Journal of AI in Healthcare and Medicine

Current Issue

Vol. 4 No. 1 (2024)
Published January 1, 2024

The Journal of AI in Healthcare and Medicine (JAIHM) is a peer-reviewed publication dedicated to advancing the theory, applications, and practice of artificial intelligence (AI) in healthcare and medicine. With the rapid growth of healthcare data and the increasing complexity of medical decision-making, JAIHM provides a platform for researchers, clinicians, and industry professionals to explore innovative AI solutions that improve patient care, enhance clinical decision-making, and optimize healthcare delivery. The journal covers a wide range of topics, including medical imaging, diagnostic decision support, electronic health records, predictive modeling, personalized medicine, and healthcare analytics. JAIHM welcomes original research articles, review papers, and case studies that demonstrate the effectiveness and impact of AI technologies in addressing healthcare challenges and improving patient outcomes. By fostering collaboration between AI researchers and healthcare practitioners, JAIHM aims to accelerate the translation of AI innovations into clinical practice and promote the adoption of data-driven approaches to healthcare delivery.

Articles

Leila Rahman (Author)
10-18
AI-Enabled Periodontal Disease Diagnosis and Management
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Santiago Fernandez (Author)
1-9
AI-Enhanced Intensive Care Unit Monitoring and Management
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Svetlana Ivanova (Author)
28-35
Deep Reinforcement Learning for Optimizing Healthcare Resource Allocation
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Ahmed Ibrahim (Author)
19-27
Leveraging Deep Learning Models for Early Detection of Chronic Diseases in Healthcare
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Ramswaroop Reddy Yellu, Yoganandasatish Kukalakunta , Praveen Thunki (Author)
36-44
Deep Learning-Assisted Diagnosis of Alzheimer's Disease from Brain Imaging Data
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Dr Nell Baghaei, Dr Steve Lockey, Prof. Chien-Ming, Dr Emily Chen , Dr Hassan Khosravi (Author)
45-56
Exploring the Epistemological Foundations of Machine Learning Paradigms
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Dr. Hassan Ali (Author)
57-70
Utilizing Predictive Analytics for Lifecycle Management and Maintenance of Medical Equipment: Utilizes machine learning algorithms to predict maintenance needs for medical equipment, reducing downtime and improving operational efficiency in healthcare facilities
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Dr. Hamid Reza Arabnia (Author)
71-82
Machine Learning for Predictive Modeling of Patient Length of Stay in Hospitals: Develops machine learning models to predict the length of hospital stays for patients, optimizing resource allocation and discharge planning in healthcare settings
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Dr. Li Chen (Author)
83-90
Building Trust and Interpretability in Medical AI through Explainable Models: Implements explainable AI techniques to provide transparent explanations for medical diagnoses, enhancing trust and acceptance among healthcare professionals and patients
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Kummaragunta Joel Prabhod (Author)
91-113
Leveraging Generative AI and Foundation Models for Personalized Healthcare: Predictive Analytics and Custom Treatment Plans Using Deep Learning Algorithms
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Sumanth Tatineni, Karthik Allam (Author)
114-151
AI-Driven Continuous Feedback Mechanisms in DevOps for Proactive Performance Optimization and User Experience Enhancement in Software Development
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Dr. Omar Ahmed (Author)
152-159
AI-Enhanced Clinical Trials for Streamlined Drug Discovery and Development Processes
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