Artificial Intelligence for Better Healthcare and Precision Medicine, 2nd Edition
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biosignal Processing".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 42
Special Issue Editor
Interests: medical informatics; clinical decision support system; knowledge graph; clinical data privacy computing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial Intelligence (AI) has emerged as a disruptive technology in healthcare and precision medicine, offering immense potential to revolutionize the field. With the growing availability of patient data and the increasing complexity of medical decision-making processes, AI presents opportunities to enhance patient care, improve treatment outcomes, and facilitate precision medicine approaches. This Special Issue explores the applications of AI in healthcare and precision medicine, highlighting its impact on disease diagnosis, treatment selection, medical imaging, drug discovery, and healthcare resource management.
Disease Diagnosis and Prognosis:
AI algorithms excel in analyzing large and diverse datasets, enabling accurate disease identification, risk assessment, and prognostic predictions. By leveraging machine learning techniques, AI systems can analyze electronic health records, genomic data, and sensor readings, facilitating early detection, precise diagnoses, and personalized prognosis for various diseases.
Treatment Selection and Optimization:
AI algorithms assist healthcare professionals in selecting the most effective treatment strategies for individual patients. By integrating patient-specific data with clinical guidelines and medical knowledge, AI systems can provide tailored and evidence-based treatment recommendations, leading to improved outcomes and minimized adverse effects.
Medical Imaging and Diagnostics:
AI has transformed medical imaging interpretation by enabling the automated analysis of radiological images. Deep learning algorithms can detect anomalies, identify patterns, and assist in the early detection of diseases such as cancer. This enhances the accuracy of diagnoses, reduces human error, and speeds up the interpretation process.
Drug Discovery and Development:
AI accelerates the drug discovery and development process by expediting the analysis of vast chemical and biological datasets. Machine learning algorithms can predict drug–target interactions, identify potential drug candidates, and optimize drug design, helping researchers and pharmaceutical companies convey new therapies to the market more rapidly.
Healthcare Resource Management:
AI plays a crucial role in optimizing healthcare resource utilization, improving efficiency, and reducing costs. AI algorithms can analyze patient data, predict disease trends, optimize hospital workflows, and assist in resource allocation, ensuring that healthcare resources are allocated effectively and equitably based on patient needs.
Large language models for better healthcare:
Large language models are a type of deep learning-based AI technology that can understand and generate natural language to enable intelligent interaction with medical data and human users. Large language models have broad prospects and potential in clinical applications (such as clinical “Q&A” and clinical text analysis) and can help doctors and patients improve medical quality and efficiency.
Overall, this Special Issue explores the potential of AI to transform healthcare and precision medicine by leveraging vast amounts of data and sophisticated algorithms. From disease diagnosis and treatment selection to medical imaging analysis and drug discovery, AI-driven solutions have the capacity to improve patient care, enhance precision medicine approaches, and optimize healthcare resource management. While there are challenges and ethical considerations to address, the integration of AI in healthcare holds great promise for enabling enhanced patient outcomes, improved efficiency, and personalized care.
Dr. Yu Tian
Guest Editor
Manuscript Submission Information
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Keywords
- artificial intelligence
- healthcare
- precision medicine
- disease diagnosis
- prognosis
- drug discovery
- personalized treatment selection
- healthcare resource management
- large language models
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