LEADER 06973nam 22007335 450 001 9910878044503321 005 20251225202223.0 010 $a9783031665356$b(electronic bk.) 010 $z9783031665349 024 7 $a10.1007/978-3-031-66535-6 035 $a(MiAaPQ)EBC31569897 035 $a(Au-PeEL)EBL31569897 035 $a(CKB)33469066000041 035 $a(DE-He213)978-3-031-66535-6 035 $a(EXLCZ)9933469066000041 100 $a20240727d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence in Medicine $e22nd International Conference, AIME 2024, Salt Lake City, UT, USA, July 9?12, 2024, Proceedings, Part II /$fedited by Joseph Finkelstein, Robert Moskovitch, Enea Parimbelli 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (387 pages) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v14845 311 08$aPrint version: Finkelstein, Joseph Artificial Intelligence in Medicine Cham : Springer,c2024 9783031665349 327 $a -- Medical imaging analysis. -- 3T to 7T Whole Brain + Skull MRI Translation with Densely Engineered U-Net Network. -- A Sparse Convolutional Autoencoder for Joint Feature Extraction and Clustering of Metastatic Prostate Cancer Images. -- AI in Neuro-Oncology: Predicting EGFR Amplification in Glioblastoma from Whole Slide Images using Weakly Supervised Deep Learning. -- An Exploration of Diabetic Foot Osteomyelitis X-ray Data for Deep Learning Applications. -- Automated Detection and Characterization of Small Cell Lung Cancer Liver Metastases on CT. -- Content-Based Medical Image Retrieval for Medical Radiology Images. -- Cross-Modality Synthesis of T1c MRI from Non-Contrast Images Using GANs: Implications for Brain Tumor Research. -- Harnessing the Power of Graph Propagation in Lung Nodule Detection. -- Histology Image Artifact Restoration with Lightweight Transformer and Diffusion Model. -- Improved Glioma Grade Prediction with Mean Image Transformation. -- Learning to Predict the Optimal Template in Stain Normalization For Histology Image Analysis. -- MRI Brain Cancer Image Detection Application of an Integrated U-Net and ResNet50 Architecture. -- MRI Scan Synthesis Methods based on Clustering and Pix2Pix. -- Supervised Pectoral Muscle Removal in Mammography Images. -- TinySAM-Med3D: A Lightweight Segment Anything Model for Volumetric Medical Imaging with Mixture of Experts. -- Towards a Formal Description of Artificial Intelligence Models and Datasets in Radiology. -- Towards Aleatoric and Epistemic Uncertainty in Medical Image Classification. -- Ultrasound Image Segmentation via a Multi-Scale Salient Network. -- Data integration and multimodal analysis. -- A 360-Degree View for Large Language Models: Early Detection of Amblyopia in Children using Multi-View Eye Movement Recordings. -- Enhancing Anti-VEGF Response Prediction in Diabetic Macular Edema through OCT Features and Clinical Data Integration based on Deep Learning. -- Expert Insight-Enhanced Follow-up Chest X-Ray Summary Generation. -- Integrating multimodal patient data into attention-based graph networks for disease risk prediction. -- Integrative analysis of amyloid imaging and genetics reveals subtypes of Alzheimer progression in early stage. -- Modular Quantitative Temporal Transformer for Biobank-scale Unified Representations. -- Multimodal Fusion of Echocardiography and Electronic Health Records for the Detection of Cardiac Amyloidosis. -- Multi-View $k$-Nearest Neighbor Graph Contrastive Learning on Multi-Modal Biomedical Data. -- Quasi-Orthogonal ECG-Frank XYZ Transformation with Energy-based models and clinical text. -- Explainable AI. -- Do you trust your model explanations? An analysis of XAI performance under dataset shift. -- Explainable AI for Fair Sepsis Mortality Predictive Model. -- Explanations of Augmentation Methods For Deep Learning ECG Classification. -- Exploring the possibility of arrhythmia interpretation of time domain ECG using XAI: a preliminary study. -- Improving XAI Explanations for Clinical Decision-Making ? Physicians? Perspective on Local Explanations in Healthcare. -- Manually-Curated Versus LLM-Generated Explanations for Complex Patient Cases: An Exploratory Study with Physicians. -- On Identifying Effective Investigations with Feature Finding using Explainable AI: an Ophthalmology Case Study. -- Towards Interactive and Interpretable Image Retrieval-Based Diagnosis: Enhancing Brain Tumor Classification with LLM Explanations and Latent Structure Preservation. -- Towards Trustworthy AI in Cardiology: A Comparative Analysis of Explainable AI Methods for Electrocardiogram Interpretation. 330 $aThis two-volume set LNAI 14844-14845 constitutes the refereed proceedings of the 22nd International Conference on Artificial Intelligence in Medicine, AIME 2024, held in Salt Lake City, UT, USA, during July 9-12, 2024. The 54 full papers and 22 short papers presented in the book were carefully reviewed and selected from 335 submissions. The papers are grouped in the following topical sections: Part I: Predictive modelling and disease risk prediction; natural language processing; bioinformatics and omics; and wearable devices, sensors, and robotics. Part II: Medical imaging analysis; data integration and multimodal analysis; and explainable AI. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v14845 606 $aArtificial intelligence 606 $aEducation$xData processing 606 $aComputer networks 606 $aDatabase management 606 $aData mining 606 $aApplication software 606 $aArtificial Intelligence 606 $aComputers and Education 606 $aComputer Communication Networks 606 $aDatabase Management 606 $aData Mining and Knowledge Discovery 606 $aComputer and Information Systems Applications 615 0$aArtificial intelligence. 615 0$aEducation$xData processing. 615 0$aComputer networks. 615 0$aDatabase management. 615 0$aData mining. 615 0$aApplication software. 615 14$aArtificial Intelligence. 615 24$aComputers and Education. 615 24$aComputer Communication Networks. 615 24$aDatabase Management. 615 24$aData Mining and Knowledge Discovery. 615 24$aComputer and Information Systems Applications. 676 $a006.3 700 $aFinkelstein$b Joseph$0568585 701 $aMoskovitch$b Robert$01753299 701 $aParimbelli$b Enea$01753300 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910878044503321 996 $aArtificial Intelligence in Medicine$94189147 997 $aUNINA