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The field of medical imaging is rapidly evolving, with new technologies and techniques constantly emerging. However, this fast-paced advancement brings challenges such as the complexity of imaging modalities, the need for continuous education and training, and the integration of emerging technologies like AI and robotics into existing healthcare systems. Healthcare professionals and technology enthusiasts often need help to keep pace with these changes and may feel overwhelmed by the vast amount of information and possibilities in the field. Enhancing Medical Imaging with Emerging Technologies offers a comprehensive solution to these challenges. By providing a thorough introduction to medica...
A counterintuitive and novel approach to the long-sought goal of subtyping schizophrenia and other psychotic disorders emerges from ongoing research. Five psychosis associated anxiety and depressive subtypes each help define five corresponding psychosis diagnoses, their fixed false beliefs, and most importantly, their treatments. These anxiety and depressive comorbidities have long been long overlooked as an understandable hodgepodge of distressing symptoms caused by the pain of psychosis. But these five comorbidities usually precede onset of the psychosis, and their treatment can significantly improve outcome. So, maybe, the causation is the other way around: maybe they are among the underl...
When it comes to Parkinson's disease, one of the most important issues revolves around early detection and accurate diagnosis. The intricacies of this neurodegenerative disorder often elude timely identification, leaving patients and healthcare providers grappling with its progressive symptoms. Ethical concerns surrounding the use of machine learning to aid in diagnosis further complicate this challenge. This issue is particularly significant for research scholars, PhD fellows, post-doc fellows, and medical and biomedical scholars seeking to unravel the mysteries of Parkinson's disease and develop more effective treatments. Intelligent Technologies and Parkinson’s Disease: Prediction and Diagnosis serves as a beacon of hope in the quest to revolutionize Parkinson's disease diagnosis and treatment. It unveils the remarkable potential of artificial intelligence (AI) and machine learning (ML) in remodeling the way we approach this debilitating condition. With a comprehensive exploration of AI's capacity to analyze speech patterns, brain imaging data, and gait patterns, this book offers a powerful solution to the challenges of early detection and accurate diagnosis.
Bipolar disorder is a chronic and debilitating mental illness affecting a significant proportion of the world's population. It is associated with significant impairments in health-related quality of life and psychosocial functioning, and has significant illness-related morbidity and heightened mortality rates due to medical comorbidities and suicide. The management of this disorder requires a complex combination of pharmacological and psychosocial interventions which can be challenging for clinicians. Written by world experts in the field of bipolar disorder, The Treatment of Bipolar Disorder: Integrative Clinical Strategies and Future Directions provides readers with a concise and comprehen...
As maternal and fetal health complexities increase, so does the need for innovative solutions in prenatal care. Clinical and Comparative Research on Maternal Health presents a comprehensive exploration of recent research findings, addressing critical issues such as the impact of maternal BMI and gestational weight gain on pregnancy outcomes, the efficacy of labor induction techniques, and the use of novel interventions to reduce maternal complications during cesarean births. Through an exploration of these concepts, the book provides healthcare practitioners with evidence-based strategies to enhance prenatal care and improve maternal and neonatal health. A meticulous examination of research ...
In the dynamic environment of healthcare, the fusion of Computational Intelligence and Healthcare Industry 4.0 has enabled remarkable advancements in disease detection and analysis. However, a critical challenge persists – the limitations of current computational intelligence approaches in dealing with small sample sizes. This setback hampers the performance of these innovative models, hindering their potential impact on medical applications. As we stand at the crossroads of technological innovation and healthcare evolution, the need for a solution becomes paramount. Advances in Computational Intelligence for the Healthcare Industry 4.0 is a comprehensive guide addressing the very heart of...
In a world characterized by complexity and rapid change, the intersection of healthcare, social sciences, and technology presents a formidable challenge. The vast array of interconnected issues, ethical dilemmas, and technological advancements often evade comprehensive understanding within individual disciplines. The problem lies in the siloed approach to these critical domains, hindering our ability to navigate the complexities of our modern world effectively. Change Dynamics in Healthcare, Technological Innovations, and Complex Scenarios emerges as a transformative solution, offering a beacon of insight and knowledge to those grappling with the intricate dynamics of our interconnected soci...