Listing 1 - 6 of 6 |
Sort by
|
Choose an application
This book is a reprint of the Special Issue entitled "The Artificial Intelligence in Digital Pathology and Digital Radiology: Where Are We?". Artificial intelligence is extending into the world of both digital radiology and digital pathology, and involves many scholars in the areas of biomedicine, technology, and bioethics. There is a particular need for scholars to focus on both the innovations in this field and the problems hampering integration into a robust and effective process in stable health care models in the health domain. Many professionals involved in these fields of digital health were encouraged to contribute with their experiences. This book contains contributions from various experts across different fields. Aspects of the integration in the health domain have been faced. Particular space was dedicated to overviewing the challenges, opportunities, and problems in both radiology and pathology. Clinal deepens are available in cardiology, the hystopathology of breast cancer, and colonoscopy. Dedicated studies were based on surveys which investigated students and insiders, opinions, attitudes, and self-perception on the integration of artificial intelligence in this field.
Medical equipment & techniques --- n/a --- eHealth --- medical devices --- mHealth --- digital radiology --- picture archive and communication system --- artificial intelligence --- electronic surveys --- chest CT --- chest radiography --- AI --- radiology --- awareness --- radiographers --- radiologists --- e-health --- m-health --- digital-pathology --- cytology --- histology --- diagnostic pathology --- breast cancer --- bibliometric analysis --- healthcare --- medical imaging --- VOSviewer --- digital-radiology --- artificial-intelligence --- acceptance --- consensus --- information technology --- cardiology --- imaging --- cervical cancer screening --- colposcopy --- deep learning --- machine learning --- medical students --- perceptions --- digitization in medicine
Choose an application
This book is a reprint of the Special Issue entitled "The Artificial Intelligence in Digital Pathology and Digital Radiology: Where Are We?". Artificial intelligence is extending into the world of both digital radiology and digital pathology, and involves many scholars in the areas of biomedicine, technology, and bioethics. There is a particular need for scholars to focus on both the innovations in this field and the problems hampering integration into a robust and effective process in stable health care models in the health domain. Many professionals involved in these fields of digital health were encouraged to contribute with their experiences. This book contains contributions from various experts across different fields. Aspects of the integration in the health domain have been faced. Particular space was dedicated to overviewing the challenges, opportunities, and problems in both radiology and pathology. Clinal deepens are available in cardiology, the hystopathology of breast cancer, and colonoscopy. Dedicated studies were based on surveys which investigated students and insiders, opinions, attitudes, and self-perception on the integration of artificial intelligence in this field.
n/a --- eHealth --- medical devices --- mHealth --- digital radiology --- picture archive and communication system --- artificial intelligence --- electronic surveys --- chest CT --- chest radiography --- AI --- radiology --- awareness --- radiographers --- radiologists --- e-health --- m-health --- digital-pathology --- cytology --- histology --- diagnostic pathology --- breast cancer --- bibliometric analysis --- healthcare --- medical imaging --- VOSviewer --- digital-radiology --- artificial-intelligence --- acceptance --- consensus --- information technology --- cardiology --- imaging --- cervical cancer screening --- colposcopy --- deep learning --- machine learning --- medical students --- perceptions --- digitization in medicine
Choose an application
This book is a reprint of the Special Issue entitled "The Artificial Intelligence in Digital Pathology and Digital Radiology: Where Are We?". Artificial intelligence is extending into the world of both digital radiology and digital pathology, and involves many scholars in the areas of biomedicine, technology, and bioethics. There is a particular need for scholars to focus on both the innovations in this field and the problems hampering integration into a robust and effective process in stable health care models in the health domain. Many professionals involved in these fields of digital health were encouraged to contribute with their experiences. This book contains contributions from various experts across different fields. Aspects of the integration in the health domain have been faced. Particular space was dedicated to overviewing the challenges, opportunities, and problems in both radiology and pathology. Clinal deepens are available in cardiology, the hystopathology of breast cancer, and colonoscopy. Dedicated studies were based on surveys which investigated students and insiders, opinions, attitudes, and self-perception on the integration of artificial intelligence in this field.
Medical equipment & techniques --- eHealth --- medical devices --- mHealth --- digital radiology --- picture archive and communication system --- artificial intelligence --- electronic surveys --- chest CT --- chest radiography --- AI --- radiology --- awareness --- radiographers --- radiologists --- e-health --- m-health --- digital-pathology --- cytology --- histology --- diagnostic pathology --- breast cancer --- bibliometric analysis --- healthcare --- medical imaging --- VOSviewer --- digital-radiology --- artificial-intelligence --- acceptance --- consensus --- information technology --- cardiology --- imaging --- cervical cancer screening --- colposcopy --- deep learning --- machine learning --- medical students --- perceptions --- digitization in medicine
Choose an application
Applications of Medical Physics” is a Special Issue of Applied Sciences that has collected original research manuscripts describing cutting-edge physics developments in medicine and their translational applications. Reviews providing updates on the latest progresses in this field are also included. The collection includes a total of 20 contributions by authors from 9 different countries, which cover several areas of medical physics, spanning from radiation therapy, nuclear medicine, radiology, dosimetry, radiation protection, and radiobiology.
Humanities --- Social interaction --- medical imaging --- radiomics --- tomosynthesis --- acquisition angle --- percutaneous radioablation --- monte carlo dosimetry --- liver lesions --- molecular radiotherapy --- quality assurance --- in vivo dosimetry --- transmission radiation detectors --- whole breast irradiation --- MR-guided radiotherapy --- predictive models --- cervical cancer --- EOS --- conventional radiography --- computed tomography --- radiation dose --- enchondroma --- phantom --- medical worker --- radiological accident --- emergency response --- retrospective dosimetry --- ESR --- EPR --- fingernails --- antioxidant --- GEMPix --- GEMs --- Timepix --- Medipix --- radiation therapy --- hadron therapy --- microdosimetry --- gaseous detectors --- Covid-19 --- chest CT --- lungs --- HU density --- artificial intelligence --- deep learning --- medical physicist --- machine learning --- big data --- radioembolization --- internal dosimetry --- Monte Carlo-based dosimetry --- absorbed dose --- signal–noise ratio --- contrast–noise ratio --- figure of merit --- robust optimization --- high dose rate brachytherapy --- single plan approach --- median absolute deviation --- 99mTc-sestamibi --- breast-specific γ imaging --- breast cancer --- apoptosis --- theragnostic --- esophageal cancer --- neoadjuvant chemoradiation --- squamous cell carcinoma --- epicardial adipose tissue --- machine and deep learning --- partial volume effect --- quantitative analysis --- point spread function --- post-reconstruction-correction-method --- iterative reconstruction algorithms --- ASiR --- ASiR-V --- noise level --- noise spatial uniformity --- in vivo relative dosimetry --- proton --- radiotherapy --- quality controls --- beam monitoring --- nanoparticles --- scintillation --- ionizing energy deposition --- photodynamic therapy --- singlet oxygen --- protontherapy --- RBE --- radiobiology --- Geant4 --- n/a --- signal-noise ratio --- contrast-noise ratio
Choose an application
Applications of Medical Physics” is a Special Issue of Applied Sciences that has collected original research manuscripts describing cutting-edge physics developments in medicine and their translational applications. Reviews providing updates on the latest progresses in this field are also included. The collection includes a total of 20 contributions by authors from 9 different countries, which cover several areas of medical physics, spanning from radiation therapy, nuclear medicine, radiology, dosimetry, radiation protection, and radiobiology.
medical imaging --- radiomics --- tomosynthesis --- acquisition angle --- percutaneous radioablation --- monte carlo dosimetry --- liver lesions --- molecular radiotherapy --- quality assurance --- in vivo dosimetry --- transmission radiation detectors --- whole breast irradiation --- MR-guided radiotherapy --- predictive models --- cervical cancer --- EOS --- conventional radiography --- computed tomography --- radiation dose --- enchondroma --- phantom --- medical worker --- radiological accident --- emergency response --- retrospective dosimetry --- ESR --- EPR --- fingernails --- antioxidant --- GEMPix --- GEMs --- Timepix --- Medipix --- radiation therapy --- hadron therapy --- microdosimetry --- gaseous detectors --- Covid-19 --- chest CT --- lungs --- HU density --- artificial intelligence --- deep learning --- medical physicist --- machine learning --- big data --- radioembolization --- internal dosimetry --- Monte Carlo-based dosimetry --- absorbed dose --- signal–noise ratio --- contrast–noise ratio --- figure of merit --- robust optimization --- high dose rate brachytherapy --- single plan approach --- median absolute deviation --- 99mTc-sestamibi --- breast-specific γ imaging --- breast cancer --- apoptosis --- theragnostic --- esophageal cancer --- neoadjuvant chemoradiation --- squamous cell carcinoma --- epicardial adipose tissue --- machine and deep learning --- partial volume effect --- quantitative analysis --- point spread function --- post-reconstruction-correction-method --- iterative reconstruction algorithms --- ASiR --- ASiR-V --- noise level --- noise spatial uniformity --- in vivo relative dosimetry --- proton --- radiotherapy --- quality controls --- beam monitoring --- nanoparticles --- scintillation --- ionizing energy deposition --- photodynamic therapy --- singlet oxygen --- protontherapy --- RBE --- radiobiology --- Geant4 --- n/a --- signal-noise ratio --- contrast-noise ratio
Choose an application
Applications of Medical Physics” is a Special Issue of Applied Sciences that has collected original research manuscripts describing cutting-edge physics developments in medicine and their translational applications. Reviews providing updates on the latest progresses in this field are also included. The collection includes a total of 20 contributions by authors from 9 different countries, which cover several areas of medical physics, spanning from radiation therapy, nuclear medicine, radiology, dosimetry, radiation protection, and radiobiology.
Humanities --- Social interaction --- medical imaging --- radiomics --- tomosynthesis --- acquisition angle --- percutaneous radioablation --- monte carlo dosimetry --- liver lesions --- molecular radiotherapy --- quality assurance --- in vivo dosimetry --- transmission radiation detectors --- whole breast irradiation --- MR-guided radiotherapy --- predictive models --- cervical cancer --- EOS --- conventional radiography --- computed tomography --- radiation dose --- enchondroma --- phantom --- medical worker --- radiological accident --- emergency response --- retrospective dosimetry --- ESR --- EPR --- fingernails --- antioxidant --- GEMPix --- GEMs --- Timepix --- Medipix --- radiation therapy --- hadron therapy --- microdosimetry --- gaseous detectors --- Covid-19 --- chest CT --- lungs --- HU density --- artificial intelligence --- deep learning --- medical physicist --- machine learning --- big data --- radioembolization --- internal dosimetry --- Monte Carlo-based dosimetry --- absorbed dose --- signal-noise ratio --- contrast-noise ratio --- figure of merit --- robust optimization --- high dose rate brachytherapy --- single plan approach --- median absolute deviation --- 99mTc-sestamibi --- breast-specific γ imaging --- breast cancer --- apoptosis --- theragnostic --- esophageal cancer --- neoadjuvant chemoradiation --- squamous cell carcinoma --- epicardial adipose tissue --- machine and deep learning --- partial volume effect --- quantitative analysis --- point spread function --- post-reconstruction-correction-method --- iterative reconstruction algorithms --- ASiR --- ASiR-V --- noise level --- noise spatial uniformity --- in vivo relative dosimetry --- proton --- radiotherapy --- quality controls --- beam monitoring --- nanoparticles --- scintillation --- ionizing energy deposition --- photodynamic therapy --- singlet oxygen --- protontherapy --- RBE --- radiobiology --- Geant4
Listing 1 - 6 of 6 |
Sort by
|