Machine Learning and Artificial Intelligence in Diagnostics
A section of Diagnostics (ISSN 2075-4418).
Section Information
Topics include, but are not limited to:
Artificial intelligence
Deep learning and machine learning
Computer-assisted diagnosis
Clinical decision support system
Medical informatics
Health information technology
Artificial neural networks
Medical algorithm
Decision trees
Big data
Biomedical image analysis
Tumour segmentation
Radiomics
Editorial Board
Topical Advisory Panel
Special Issues
Following special issues within this section are currently open for submissions:
- Advances in Computer-Aided Segmentation, Detection, and Classification of Nuclei in Histological Images (Deadline: 31 March 2023)
- Artificial Intelligence in Cardiology-Volume 2 (Deadline: 31 March 2023)
- AI-Based COVID-19 Detection (Deadline: 31 March 2023)
- Radiomics and Machine Learning in Disease Diagnosis (Deadline: 31 March 2023)
- Artificial Intelligence in the Detection and Classification of Skin Diseases (Deadline: 31 March 2023)
- Deep Learning in Cardiology (Deadline: 31 March 2023)
- Deep Learning for Medical Image Analysis in Gastrointestinal Endoscopy (Deadline: 31 March 2023)
- Artificial Intelligence in Medical Signal Processing and Analysis (Deadline: 31 March 2023)
- AI/ML-Based Medical Image Processing and Analysis (Deadline: 31 March 2023)
- Machine Learning-Based Digital Imaging Diagnosis (Deadline: 31 March 2023)
- Artificial Intelligence in Clinical Medical Imaging Analysis (Deadline: 30 April 2023)
- Machine Learning in Craniofacial Imaging (Deadline: 30 April 2023)
- Computer Aided Diagnosis in Skin Cancer (Deadline: 30 April 2023)
- Advanced Artificial Intelligence in Medical Diagnostics and Treatment (Deadline: 30 April 2023)
- Data Analysis in Ophthalmic Diagnostics (Deadline: 30 April 2023)
- Machine Learning in Obstetrics and Gynecology Diagnosis (Deadline: 30 April 2023)
- Artificial Intelligence and Robotics in Interventional Radiology (Deadline: 30 April 2023)
- Deep Learning Applications in Ophthalmology (Deadline: 30 April 2023)
- Medical Data Processing and Analysis (Deadline: 30 April 2023)
- Editorial Board Members’ Collection Series in “Computer-Aided Diagnosis and Prognosis of Diseases” (Deadline: 30 April 2023)
- Radiomics and Machine Learning Models for Oncological Clinical Applications (Deadline: 20 May 2023)
- Advances in Biomedical and Dental Diagnostics Using Artificial Intelligence (Deadline: 30 May 2023)
- Artificial Intelligence Technology in Clinical Classification and Prediction (Deadline: 31 May 2023)
- Artificial Intelligence in Orthopedic Surgery and Sport Medicine (Deadline: 31 May 2023)
- Artificial Intelligence in Gastrointestinal Disease: Diagnosis and Management—2nd Volume (Deadline: 31 May 2023)
- The Potential for Artificial Intelligence in Medical Imaging Diagnosis (Deadline: 31 May 2023)
- Artificial Intelligence in Biomedical Informatics (Deadline: 31 May 2023)
- Diagnostic AI and COVID-19 (Deadline: 31 May 2023)
- Advances in Machine Learning for Computer-Aided Diagnosis in Biomedical Imaging (Deadline: 31 May 2023)
- Recent Advances in Radiomics, Neuroimaging, and Artificial Intelligence (Deadline: 31 May 2023)
- Role of Artificial Intelligence from the Diagnosis to the Treatment of Renal Cancer: Imaging, Histology and Beyond (Deadline: 31 May 2023)
- Artificial Intelligence in Cardiovascular Diseases (Deadline: 31 May 2023)
- Diagnostic AI and Cardiac Diseases (Deadline: 31 May 2023)
- Medical Image Analysis: Current and Future Trends (Deadline: 31 May 2023)
- Application of Deep Learning in the Diagnosis of Brain Diseases (Deadline: 31 May 2023)
- Advanced Computer Aided Robotic Radiosurgery (Deadline: 31 May 2023)
- AI as a Tool to Improve Hybrid Imaging in Cancer—Volume 2 (Deadline: 31 May 2023)
- Smart Integrated Medical Diagnosis Utilizing AI and IoT (Deadline: 31 May 2023)
- Artificial Intelligence in Medicine 2023 (Deadline: 31 May 2023)
- Advances in the Diagnosis of Chronic Kidney Diseases (Deadline: 31 May 2023)
- Deep Learning for Early Detection of Cancer (Deadline: 31 May 2023)
- Artificial Intelligence in Pathological Image Analysis—Volume 2 (Deadline: 31 May 2023)
- Artificial Intelligence and Machine Learning for Infectious Diseases (Deadline: 31 May 2023)
- Machine Learning in Precise and Personalized Diagnosis (Deadline: 31 May 2023)
- Artificial Intelligence and Radiation Oncology (Deadline: 6 June 2023)
- Artificial Intelligence for Magnetic Resonance Imaging (Deadline: 10 June 2023)
- Biomedical Signal Processing for the Diagnosis and Monitoring of Neurological Disorders (Deadline: 30 June 2023)
- Artificial Intelligence Applications on Musculoskeletal Imaging (Deadline: 30 June 2023)
- Artificial Intelligence (AI) and Machine Learning (ML) Applications Related to Biomedical and Healthcare Industries (Deadline: 30 June 2023)
- The Fuzzy Logic Approaches to Medical Diagnosis (Deadline: 30 June 2023)
- Advanced Image and Video Analytics for Biomedical Applications (Deadline: 30 June 2023)
- Predictive Modelling in Healthcare (Deadline: 30 June 2023)
- Intelligent Imaging in Nuclear Medicine (Deadline: 30 June 2023)
- Artificial Intelligence in Retinal Diseases (Deadline: 30 June 2023)
- Deep Learning-Based Models for Medical Imaging Diagnosis (Deadline: 30 June 2023)
- Medical Image Processing and Analysis (Deadline: 30 June 2023)
- Artificial Intelligence Approaches for Medical Diagnostics in Europe (Deadline: 30 June 2023)
- Biomedical Sensing and Imaging Technology (Deadline: 20 July 2023)
- Machine Learning Models in Diagnosis and Treatment of Diabetes (Deadline: 30 July 2023)
- Artificial Intelligence in Human Diseases: New Advances and Future Trends (Deadline: 30 July 2023)
- Diagnosing Impaired Gas Exchange Using Machine Learning (Deadline: 31 July 2023)
- Application of AI in Diagnosis of Colorectal Cancer (Deadline: 31 July 2023)
- Computer-Assisted Digital Pathology in Diagnostics (Deadline: 31 July 2023)
- Application of Deep Learning in Medical Ultrasound (Deadline: 31 July 2023)
- Deformable Image Registration and Image Segmentation for Radiation Therapy (Deadline: 31 July 2023)
- Deep Learning Applications in Healthcare Wearable Devices (Deadline: 31 July 2023)
- Artificial Intelligence in Clinical Decision Support (Deadline: 31 July 2023)
- Artificial Intelligence in Brain Diseases (Deadline: 31 July 2023)
- Machine Learning in Signal and Image Analysis for Biomedical Application (Deadline: 31 July 2023)
- Advances and Challenges in Understanding Microbial Pathogenesis through Systems Biology and Artificial Intelligence (Deadline: 31 July 2023)
- Machine Learning in Radiomics: Opportunities and Challenges (Deadline: 31 July 2023)
- Biomedical Signal Processing and Analysis (Deadline: 31 July 2023)
- Deep Disease Detection and Diagnosis Models (Deadline: 31 July 2023)
- Artificial Intelligence in Colorectal Disease (Deadline: 31 July 2023)
- The Advanced Role of Artificial Intelligence in Personalized Disease Classification and Evaluation (Deadline: 31 July 2023)
- Diagnosis of Sleep Disorders Using Machine Learning Approaches (Deadline: 30 August 2023)
- Biostatistics in Diagnostic Medicine (Deadline: 30 August 2023)
- Application of Artificial Intelligence in Early Breast Cancer Detection (Deadline: 30 August 2023)
- Artificial Intelligence and Pattern Recognition Methods for the Automatic Detection and Evaluation of Neurological Disorders (Deadline: 31 August 2023)
- Artificial Intelligence Applications in the Diagnosis and Prevention of Hospital-Acquired Infections (Deadline: 31 August 2023)
- Artificial Intelligence in Health Monitoring and Diagnosis: AI Meets Conventional Models (Deadline: 31 August 2023)
- Applications of Artificial Intelligence in Thoracic Imaging (Deadline: 31 August 2023)
- Artificial Intelligence Applications for the Diagnosis of Medical Parasites and Arthropods (Deadline: 31 August 2023)
- The Advanced Role of Artificial Intelligence in Computed Tomography (CT) (Deadline: 31 August 2023)
- Application of Artificial Intelligence to Advance Individualized Diagnosis and Treatment in Emergency and Critical Care Medicine (Deadline: 31 August 2023)
- Medical Diagnostic Systems Based on Advancing Artificial Intelligence Concepts (Deadline: 31 August 2023)
- Artificial Intelligence in Alzheimer’s Disease Diagnosis (Deadline: 31 August 2023)
- Classification of Diseases Using Machine Learning Algorithms (Deadline: 31 August 2023)
- AI and Big Data in Healthcare (Deadline: 31 August 2023)
- Computerized Decision Support Systems for Lung Ventilation (Deadline: 31 August 2023)
- Deep Learning in Medical Images for Gastrointestinal Cancers: Advanced Diagnosis and Prediction (Deadline: 31 August 2023)
- Artificial Intelligence in Cardiovascular Medicine (Deadline: 31 August 2023)
- Computer-Assisted Diagnosis and Management for Traumatic Brain Injury and Stroke (Deadline: 31 August 2023)
- Artificial Intelligence for Advanced Analysis in PET Imaging (Deadline: 31 August 2023)
- Advances in Medical Image Processing, Segmentation and Classification (Deadline: 31 August 2023)
- Artificial Intelligence in Neuroimaging for Diagnosis (Deadline: 1 September 2023)
- Applications of Artificial Intelligence in Healthcare Monitoring (Deadline: 30 September 2023)
- Explainable Artificial Intelligence for Trustworthy Machine Learning and Deep Learning Models in Healthcare (Deadline: 30 September 2023)
- Artificial Intelligence in Lung Diseases 2.0 (Deadline: 30 September 2023)
- Computational Intelligence in Multi-Omics Aiding Early Diagnosis (Deadline: 30 September 2023)
- Role of Artificial Intelligence and Machine Learning in Haematology (Deadline: 30 September 2023)
- Deep Learning Models for Medical Imaging Processing (Deadline: 30 September 2023)
- Artificial Intelligence in Dental Medicine (Deadline: 31 October 2023)
- Artificial Intelligence in Cancers (Deadline: 31 October 2023)
- Artificial Intelligence in Medical Image Processing and Disease Diagnosis (Deadline: 31 October 2023)
- Quantitative and Intelligent Analysis of Medical Imaging—Volume 2 (Deadline: 30 November 2023)
- Impact of Deep Learning in Biomedical Engineering (Deadline: 15 December 2023)
- Deep Learning in Oncological Image Analysis (Deadline: 20 December 2023)
- AI-Driven Intelligent Health Care Diagnostic Solutions: A Machine Learning Approach (Deadline: 31 December 2023)
- Lesion Detection and Analysis Using Artificial Intelligence-Volume 2 (Deadline: 31 December 2023)
- Machine Extractable Knowledge from the Shape of Anatomical Structures (Deadline: 31 December 2023)
- Machine Learning Applications for COVID-19 and Its Complications: Screening, Diagnosis, Treatment, and Prognosis—Volume 2 (Deadline: 31 December 2023)
- Medical Data Processing and Analysis—Volume 2 (Deadline: 31 December 2023)
- The Impact of Artificial Intelligence in the New Trends of Non-invasive Biomarkers (Deadline: 31 December 2023)
- Artificial Intelligence for Precision Analysis and Decision Making in Medical Imaging (Deadline: 12 July 2025)
Topical Collection
Following topical collection within this section is currently open for submissions:
