Artificial Intelligence for Precision Medicine

About this Research Topic

Background

Frontiers in Artificial Intelligence is pleased to announce this Research Topic, developed in collaboration with the 2020 International Conference of Artificial Intelligence for Precision Medicine at Yale. The research topic will include the best papers presented at the conference and also encourage other contributions that match with the scope of the topic, as outlined below.

Precision medicine is an evolving healthcare approach focused on tailoring medical decisions, treatments, practices and products to individual patients based on genetic, environmental, lifestyle and other factors, i.e., delivering the right treatment to the right patient at the right time. Artificial intelligence (AI) refers to intelligence demonstrated by machines or computers that mimic cognitive func-tions that humans associate with the human mind, such as learning, interpreting, composing and prob-lem solving.

Fueled by advances in computational power, theoretical understanding, and ever-increasing amount of data, the last decade has witnessed widespread applications of AI in every major field of human society, including medicine and healthcare. Broadly speaking, AI can help to realize the promise of preci-sion medicine and modernize healthcare in three major areas: (1) disease prevention, (2) personalized diagnosis, and (3) personalized treatment.

This Research Topic is intended to present some of the state-of-the-art developments of artificial intelligence in precision medicine in recent years as well as practical considerations in applying AI in the modern clinics. In close collaboration with human intelligence, AI technologies can help to usher in more effective and personalized healthcare worldwide. Potential topics include, but are not limited to:

• AI-aided diagnosis and early detection of diseases
• AI-enhanced treatment and delivery
• AI-human interface
• Clinical decision support with AI techniques
• Enhancing patient care via AI applications
• Drug design and discovery via machine learning
• Radiomics and quantitative imaging
• Natural language processing of electronic health records and clinical notes
• Bioinformatics for more effective healthcare
• Innovative AI applications for patient safety

Keywords: precision medicine, individualized healthcare, artificial intelligence, big data, machine learning

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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