Artificial Intelligence (AI) is a combination of algorithms designed to create machines with capabilities comparable to those of human beings. The goal is to develop systems that can think and reason like humans, making rational decisions and solving problems in a similar manner.

In the field of healthcare, AI enables the generation of patterns that assist in the diagnosis of diseases. By analyzing symptoms, medical records, test results, genetic factors, and medical guidelines, AI can provide valuable insights. These insights can support clinicians in decision-making, helping them to prevent diseases, improve patient outcomes, and ultimately save lives.

AI also plays a crucial role in managing clinical analysis laboratories. By leveraging AI, tests can be processed more efficiently and with higher quality, leading to reduced errors. This technology enhances the safety of healthcare professionals by minimizing sample handling, while also improving traceability. Additionally, AI allows for the scheduling of additional studies to confirm a diagnosis when abnormal results are obtained.

Automation of processes in laboratories has further contributed to the shift in responsibilities for laboratory professionals. By freeing them from routine tasks, AI empowers these professionals to focus on research and other projects that drive progress in new areas of study.

These technological advancements in clinical analysis laboratories are reshaping the organizational models within the field. As we look toward the future, young scientists may find themselves at the forefront of the laboratory of tomorrow, where artificial intelligence could play a central role.

This webinar comprises of three following presentations of 20 min each followed by 20 min of panel discussion at the end.

Chair: Dr Ana Lena

Talk 1- "The laboratory of the future"  Dr. Israel Parra Ortega

Talk 2- "Technological advances in clinical analysis laboratories and how they affect the organizational model" Dr. Alvaro Notaroberto

Talk 3- "How Young Scientists Perceive Rapid Technological Evolution" Dr. Santiago Fares Taie

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