In the healthcare industry, AI is already changing patients’ experiences, how clinicians practice medicine, and how the pharmaceutical industry operates.

Although, Artificial Intelligence plays an important role in different aspects of medical diagnosis like medical decision making, management, automation, admin, and workflows. It can be used to diagnose cancer, triage critical findings in medical imaging, acute flag abnormalities, help radiologists prioritize life-threatening cases, diagnose cardiac arrhythmias, predict stroke outcomes, and help manage chronic diseases.

Since the, 1970s diagnostics and treatment have been the prime focus of AI, as MYCIN was developed at Stanford for diagnosing blood-borne bacterial infections. MYCIN and other early rule-based systems showed promise for diagnosing and treating disease accurately but were not adopted for clinical practice. They were not substantially better than human diagnosticians, and they were poorly integrated with clinical workflows and medical record systems.

AI is a rich realm of data, algorithms, analytics, deep learning, neural networks, and insights that is growing and adapting to the needs of the healthcare industry and its patients. Although, over the past few years, artificial intelligence in medical care has reduced the extreme pressures felt by the medical industry and is constantly working to evolve in diagnostics. Recently IBM’s Watson received considerable attention in the media for its focus on precision medicine, particularly cancer diagnosis and treatment. As Watson employs a combination of machine learning and NLP capabilities. However, AI seems to be still developing and soon a part of the healthcare diagnostic industry.

To know about: -
• Types of AI of Relevance to Healthcare Diagnostics
• AI Applications in Diagnostics
• AI Related Developments in Diagnostics
• Future of AI in Diagnoses
• How Can IEBS Help You?

Please visit: https://www.iebrain.com/how-is-artificial-intelligence-transforming-the-medical-diagnosis/

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