Artificial Intelligence Advances for Medical Computer-Aided Diagnosis
This Special Issue, "Artificial Intelligence Advances for Medical Computer-Aided Diagnosis," explores the transformative role of AI and ML in modern diagnostics. Featuring contributions from leading researchers, this collection highlights innovative algorithms, models, and applications that enhance...
Sábháilte in:
| Formáid: | Online |
|---|---|
| Teanga: | Béarla |
| Foilsithe / Cruthaithe: |
MDPI - Multidisciplinary Digital Publishing Institute
2024
|
| Ábhair: | |
| Rochtain ar líne: | ONIX_20240906_9783725816446_144 |
| Clibeanna: |
Níl clibeanna ann, Bí ar an gcéad duine le clib a chur leis an taifead seo!
|
| _version_ | 1869531049878355968 |
|---|---|
| collection | Directory of Open Access Books |
| description | This Special Issue, "Artificial Intelligence Advances for Medical Computer-Aided Diagnosis," explores the transformative role of AI and ML in modern diagnostics. Featuring contributions from leading researchers, this collection highlights innovative algorithms, models, and applications that enhance diagnostic accuracy, speed, and predictive power across various medical fields, including radiology, pathology, genomics, and personalized medicine. This issue includes 12 articles, spanning theoretical advancements, algorithm development, and practical implementations, showcasing the broad impact and future potential of AI-driven diagnostics. Each contribution offers unique insights into overcoming current challenges, improving clinical decision-making, and ultimately enhancing patient outcomes. This compilation serves as a valuable resource for researchers, clinicians, and technologists, fostering further innovation and collaboration in advancing medical diagnostics. Join us in exploring the latest breakthroughs and future directions in AI-driven healthcare, as we strive to improve diagnostic accuracy and efficiency for better patient care. |
| format | Online |
| id | doab-20.500.12854ir-143782 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1437822024-09-06T08:25:02Z Artificial Intelligence Advances for Medical Computer-Aided Diagnosis Al-antari, Mugahed A. n/a magnetic resonance imaging (MRI) medical image reconstruction deep learning conditional generative adversarial networks (CGANs) parallel imaging hybrid spatial and k-space loss function disease severity machine learning Parkinson’s disease diabetic retinopathy Alzheimer’s disease CNN MSC artificial intelligence image classification monkeypox disease knee OA detection DenseNet169 early stopping self-adaptive GCE medical image breast cancer diagnoses classification Parkinson’s disease (PD) filter feature selection ensemble learning genetic selection decision support system medical diagnosis influenza stuttering detection systematic review rehabilitation ChatGPT KARA-CXR chest X-ray LLM cardiovascular diseases disease detection heart diseases XGBoost bank of features coronary angiograms evolutionary algorithm feature selection K-nearest neighbor stenosis classification thema EDItEUR::M Medicine and Nursing::MK Medical specialties, branches of medicine::MKG Pharmacology::MKGW Psychopharmacology This Special Issue, "Artificial Intelligence Advances for Medical Computer-Aided Diagnosis," explores the transformative role of AI and ML in modern diagnostics. Featuring contributions from leading researchers, this collection highlights innovative algorithms, models, and applications that enhance diagnostic accuracy, speed, and predictive power across various medical fields, including radiology, pathology, genomics, and personalized medicine. This issue includes 12 articles, spanning theoretical advancements, algorithm development, and practical implementations, showcasing the broad impact and future potential of AI-driven diagnostics. Each contribution offers unique insights into overcoming current challenges, improving clinical decision-making, and ultimately enhancing patient outcomes. This compilation serves as a valuable resource for researchers, clinicians, and technologists, fostering further innovation and collaboration in advancing medical diagnostics. Join us in exploring the latest breakthroughs and future directions in AI-driven healthcare, as we strive to improve diagnostic accuracy and efficiency for better patient care. 2024-09-06T08:24:56Z 2024-09-06T08:24:56Z 2024 book ONIX_20240906_9783725816446_144 9783725816446 9783725816439 https://directory.doabooks.org/handle/20.500.12854/143782 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/9519 https://mdpi.com/books/pdfview/book/9519 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-1643-9 10.3390/books978-3-7258-1643-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725816446 9783725816439 open access |
| spellingShingle | n/a magnetic resonance imaging (MRI) medical image reconstruction deep learning conditional generative adversarial networks (CGANs) parallel imaging hybrid spatial and k-space loss function disease severity machine learning Parkinson’s disease diabetic retinopathy Alzheimer’s disease CNN MSC artificial intelligence image classification monkeypox disease knee OA detection DenseNet169 early stopping self-adaptive GCE medical image breast cancer diagnoses classification Parkinson’s disease (PD) filter feature selection ensemble learning genetic selection decision support system medical diagnosis influenza stuttering detection systematic review rehabilitation ChatGPT KARA-CXR chest X-ray LLM cardiovascular diseases disease detection heart diseases XGBoost bank of features coronary angiograms evolutionary algorithm feature selection K-nearest neighbor stenosis classification thema EDItEUR::M Medicine and Nursing::MK Medical specialties, branches of medicine::MKG Pharmacology::MKGW Psychopharmacology Artificial Intelligence Advances for Medical Computer-Aided Diagnosis |
| title | Artificial Intelligence Advances for Medical Computer-Aided Diagnosis |
| title_full | Artificial Intelligence Advances for Medical Computer-Aided Diagnosis |
| title_fullStr | Artificial Intelligence Advances for Medical Computer-Aided Diagnosis |
| title_full_unstemmed | Artificial Intelligence Advances for Medical Computer-Aided Diagnosis |
| title_short | Artificial Intelligence Advances for Medical Computer-Aided Diagnosis |
| title_sort | artificial intelligence advances for medical computer aided diagnosis |
| topic | n/a magnetic resonance imaging (MRI) medical image reconstruction deep learning conditional generative adversarial networks (CGANs) parallel imaging hybrid spatial and k-space loss function disease severity machine learning Parkinson’s disease diabetic retinopathy Alzheimer’s disease CNN MSC artificial intelligence image classification monkeypox disease knee OA detection DenseNet169 early stopping self-adaptive GCE medical image breast cancer diagnoses classification Parkinson’s disease (PD) filter feature selection ensemble learning genetic selection decision support system medical diagnosis influenza stuttering detection systematic review rehabilitation ChatGPT KARA-CXR chest X-ray LLM cardiovascular diseases disease detection heart diseases XGBoost bank of features coronary angiograms evolutionary algorithm feature selection K-nearest neighbor stenosis classification thema EDItEUR::M Medicine and Nursing::MK Medical specialties, branches of medicine::MKG Pharmacology::MKGW Psychopharmacology |
| topic_facet | n/a magnetic resonance imaging (MRI) medical image reconstruction deep learning conditional generative adversarial networks (CGANs) parallel imaging hybrid spatial and k-space loss function disease severity machine learning Parkinson’s disease diabetic retinopathy Alzheimer’s disease CNN MSC artificial intelligence image classification monkeypox disease knee OA detection DenseNet169 early stopping self-adaptive GCE medical image breast cancer diagnoses classification Parkinson’s disease (PD) filter feature selection ensemble learning genetic selection decision support system medical diagnosis influenza stuttering detection systematic review rehabilitation ChatGPT KARA-CXR chest X-ray LLM cardiovascular diseases disease detection heart diseases XGBoost bank of features coronary angiograms evolutionary algorithm feature selection K-nearest neighbor stenosis classification thema EDItEUR::M Medicine and Nursing::MK Medical specialties, branches of medicine::MKG Pharmacology::MKGW Psychopharmacology |
| url | ONIX_20240906_9783725816446_144 |