 2 diabetes mellitus (T2DM) --- prediction model --- Chinese elderly --- prediabetes --- incident diabetes --- predictive models --- artificial intelligence --- computer-aided diagnosis --- facial phenotypes --- machine learning --- complexity theory --- dementia --- cognitive dysfunction --- neuropsychological tests --- mental status and dementia tests --- spontaneous intracerebral hemorrhage (SICH) --- 90-day function outcome --- mortality --- osteoarthritis --- venous thrombosis --- VTE risk prediction --- machine learning algorithm --- population-based cohort study --- pituitary adenoma --- craniopharyngioma --- optic chiasm --- multicenter --- treatment outcome --- liver neoplasms --- deep learning --- diabetic complication --- gene-gene interaction --- AGER --- IL6R --- multiple sclerosis --- DNA methylation --- entropy --- atherosclerosis --- plaque characterization --- physical activity --- osteoporosis --- osteoporotic fracture --- vertebral fracture --- hip fracture --- distal radius fracture --- small for gestational age --- exposure to radiation --- prediction --- coronary plaque --- major adverse cardiovascular events --- coronary artery disease --- coronary computed tomographic angiography --- acute pancreatitis --- predictor --- interventions --- type 2 diabetes mellitus (T2DM) --- prediction model --- Chinese elderly --- prediabetes --- incident diabetes --- predictive models

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Thyroid nodular disease is one of the most frequent endocrine diseases. The prevalence of thyroid focal lesions detected by imaging techniques, according to studies on different populations, ranges from 10 to 70%. In a population of women over 50 years of age, approximately half of them will have a thyroid focal lesion. However, only 18% of thyroid nodules are diagnosed as malignant. Thyroid nodular disease is the most frequently diagnosed endocrine pathology, while thyroid cancer constitues the most common endocrine malignancy and is reponsible for about 67% of deaths due to neoplasms derived from endocrine organs. The incidence of thyroid cancer has risen by about 240% in the last three decades. Due to the increased availability of imaging techniques, recently, a rise in the detectability of thyroid cancer at the stage of microcarcinoma has been observed. Diagnostic and therapeutic decisions in patients with thyroid nodules require an interdisciplinary consensus between endocrinologists and physicians of other specialities (radiologists, pathologists, surgeons, oncologists). This book focuses on current trends in novel techniques of thyroid nodule diagnostics before they are implemented in the current guidelines on the management of thyroid nodular disease.

Medicine --- thyroid nodule --- care pathway --- guidelines --- fine-needle aspiration cytology --- thyroid cancer --- COLD-PCR --- digital PCR --- BRAFV600E --- papillary thyroid cancer --- liquid biopsy --- thyroid nodules --- ultrasound --- computer-aided diagnosis --- S-Detect --- EU-TIRADS --- PTC --- thyroid --- metastasis --- Snail-1 --- primary hyperparathyroidism --- parathyroidectomy --- remedial surgery --- ectopic mediastinal localization --- persistent hypercalcemia --- ectopic thymus --- shear wave sonoelastography --- strain elastography --- metastatic lymph nodes --- shear wave elastography --- interobserver variability --- tissue aspirate parathyroid hormone assay --- recurrent renal hyperparathyroidism --- persistent renal hyperparathyroidism --- parathyroid sonography --- parathyroid scintigraphy --- thyroid surgery --- vocal cord dysfunction --- vocal cord palsy --- loss of signal --- complications --- parathyroid adenoma --- hyperparathyroidism --- PET-CT --- FEC --- FCH --- postsurgical hypoparathyroidism --- risk-factor analysis --- time course --- thyroid nodule --- care pathway --- guidelines --- fine-needle aspiration cytology --- thyroid cancer --- COLD-PCR --- digital PCR --- BRAFV600E --- papillary thyroid cancer --- liquid biopsy --- thyroid nodules --- ultrasound --- computer-aided diagnosis --- S-Detect --- EU-TIRADS --- PTC --- thyroid --- metastasis --- Snail-1 --- primary hyperparathyroidism --- parathyroidectomy --- remedial surgery --- ectopic mediastinal localization --- persistent hypercalcemia --- ectopic thymus --- shear wave sonoelastography --- strain elastography --- metastatic lymph nodes --- shear wave elastography --- interobserver variability --- tissue aspirate parathyroid hormone assay --- recurrent renal hyperparathyroidism --- persistent renal hyperparathyroidism --- parathyroid sonography --- parathyroid scintigraphy --- thyroid surgery --- vocal cord dysfunction --- vocal cord palsy --- loss of signal --- complications --- parathyroid adenoma --- hyperparathyroidism --- PET-CT --- FEC --- FCH --- postsurgical hypoparathyroidism --- risk-factor analysis --- time course

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This reprint includes 15 articles in the field of non-communicable Diseases, big data, and artificial intelligence, overviewing the most recent advances in the field of AI and their application potential in 3P medicine.

Medicine --- artificial intelligence --- computer-aided diagnosis --- facial phenotypes --- machine learning --- complexity theory --- dementia --- cognitive dysfunction --- neuropsychological tests --- mental status and dementia tests --- spontaneous intracerebral hemorrhage (SICH) --- 90-day function outcome --- mortality --- osteoarthritis --- venous thrombosis --- VTE risk prediction --- machine learning algorithm --- population-based cohort study --- pituitary adenoma --- craniopharyngioma --- optic chiasm --- multicenter --- treatment outcome --- liver neoplasms --- deep learning --- diabetic complication --- gene-gene interaction --- AGER --- IL6R --- multiple sclerosis --- DNA methylation --- entropy --- atherosclerosis --- plaque characterization --- physical activity --- osteoporosis --- osteoporotic fracture --- vertebral fracture --- hip fracture --- distal radius fracture --- small for gestational age --- exposure to radiation --- prediction --- coronary plaque --- major adverse cardiovascular events --- coronary artery disease --- coronary computed tomographic angiography --- acute pancreatitis --- predictor --- interventions --- type 2 diabetes mellitus (T2DM) --- prediction model --- Chinese elderly --- prediabetes --- incident diabetes --- predictive models

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This book includes 13 papers published in Special Issue ("Visual and Camera Sensors") of the journal Sensors. The goal of this Special Issue was to invite high-quality, state-of-the-art research papers dealing with challenging issues in visual and camera sensors.

self-assembly device --- 3D point clouds --- accuracy analysis --- VSLAM-photogrammetric algorithm --- portable mobile mapping system --- low-cost device --- BIM --- camera calibration --- DLT --- PnP --- weighted DLT --- uncertainty --- covariance --- robustness --- visual-inertial --- semi-direct SLAM --- multi-sensor fusion --- side-rear-view monitoring system --- automatic online calibration --- Hough-space --- unmanned aerial vehicle --- autonomous landing --- deep-learning-based motion deblurring and marker detection --- network slimming --- pruning model --- convolutional neural network --- convolutional filter --- classification --- multimodal human recognition --- blur image restoration --- DeblurGAN --- CNN --- facial expression recognition system --- computer vision --- multi-scale featured local binary pattern --- unsharp masking --- machine learning --- lens distortion --- DoF-dependent --- distortion partition --- vision measurement --- pathological site classification --- in vivo endoscopy --- computer-aided diagnosis --- artificial intelligence --- ensemble learning --- convolutional auto-encoders --- local image patch --- point pair feature --- plank recognition --- robotic grasping --- flying object detection --- drone --- image processing --- camera networks --- open-pit mine slope monitoring --- optimum deployment --- close range photogrammetry --- three-dimensional reconstruction --- OCD4M