The use of artificial intelligence in medical diagnosis

The diagnosis of a disease requires high accuracy in order to provide effective treatment and ensure the well-being of patients. Because AI is a rapidly expanding field of data and analytics, its use in healthcare, specifically medical diagnostics, is essential.

The use of artificial intelligence in medical diagnosis offers many advantages, such as:

• ِِArtificial intelligence in diagnostics makes high-quality healthcare more accessible and affordable by helping doctors make the most appropriate treatment decisions for their patients more quickly.
• Helps enable early detection of diseases.
• Helps perform time-consuming administrative tasks, enabling doctors to focus and spend more time with patients.

AI has developed a range of diagnostic methods, including:

Computed tomography, Ultrasound, Mammography, Genomics.

There are numerous ethical concerns directly related to patient safety due to the use of artificial intelligence in healthcare, specifically diagnostics:

• Who is responsible for the use of artificial intelligence in medical misdiagnosis and incorrect treatment recommendations?
• Is the physician liable if he chooses not to use the available AI and the patient is misdiagnosed?
• AI systems are not as equipped as humans to recognise when there is a change in data that could affect the validity of a diagnosis, therefore, AI will not replace the doctor in the future.