Artículos de revistas sobre el tema "Medical XAI"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte los 50 mejores artículos de revistas para su investigación sobre el tema "Medical XAI".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Explore artículos de revistas sobre una amplia variedad de disciplinas y organice su bibliografía correctamente.
Zhang, Yiming, Ying Weng y Jonathan Lund. "Applications of Explainable Artificial Intelligence in Diagnosis and Surgery". Diagnostics 12, n.º 2 (19 de enero de 2022): 237. http://dx.doi.org/10.3390/diagnostics12020237.
Texto completoQian, Jinzhao, Hailong Li, Junqi Wang y Lili He. "Recent Advances in Explainable Artificial Intelligence for Magnetic Resonance Imaging". Diagnostics 13, n.º 9 (27 de abril de 2023): 1571. http://dx.doi.org/10.3390/diagnostics13091571.
Texto completoChaddad, Ahmad, Jihao Peng, Jian Xu y Ahmed Bouridane. "Survey of Explainable AI Techniques in Healthcare". Sensors 23, n.º 2 (5 de enero de 2023): 634. http://dx.doi.org/10.3390/s23020634.
Texto completoAhmed, Saad Bin, Roberto Solis-Oba y Lucian Ilie. "Explainable-AI in Automated Medical Report Generation Using Chest X-ray Images". Applied Sciences 12, n.º 22 (18 de noviembre de 2022): 11750. http://dx.doi.org/10.3390/app122211750.
Texto completoPayrovnaziri, Seyedeh Neelufar, Zhaoyi Chen, Pablo Rengifo-Moreno, Tim Miller, Jiang Bian, Jonathan H. Chen, Xiuwen Liu y Zhe He. "Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review". Journal of the American Medical Informatics Association 27, n.º 7 (17 de mayo de 2020): 1173–85. http://dx.doi.org/10.1093/jamia/ocaa053.
Texto completoWang, Mini Han, Kelvin Kam-lung Chong, Zhiyuan Lin, Xiangrong Yu y Yi Pan. "An Explainable Artificial Intelligence-Based Robustness Optimization Approach for Age-Related Macular Degeneration Detection Based on Medical IOT Systems". Electronics 12, n.º 12 (16 de junio de 2023): 2697. http://dx.doi.org/10.3390/electronics12122697.
Texto completoAntoniadi, Anna Markella, Yuhan Du, Yasmine Guendouz, Lan Wei, Claudia Mazo, Brett A. Becker y Catherine Mooney. "Current Challenges and Future Opportunities for XAI in Machine Learning-Based Clinical Decision Support Systems: A Systematic Review". Applied Sciences 11, n.º 11 (31 de mayo de 2021): 5088. http://dx.doi.org/10.3390/app11115088.
Texto completoPetrauskas, Vytautas, Gyte Damuleviciene, Algirdas Dobrovolskis, Juozas Dovydaitis, Audrone Janaviciute, Raimundas Jasinevicius, Egidijus Kazanavicius, Jurgita Knasiene, Vita Lesauskaite y Agnius Liutke. "XAI-based Medical Decision Support System Model". International Journal of Scientific and Research Publications (IJSRP) 10, n.º 12 (24 de diciembre de 2020): 598–607. http://dx.doi.org/10.29322/ijsrp.10.12.2020.p10869.
Texto completoAlkhalaf, Salem, Fahad Alturise, Adel Aboud Bahaddad, Bushra M. Elamin Elnaim, Samah Shabana, Sayed Abdel-Khalek y Romany F. Mansour. "Adaptive Aquila Optimizer with Explainable Artificial Intelligence-Enabled Cancer Diagnosis on Medical Imaging". Cancers 15, n.º 5 (27 de febrero de 2023): 1492. http://dx.doi.org/10.3390/cancers15051492.
Texto completoSrinivasu, Parvathaneni Naga, N. Sandhya, Rutvij H. Jhaveri y Roshani Raut. "From Blackbox to Explainable AI in Healthcare: Existing Tools and Case Studies". Mobile Information Systems 2022 (13 de junio de 2022): 1–20. http://dx.doi.org/10.1155/2022/8167821.
Texto completoSarp, Salih, Murat Kuzlu, Emmanuel Wilson, Umit Cali y Ozgur Guler. "The Enlightening Role of Explainable Artificial Intelligence in Chronic Wound Classification". Electronics 10, n.º 12 (11 de junio de 2021): 1406. http://dx.doi.org/10.3390/electronics10121406.
Texto completoPumplun, Luisa, Felix Peters, Joshua F. Gawlitza y Peter Buxmann. "Bringing Machine Learning Systems into Clinical Practice: A Design Science Approach to Explainable Machine Learning-Based Clinical Decision Support Systems". Journal of the Association for Information Systems 24, n.º 4 (2023): 953–79. http://dx.doi.org/10.17705/1jais.00820.
Texto completoBoudanga, Zineb, Siham benhadou y Hicham Medromi. "An innovative medical waste management system in a smart city using XAI and vehicle routing optimization". F1000Research 12 (31 de agosto de 2023): 1060. http://dx.doi.org/10.12688/f1000research.138867.1.
Texto completoHolzinger, Andreas. "Explainable AI and Multi-Modal Causability in Medicine". i-com 19, n.º 3 (1 de diciembre de 2020): 171–79. http://dx.doi.org/10.1515/icom-2020-0024.
Texto completoGhnemat, Rawan, Sawsan Alodibat y Qasem Abu Al-Haija. "Explainable Artificial Intelligence (XAI) for Deep Learning Based Medical Imaging Classification". Journal of Imaging 9, n.º 9 (30 de agosto de 2023): 177. http://dx.doi.org/10.3390/jimaging9090177.
Texto completoYiğit, Tuncay, Nilgün Şengöz, Özlem Özmen, Jude Hemanth y Ali Hakan Işık. "Diagnosis of Paratuberculosis in Histopathological Images Based on Explainable Artificial Intelligence and Deep Learning". Traitement du Signal 39, n.º 3 (30 de junio de 2022): 863–69. http://dx.doi.org/10.18280/ts.390311.
Texto completoLötsch, Jörn, Dario Kringel y Alfred Ultsch. "Explainable Artificial Intelligence (XAI) in Biomedicine: Making AI Decisions Trustworthy for Physicians and Patients". BioMedInformatics 2, n.º 1 (22 de diciembre de 2021): 1–17. http://dx.doi.org/10.3390/biomedinformatics2010001.
Texto completoApostolopoulos, Ioannis D. y Peter P. Groumpos. "Fuzzy Cognitive Maps: Their Role in Explainable Artificial Intelligence". Applied Sciences 13, n.º 6 (7 de marzo de 2023): 3412. http://dx.doi.org/10.3390/app13063412.
Texto completoRietberg, Max Tigo, Van Bach Nguyen, Jeroen Geerdink, Onno Vijlbrief y Christin Seifert. "Accurate and Reliable Classification of Unstructured Reports on Their Diagnostic Goal Using BERT Models". Diagnostics 13, n.º 7 (27 de marzo de 2023): 1251. http://dx.doi.org/10.3390/diagnostics13071251.
Texto completoKhanna, Varada Vivek, Krishnaraj Chadaga, Niranajana Sampathila, Srikanth Prabhu, Venkatesh Bhandage y Govardhan K. Hegde. "A Distinctive Explainable Machine Learning Framework for Detection of Polycystic Ovary Syndrome". Applied System Innovation 6, n.º 2 (23 de febrero de 2023): 32. http://dx.doi.org/10.3390/asi6020032.
Texto completoKumar, Ambeshwar, Ramachandran Manikandan, Utku Kose, Deepak Gupta y Suresh C. Satapathy. "Doctor's Dilemma: Evaluating an Explainable Subtractive Spatial Lightweight Convolutional Neural Network for Brain Tumor Diagnosis". ACM Transactions on Multimedia Computing, Communications, and Applications 17, n.º 3s (31 de octubre de 2021): 1–26. http://dx.doi.org/10.1145/3457187.
Texto completoGozzi, Noemi, Edoardo Giacomello, Martina Sollini, Margarita Kirienko, Angela Ammirabile, Pierluca Lanzi, Daniele Loiacono y Arturo Chiti. "Image Embeddings Extracted from CNNs Outperform Other Transfer Learning Approaches in Classification of Chest Radiographs". Diagnostics 12, n.º 9 (28 de agosto de 2022): 2084. http://dx.doi.org/10.3390/diagnostics12092084.
Texto completoAbdelwahab, Youmna, Mohamed Kholief y Ahmed Ahmed Hesham Sedky. "Justifying Arabic Text Sentiment Analysis Using Explainable AI (XAI): LASIK Surgeries Case Study". Information 13, n.º 11 (11 de noviembre de 2022): 536. http://dx.doi.org/10.3390/info13110536.
Texto completoLu, Haohui y Shahadat Uddin. "Explainable Stacking-Based Model for Predicting Hospital Readmission for Diabetic Patients". Information 13, n.º 9 (15 de septiembre de 2022): 436. http://dx.doi.org/10.3390/info13090436.
Texto completoMadanu, Ravichandra, Maysam F. Abbod, Fu-Jung Hsiao, Wei-Ta Chen y Jiann-Shing Shieh. "Explainable AI (XAI) Applied in Machine Learning for Pain Modeling: A Review". Technologies 10, n.º 3 (14 de junio de 2022): 74. http://dx.doi.org/10.3390/technologies10030074.
Texto completoLedziński, Łukasz y Grzegorz Grześk. "Artificial Intelligence Technologies in Cardiology". Journal of Cardiovascular Development and Disease 10, n.º 5 (6 de mayo de 2023): 202. http://dx.doi.org/10.3390/jcdd10050202.
Texto completoFutia, Giuseppe y Antonio Vetrò. "On the Integration of Knowledge Graphs into Deep Learning Models for a More Comprehensible AI—Three Challenges for Future Research". Information 11, n.º 2 (22 de febrero de 2020): 122. http://dx.doi.org/10.3390/info11020122.
Texto completoSingh, Apoorva, Husanbir Pannu y Avleen Malhi. "Explainable information retrieval using deep learning for medical images". Computer Science and Information Systems 19, n.º 1 (2022): 277–307. http://dx.doi.org/10.2298/csis201030049s.
Texto completoOrnek, Ahmet H. y Murat Ceylan. "Explainable Artificial Intelligence (XAI): Classification of Medical Thermal Images of Neonates Using Class Activation Maps". Traitement du Signal 38, n.º 5 (31 de octubre de 2021): 1271–79. http://dx.doi.org/10.18280/ts.380502.
Texto completoTaşcı, Burak. "Attention Deep Feature Extraction from Brain MRIs in Explainable Mode: DGXAINet". Diagnostics 13, n.º 5 (23 de febrero de 2023): 859. http://dx.doi.org/10.3390/diagnostics13050859.
Texto completoDindorf, Carlo, Oliver Ludwig, Steven Simon, Stephan Becker y Michael Fröhlich. "Machine Learning and Explainable Artificial Intelligence Using Counterfactual Explanations for Evaluating Posture Parameters". Bioengineering 10, n.º 5 (24 de abril de 2023): 511. http://dx.doi.org/10.3390/bioengineering10050511.
Texto completoLaios, Alexandros, Evangelos Kalampokis, Racheal Johnson, Sarika Munot, Amudha Thangavelu, Richard Hutson, Tim Broadhead et al. "Factors Predicting Surgical Effort Using Explainable Artificial Intelligence in Advanced Stage Epithelial Ovarian Cancer". Cancers 14, n.º 14 (15 de julio de 2022): 3447. http://dx.doi.org/10.3390/cancers14143447.
Texto completoMukhtorov, Doniyorjon, Madinakhon Rakhmonova, Shakhnoza Muksimova y Young-Im Cho. "Endoscopic Image Classification Based on Explainable Deep Learning". Sensors 23, n.º 6 (16 de marzo de 2023): 3176. http://dx.doi.org/10.3390/s23063176.
Texto completoObayya, Marwa, Nadhem Nemri, Mohamed K. Nour, Mesfer Al Duhayyim, Heba Mohsen, Mohammed Rizwanullah, Abu Sarwar Zamani y Abdelwahed Motwakel. "Explainable Artificial Intelligence Enabled TeleOphthalmology for Diabetic Retinopathy Grading and Classification". Applied Sciences 12, n.º 17 (31 de agosto de 2022): 8749. http://dx.doi.org/10.3390/app12178749.
Texto completoMohammed, K. y G. George. "IDENTIFICATION AND MITIGATION OF BIAS USING EXPLAINABLE ARTIFICIAL INTELLIGENCE (XAI) FOR BRAIN STROKE PREDICTION". Open Journal of Physical Science (ISSN: 2734-2123) 4, n.º 1 (21 de abril de 2023): 19–33. http://dx.doi.org/10.52417/ojps.v4i1.457.
Texto completoPetrauskas, Vytautas, Raimundas Jasinevicius, Egidijus Kazanavicius y Zygimantas Meskauskas. "On the Extension of the XAI-based Medical Diagnostics DSS for the Treatment and Care of Patients". International Journal of Scientific and Research Publications (IJSRP) 11, n.º 11 (12 de noviembre de 2021): 248–53. http://dx.doi.org/10.29322/ijsrp.11.11.2021.p11931.
Texto completoAli, Sikandar, Abdullah, Tagne Poupi Theodore Armand, Ali Athar, Ali Hussain, Maisam Ali, Muhammad Yaseen, Moon-Il Joo y Hee-Cheol Kim. "Metaverse in Healthcare Integrated with Explainable AI and Blockchain: Enabling Immersiveness, Ensuring Trust, and Providing Patient Data Security". Sensors 23, n.º 2 (4 de enero de 2023): 565. http://dx.doi.org/10.3390/s23020565.
Texto completoAbir, Wahidul Hasan, Md Fahim Uddin, Faria Rahman Khanam, Tahia Tazin, Mohammad Monirujjaman Khan, Mehedi Masud y Sultan Aljahdali. "Explainable AI in Diagnosing and Anticipating Leukemia Using Transfer Learning Method". Computational Intelligence and Neuroscience 2022 (27 de abril de 2022): 1–14. http://dx.doi.org/10.1155/2022/5140148.
Texto completoŽlahtič, Bojan, Jernej Završnik, Helena Blažun Vošner, Peter Kokol, David Šuran y Tadej Završnik. "Agile Machine Learning Model Development Using Data Canyons in Medicine: A Step towards Explainable Artificial Intelligence and Flexible Expert-Based Model Improvement". Applied Sciences 13, n.º 14 (19 de julio de 2023): 8329. http://dx.doi.org/10.3390/app13148329.
Texto completoCosta, Yandre M. G., Sergio A. Silva, Lucas O. Teixeira, Rodolfo M. Pereira, Diego Bertolini, Alceu S. Britto, Luiz S. Oliveira y George D. C. Cavalcanti. "COVID-19 Detection on Chest X-ray and CT Scan: A Review of the Top-100 Most Cited Papers". Sensors 22, n.º 19 (26 de septiembre de 2022): 7303. http://dx.doi.org/10.3390/s22197303.
Texto completoHussain, Sardar Mehboob, Domenico Buongiorno, Nicola Altini, Francesco Berloco, Berardino Prencipe, Marco Moschetta, Vitoantonio Bevilacqua y Antonio Brunetti. "Shape-Based Breast Lesion Classification Using Digital Tomosynthesis Images: The Role of Explainable Artificial Intelligence". Applied Sciences 12, n.º 12 (19 de junio de 2022): 6230. http://dx.doi.org/10.3390/app12126230.
Texto completoMaqsood, Sarmad, Robertas Damaševičius y Rytis Maskeliūnas. "Multi-Modal Brain Tumor Detection Using Deep Neural Network and Multiclass SVM". Medicina 58, n.º 8 (12 de agosto de 2022): 1090. http://dx.doi.org/10.3390/medicina58081090.
Texto completoEder, Matthias, Emanuel Moser, Andreas Holzinger, Claire Jean-Quartier y Fleur Jeanquartier. "Interpretable Machine Learning with Brain Image and Survival Data". BioMedInformatics 2, n.º 3 (6 de septiembre de 2022): 492–510. http://dx.doi.org/10.3390/biomedinformatics2030031.
Texto completoChadaga, Krishnaraj, Srikanth Prabhu, Vivekananda Bhat, Niranjana Sampathila, Shashikiran Umakanth y Rajagopala Chadaga. "A Decision Support System for Diagnosis of COVID-19 from Non-COVID-19 Influenza-like Illness Using Explainable Artificial Intelligence". Bioengineering 10, n.º 4 (31 de marzo de 2023): 439. http://dx.doi.org/10.3390/bioengineering10040439.
Texto completoElbagoury, Bassant M., Luige Vladareanu, Victor Vlădăreanu, Abdel Badeeh Salem, Ana-Maria Travediu y Mohamed Ismail Roushdy. "A Hybrid Stacked CNN and Residual Feedback GMDH-LSTM Deep Learning Model for Stroke Prediction Applied on Mobile AI Smart Hospital Platform". Sensors 23, n.º 7 (27 de marzo de 2023): 3500. http://dx.doi.org/10.3390/s23073500.
Texto completoHashimi, Saeed M., Guozhong Huang, Anthony Maxwell y Robert G. Birch. "DNA Gyrase from the Albicidin Producer Xanthomonas albilineans Has Multiple-Antibiotic-Resistance and Unusual Enzymatic Properties". Antimicrobial Agents and Chemotherapy 52, n.º 4 (11 de febrero de 2008): 1382–90. http://dx.doi.org/10.1128/aac.01551-07.
Texto completoRuiz Torres, Santiago. "El rito romano en la Segovia medieval: catalogación y análisis de unos fragmentos litúrgicos (siglos XII-XVI)". Hispania Sacra 62, n.º 126 (26 de octubre de 2010): 407–55. http://dx.doi.org/10.3989/hs.2010.v62.i126.254.
Texto completoWatly, Joanna, Aleksandra Hecel, Paulina Kolkowska, Henryk Kozlowski y Magdalena Rowinska-Zyrek. "Poly-Xaa Sequences in Proteins - Biological Role and Interactions with Metal Ions: Chemical and Medical Aspects". Current Medicinal Chemistry 25, n.º 1 (22 de enero de 2018): 22–48. http://dx.doi.org/10.2174/0929867324666170428104928.
Texto completoSingh, Nripendra Vikram, Jyotsana Sharma, Manjushri Dinkar Dongare, Ramakant Gharate, Shivkumar Chinchure, Manjunatha Nanjundappa, Shilpa Parashuram et al. "In Vitro and In Planta Antagonistic Effect of Endophytic Bacteria on Blight Causing Xanthomonas axonopodis pv. punicae: A Destructive Pathogen of Pomegranate". Microorganisms 11, n.º 1 (20 de diciembre de 2022): 5. http://dx.doi.org/10.3390/microorganisms11010005.
Texto completoNgolet, L. O., M. Moyen Engoba, Innocent Kocko, Alexis Elira Dokekias, Jean-Vivien Mombouli y Georges Marius Moyen. "Sickle-Cell Disease Healthcare Cost in Africa: Experience of the Congo". Anemia 2016 (2016): 1–5. http://dx.doi.org/10.1155/2016/2046535.
Texto completo