The use of AI in medical diagnostics has the potential to transform the way doctors and clinicians diagnose diseases and conditions. AI algorithms can analyze large amounts of data from various sources, including electronic health records, medical images, and genomic data, to provide faster and more accurate diagnoses. Here are some examples of the magic of AI in medical diagnostic:

• Early detection of diseases: AI can detect patterns in medical data that may not be immediately apparent to human clinicians. This can help doctors to detect diseases earlier when they are more treatable and less likely to cause serious complications.
• Personalized treatment plans: AI can analyze patient data to identify the most effective treatment options for individual patients. This can help doctors to tailor treatment plans to the specific needs of each patient, improving outcomes and reducing side effects.
• Improved accuracy of medical imaging: AI algorithms can analyze medical images, such as X-rays, CT scans, and MRI scans, to identify signs of disease that may be difficult for human clinicians to detect. This can lead to more accurate and timely diagnoses, improving patient outcomes.
• Remote diagnostics: AI can be used to provide diagnostic services remotely, making medical care more accessible to people in remote or underserved areas. This can help to improve access to medical care and reduce healthcare disparities.
• Predictive analytics: AI algorithms can analyze patient data to identify risk factors for diseases and conditions. This can help doctors to develop preventive strategies to reduce the risk of disease and improve overall health.

Some prominent public companies with AI health care focuses include:

• Alphabet – which includes Google Health and its AI arm, DeepMind
• Butterfly Network
• Medtronic – launched the first AI-powered endoscopy device 
• Merative – a health data company owned by IBM
• Sanofi – the pharmaceutical giant that owns AI company Owkin
• Stryker – a leading manufacturer of orthopedic robots 

Some AI companies working specifically on medical imagine include: 

• Aidoc – AI company offering a range of imaging services 
• Behold.ai – uses AI to support intelligent CT scans and X-rays 
• Caption Health 
• Gleamer – makes medical-grade AI for radiology 
• Sirona – offers AI tools to assist radiologists in interpreting imaging 

• Qure.ai – maker of AI for chest X-rays, head CTs, and ultrasounds, among others
• Xylexa-AI-powered Computer-aided Diagnostics (CADx) platform to assist caregivers with automated, accurate, timely and cost-effective medical image diagnosis.

Overall, the use of AI in medical diagnosis has the potential to improve patient outcomes and reduce healthcare costs. However, the limitations and potential shortcomings of AI should be carefully considered, and steps should be taken to ensure that the use of AI is transparent, unbiased, and ethical.