Applications of Artificial Intelligence and Medical Imaging

Dear Colleagues,

The integration of artificial intelligence (AI) into medical imaging has transformed the landscape of healthcare, enabling more accurate diagnoses, personalized treatment plans, and improved patient outcomes. This Special Issue focuses on the latest advancements in AI-driven medical imaging, with a particular emphasis on ultrasound imaging, multimodal radiomics, and their applications in disease diagnosis and treatment. We aim to assemble cutting-edge research that explores the potential of large foundation models, deep neural networks, and AI techniques to address critical challenges in medical imaging.

This Special Issue welcomes original research articles, comprehensive reviews, and case studies that contribute to the growing body of knowledge in this field. Topics of interest include, but are not limited to, the following:

• Large foundation models for medical image analysis: The development and application of scalable AI models for ultrasound and other imaging modalities.
• Deep neural networks in medical imaging: Innovations in network architectures, training methodologies, and deployment strategies for enhanced diagnostic performance.
• Ultrasound image processing: AI-based techniques for image enhancement, segmentation, and interpretation in ultrasound imaging.
• Global trends in the use of AI in medical imaging: Bibliometric and visualization analyses to identify research trends, challenges, and future directions.
• Ultrasonic medical disease diagnosis and treatment: Intelligent systems for automated diagnosis, treatment planning, and monitoring using ultrasound data.
• Multimodal radiomics with AI techniques: The integration of radiomics and AI for predictive modeling, particularly in prenatal diagnosis and other clinical applications.

Highlighted Topics and Contributions:

This Special Issue will showcase research that addresses key challenges and innovations in AI for medical imaging. The specific areas of focus include the following:

• Recognition of Standard Echocardiographic Cut Planes: AI-driven methods for automating the identification and interpretation of standard echocardiographic views, improving diagnostic accuracy and efficiency.
• Application of and Prospects for Intelligent Diagnosis in Ultrasonic Medical Disease Diagnosis and Treatment: The exploration of AI applications in ultrasound-based diagnosis and treatment, highlighting clinical benefits and future opportunities.
• Deep Learning Approach to Prenatal Diagnosis: Advanced AI techniques for predicting and diagnosing conditions such as placental invasion, leveraging multimodal data for improved prenatal care.

Dr. Tao He
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• large foundation model for medical image analysis
• deep neural networks in medical imaging
• ultrasound image processing
• global trends in the use of AI in medical imaging
• ultrasonic medical disease diagnosis and treatment
• multimodal radiomics with AI technique