AI algorithms can analyze medical images (e.g., X-rays, MRIs, ultrasounds, CT scans, and DXAs) and assist healthcare providers in identifying and diagnosing diseases more accurately and quickly. With the recent AI revolution, medical diagnostics could be improved to revolutionize the field of medical diagnostics by improving the prediction accuracy, speed, and efficiency of the diagnostic process. In addition to helping diagnose medical conditions, medical diagnostics can also be used to monitor the progress of a condition, assess the effectiveness of treatment, and detect potential health problems before they become serious. The results of these tests help healthcare providers determine the best course of treatment for their patients. This can involve various diagnostic tests, such as imaging tests (e.g., X-rays, MRI, CT scans), blood tests, and biopsy procedures. The goal of medical diagnostics is to determine the cause of a medical problem and make an accurate diagnosis to provide effective treatment. Medical diagnostics is the process of evaluating medical conditions or diseases by analyzing symptoms, medical history, and test results.
Finally, we would like to express our deep and warm gratitude and respect to the editorial members working day and night on this Special Issue, providing the recent AI-based research studies to enrich the AI medical knowledge for the fourth industrial revolution. Furthermore, special thanks are extended to all reviewers who helped us to process an article in this Special Issue. We would like to express our gratitude to all authors who contributed to the Special Issue of “ Artificial Intelligence Advances for Medical Computer-Aided Diagnosis” by providing their excellent and recent research findings for AI-based medical diagnosis.
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