SOTAVerified

Medical Diagnosis

Medical Diagnosis is the process of identifying the disease a patient is affected by, based on the assessment of specific risk factors, signs, symptoms and results of exams.

Source: A probabilistic network for the diagnosis of acute cardiopulmonary diseases

Papers

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Showing 201–250 of 714 papers

TitleStatusHype
Leveraging the Urysohn Lemma of Topology for an Enhanced Binary ClassifierCode0
A Survey of Reasoning with Foundation ModelsCode2
OpenMedCalc: Augmentation of ChatGPT with Clinician-Informed Tools Improves Performance on Medical Calculation TasksCode0
Q-Segment: Segmenting Images In-Sensor for Vessel-Based Medical Diagnosis—0
How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary InvestigationCode1
Instant Uncertainty Calibration of NeRFs Using a Meta-CalibratorCode0
Methods to Estimate Large Language Model Confidence—0
Security and Privacy Challenges in Deep Learning Models—0
An Empirical Study of Uncertainty Estimation Techniques for Detecting Drift in Data Streams—0
Generating Progressive Images from Pathological Transitions via Diffusion ModelCode1
Energy efficiency in Edge TPU vs. embedded GPU for computer-aided medical imaging segmentation and classification—0
ChatGPT and post-test probability—0
A New Approach to Intuitionistic Fuzzy Decision Making Based on Projection Technology and Cosine Similarity Measure—0
FDDM: Unsupervised Medical Image Translation with a Frequency-Decoupled Diffusion Model—0
Gradient-Map-Guided Adaptive Domain Generalization for Cross Modality MRI SegmentationCode1
A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor DetectionCode1
Uncertainty Quantification of Deep Learning for Spatiotemporal Data: Challenges and Opportunities—0
Towards Calibrated Robust Fine-Tuning of Vision-Language ModelsCode1
Dynamic Multimodal Information Bottleneck for Multimodality ClassificationCode0
Revealing CNN Architectures via Side-Channel Analysis in Dataflow-based Inference Accelerators—0
Histopathological Image Analysis with Style-Augmented Feature Domain Mixing for Improved GeneralizationCode0
Uncertainty Quantification in Machine Learning Based Segmentation: A Post-Hoc Approach for Left Ventricle Volume Estimation in MRI—0
Electrical Impedance Tomography: A Fair Comparative Study on Deep Learning and Analytic-based ApproachesCode1
F^2AT: Feature-Focusing Adversarial Training via Disentanglement of Natural and Perturbed Patterns—0
Diagnosis-oriented Medical Image Compression with Efficient Transfer Learning—0
Using Experience Classification for Training Non-Markovian Tasks—0
Cloud-Magnetic Resonance Imaging System: In the Era of 6G and Artificial Intelligence—0
k-t CLAIR: Self-Consistency Guided Multi-Prior Learning for Dynamic Parallel MR Image ReconstructionCode1
Convolutional Neural Network Model for Diabetic Retinopathy Feature Extraction and ClassificationCode0
Can GPT-4V(ision) Serve Medical Applications? Case Studies on GPT-4V for Multimodal Medical DiagnosisCode1
DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis PredictionCode1
Advancing Diagnostic Precision: Leveraging Machine Learning Techniques for Accurate Detection of Covid-19, Pneumonia, and Tuberculosis in Chest X-Ray Images—0
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image AnalysisCode1
Watch Out! Simple Horizontal Class Backdoor Can Trivially Evade DefenseCode0
Wav2vec-based Detection and Severity Level Classification of Dysarthria from Speech—0
BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor DetectionCode1
When to Trust AI: Advances and Challenges for Certification of Neural Networks—0
Multi-level feature fusion network combining attention mechanisms for polyp segmentation—0
Optimizing Audio Augmentations for Contrastive Learning of Health-Related Acoustic Signals—0
Interpretable Medical Imagery Diagnosis with Self-Attentive Transformers: A Review of Explainable AI for Health Care—0
A Theoretical and Practical Framework for Evaluating Uncertainty Calibration in Object DetectionCode0
ReFuSeg: Regularized Multi-Modal Fusion for Precise Brain Tumour Segmentation—0
Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural ImagesCode1
LLM-Mini-CEX: Automatic Evaluation of Large Language Model for Diagnostic Conversation—0
Learning to Guide Human Experts via Personalized Large Language Models—0
A sparse coding approach to inverse problems with application to microwave tomography—0
RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor DetectionCode1
Defocus Blur Synthesis and Deblurring via Interpolation and Extrapolation in Latent SpaceCode0
Building RadiologyNET: Unsupervised annotation of a large-scale multimodal medical database—0
One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI ReconstructionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DenseNet-161Average Precision0.74—Unverified