Role of AI and Mobile Robots in Clinical Trials

Artificial intelligence (AI) and augmented reality are two technological advancements that are driving the rapid adoption of robotics in the healthcare industry. As a result, robots are becoming more commonplace in hospitals, nursing homes, and other healthcare facilities, acting as valuable tools in a variety of medical applications. This evolution of technology is changing the healthcare landscape by providing enhanced precision, efficiency, and patient care.

In surgical procedures, robots equipped with AI provide unparalleled precision and control, enabling minimally invasive operations that reduce recovery times and minimize risks. In nursing homes, robots equipped with AI and augmented reality monitor patients' vital signs. The Clinical Trials Innovation Programme, a distinguished and eagerly awaited event in the pharmaceutical and healthcare industries, is pleased to announce that World BI will be hosting its 2025 edition.


AI generally falls into two categories. Artificial general intelligence is the capacity of a computer to simulate the human mind and carry out any intellectual work that a human is capable of.

  • The main focus of early AI research was artificial general intelligence, which also dominated popular culture's portrayal of AI. There are no agreed-upon classifications of AI subfields that are pertinent to health.

AI Research

This strategy makes sure that our goals are in line with the interests and current objectives of the AI in healthcare community. Even while other topics have also come up often in recent years, some of these are more upstream in nature—that is, they are more concerned with the foundations of AI research than with practical applications in the healthcare industry.

  • These more advanced fields, including the creation of novel neural network topologies or improvements in machine learning techniques, are crucial to the larger field of artificial intelligence (AI), but they do not directly or immediately affect health and medicine.
  • Several of these AI subfields in the health sector are frequently combined in a single application, which is also important to note.

For instance, health outcomes might be predicted by analyzing patient records using natural language processing (NLP) in conjunction with machine learning.

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Medical Imaging

In the same way, medical imaging accuracy may be increased by combining computer vision with AI-driven diagnosis. Because of the interconnection and complexity of many subfields, this multidisciplinary usage of AI technology shows how advances in one area frequently lead to gains in other areas.

Mobile Robots:

Robotization is necessary in medicine because of staffing shortages, rising social demands, and prices that are beyond reach of the budget. At the turn of the nineteenth and twentieth century, politics and social relations were impacted by the introduction of automated machines and robots, which, like the machines that had been introduced, turned industries into industrial plants.

  • A new development is the provision of medical services.
  • One of the primary benefits of da Vinci's rivals, such the Versius (CMR), which has already been utilized to perform 5,000 treatments globally, will probably be the mobility and simplicity of use of robotic systems.
  • Having previously acquired the German robot Miro (DLR), Medtronic is now introducing its HUGO robot for clinical use.
  • Robots employ physical phenomena such as laser, electric, thermal, and ultrasonic phenomena, or the traditional mechanical action of tools.

Types of Robots:

1- Endoscopy-Bot

Since 1981, video capsule endoscopy has used a tiny camera shaped like a swallowed capsule for direct visual and diagnostic assessment of gastrointestinal disorders.

  • PillCam SB3 (Given Imaging) features a variable frame rate of up to 6 frames per second when moving quickly, like the duodenum, and up to 2 frames per second when it is stationary or moving slowly. It weighs less than 4 g and dimensions 11–26 mm.
  • In order to identify bleeding spots, it also features a blood detector. The battery life of endocapsules is around 12 hours.
2- Cosmetic Medicine

We are more elegant and productive because of robots.

  • Robots are employed in large numbers to enhance athletic performance and provide physical training.
  • The time it takes to identify, match, and deliver medication to patients in hospitals is decreased by automated pharmacies and robots equipped with AI-enabled medication identification software.
3- Drones

Drones are the example of technological advancements, several initiatives involving the application of robots in medical services have been developed recently.

  • Drone delivery of blood samples, emergency medications, and first aid supplies.
  • Examples include ZipLine, which is testing the transportation of blood for transfusion in Rwanda, and EHang, the first autonomous drone in the world capable of moving a human and a donated organ.

Medical Robots in Clinical Trials:

The clinical trial process is becoming more robust and dependable because to these cutting-edge technologies, which are also improving accuracy, efficiency, and patient safety.

  • Clinical trial costs and times can be considerably lowered by utilizing mobile robots and artificial intelligence.
  • Reducing the need for considerable human labor through the automation of regular operations and data collecting lowers operating expenses.
  • The speed at which mobile robots and AI can process data and evaluate it speeds up the trial process and expedites the release of medicines.
  • This effectiveness guarantees that patients receive quicker access to potentially life-saving treatments in addition to providing advantages to the trial sponsors.
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World BI’s Clinical Trials Conferences:

The Clinical Trials Innovation Programme aims to showcase case studies and real-world applications to underscore the revolutionary potential of artificial intelligence (AI) and medical robots in improving the speed, precision, and reliability of clinical trials. In order to ensure the appropriate and efficient use of these technologies, participants will obtain important insights into the ethical and regulatory issues surrounding their implementation.

Leading industry professionals, inventors, and thought leaders from across the world will come together for this event to exchange expertise and views on a variety of subjects pertaining to medical robotics and artificial intelligence. For more details visit World BI.