Smarter Healthcare via Big Data and Machine Learning

Dear Colleagues,

Healthcare has changed a great deal because of the pandemic, and we have to continue learning from it to prepare for the future.  Additionally, the pandemic seems to have facilitated digital transformation. Artificial intelligence and machine learning offer significant advantages over traditional analytics and clinical decision-making techniques. These techniques help us to gain deep insights into the symptoms and treatment of many diseases. Therefore, in this Special Issue, we aim to collect novel ideas on how AI and ML technologies are playing an essential role in supporting the phases of testing, tracing, and treatment towards forming a smarter healthcare system for everyone.

Submissions to this Special Issue should demonstrate how the application of AI and ML or deep learning extends and broadens clinical decision making in ways that traditional approaches cannot. Additionally, papers discussing the key challenges of transforming healthcare, such as privacy issues, maintaining data confidentiality, and biases in the AI algorithms, will be appreciated. Potential topics include but are not limited to the following:

• Smart applications in the early screening and diagnosis of diseases;
• The application of AI/ML in medical imaging: AI-based algorithms to identify abnormalities in imaging;
• AI/ML in precision medicine/treatment;
• Deep learning in electronic health records (HERs);
• AI-based clinical decision support systems;
• Therapy apps during the pandemic;
• AI tools in telehealth;
• Explainable and interpretable AI in healthcare;
• Federated learning in healthcare;
• Brain data science in health and disease;
• Multi-modal biomedical data science;
• Deep learning applications in 3D point cloud analysis;
• Deep learning applications in medical image segmentation;
• 4D flow MRI analysis;
• Reconstruction 3D structure from diffraction patterns;
• Phase retrieval.

Dr. Maryam S. Mirian
Dr. Abdol-Hossein Vahabie
Dr. Reyhaneh Bakhtiari
Guest Editors

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 100 words) can be sent to the Editorial Office for announcement on this website.

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. Big Data and Cognitive Computing is an international peer-reviewed open access monthly 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 1800 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.

• artificial intelligence (AI)
• machine learning (ML)
• deep learning
• medical imaging
• electronic health record (EHR)
• precision medicine
• personalized healthcare
• clinical decision support system
• AI-based screening system
• federated learning
• point cloud processing