Unlocking Artificial Intelligence In Healthcare Training Ppt

Slide 1

This slide gives an overview of Artificial Intelligence within the Healthcare industry. The application of Machine Learning and Cognitive technologies in healthcare to make machines think, learn and make decisions like humans is called AI in Healthcare.

Slide 2

This slide highlights the importance of Artificial Intelligence in the healthcare industry because of its crucial role in a productive, thriving society. AI in healthcare can boost preventive care and the quality of life, create more accurate diagnosis and treatment strategies, and improve patient outcomes.

Slide 3

This slide lists examples where Artificial Intelligence can be used within healthcare. These include diagnosis, pharmaceuticals, assistants, and surgeries.

Instructor’s Notes: 

• Diagnosis: The involvement of AI in diagnostic and treatment suggestions is one of its most significant advantages in healthcare. Applying deep learning in medical diagnosis to detect cancer is a critical AI trend in medicine. Because medical AI techniques can gather data in one location, they can use it to gain insight into past and current health issues. Millions of symptoms, diagnoses, and specific cases could be stored in healthcare AI databases, allowing early detection
• Pharmaceuticals: Artificial Intelligence and healthcare are closely associated with the pharmaceutical industry. Artificial Intelligence in medicine can save approximately reduce $70 billion spent yearly on research and development by the ten largest pharmaceutical corporations, AI drug discovery companies are gaining clout as a result
• Assistants: The Virtual Health Assistant, or VHA, is one example of Artificial Intelligence in healthcare that allows communication between remote patients, physicians, and payers. This Artificial Intelligence healthcare application provides a conversational technology interface for AI in medicine, similar to the digital assistants and chatbots that offer services at the consumer level
• Surgeries: The application of AI in surgery not only grows beyond technology functioning as an extra set of hands or eyes for human surgeons, but the link between AI and surgery is growing as well. Artificial Intelligence has proven to be beneficial in detecting anomalies in medical imaging, increasing detection rates for cancer-positive lymph nodes, reducing the number of missed diagnoses, and saving lives

Slide 4

This slide discusses the scope of Artificial Intelligence in the healthcare industry. The future of AI in healthcare will include remote, virtual, and mechanically automated ways for health delivery, communications, and administration

Instructor’s Notes: AI robot systems are being used to sanitize patient rooms and operating rooms, lowering the risk of infection for both patients and medical staff

Slide 5

This slide lists the advantages and disadvantages of Artificial Intelligence within the healthcare industry. The advantages include better data-driven decisions, increased efficiency in diagnosis, decreased treatment time, save time of administrative staff, and integration of information whereas, disadvantages include concerns regarding privacy & security, high initial capital investment, lack of interoperability, makes humans redundant & could create unemployment, and lack of creativity.