No More Surgeons!

13

October

2019

5/5 (1)

Imagine being operated by robots. This is already happening but is going to spread over the world in the future. Nowadays only part of the surgery is operated by robots, but the plan is to allow robots to do full surgeries. However, one should not worry about it as the robots are still going to be controlled by surgeons (Noel Phillips, 2018). The process will naturally require quite a few years for doctors to be trained and get adapted to the new way working. The areas in which the robots operate span from orthopedics, urology, general surgery, gynecology, neurology, thoracic, otolaryngology, bariatric, rectal and colon to hair transplants, multiple oncologies and even dental implants. Below, main existing technologies will be elaborated upon.
Nowadays, there are four categories of surgical robots each having variety machines performing different activities (Smith, 2019). The first category is called “Surgeon Waldo” that includes machines such as the da Vinci, TransEnterix Senhance, CMR Versius and Titan SPORT that transform the movement of a surgeon into instrument movements by having computer communications between console of a physician and a remote patient cart. The first category is aimed to improve the human’s precision, increase strength, augment endurance and diminish hand tremors. The second category is so-called “Programmable Automatas” that includes energy delivery robots such as Accuray’s CyberKnife. This robot uses clear treatment plan that has been defined before to determine the location and orientation to provide energy to concentrate on and kill tumors at specific spots inside the human body. Yet, another category named “Assistive Guide” makes sure that actions initiated by humans comply with the digital plan established in the stage before the operation starts. The fact that the robot physically enforces adherence can help avoid deviation that could lead to the wrong treatment. Straight laparoscopic sticks gain greater flexibility in the last category known as “Motorized Laparoscopic”. As an example, motors and steering controls are added to laparoscopic handles, thereby providing the surgical tip with a flexible wrist joint. Other applications in this category include laparoscopic cameras through laser, eye-tracking, human voice and other methods that can enable a surgeon to navigate the camera without an assistant holding the camera. The four categories mentioned do capture the current use and development. However, there will be a need for new categories as the capabilities will be expanded.
The surgical robots are going to offer much more than mechanical extensions of a surgeon’s hands in the future. Just as MIS instruments and energy therapies have succeeded previously, this software and hardware are the upcoming generation of tools that will improve skills of a surgeon and patient outcomes.

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ROBOTS ARE COMING!

12

October

2019

5/5 (1)

The robots are coming! They are going to replace in our jobs! This is what you hear for the last years when people discuss Artificial Intelligence (AI). This will not be restricted to just one industry but will be spread over every industry and job. If you are planning your career in Supply Chain/Procurement field related to IT, then this information might valuable for you.

Deep neural networks, Machine Learning, Natural Language Processing, Computer and so on- these are some of the core technologies that might sound familiar to you, right? You might ask what they have to do with Procurement, but they do relate to procurement through the application teams such as Virtual Assistants, Cognitive Advisors, Predictive Analytics, etc. Spend classification is a product where ML automatically classifies transactions based on the previous experience and the information input (Tradeshift, 2018). Another example is invoice automation in which we can take scanned/PDF invoices and interpret and classify them according to the info found on the invoice. There is another interesting use-case called contract analytics where entire contract is taken into account and the contract can be analyzed with the help Natural Language Processing. One can search for different clauses and assign risk scores to the contract. Moreover, AI can also be utilized in the Risk Management area where one can analyze extreme large sets of data from internet to see the impact on the business. You can get any news about suppliers (e.g. suppliers’ factory shut down, M&A) or any rumours in the core areas of your business that may impact your supply chain.

As a matter of fact, AI can allow us to do certain activities that we have not been able to do before. AI will lead to the removal of the administrative, low-level and repetitive tasks. That will free up our time and allow us to have more focus on the strategic activities. For example, there are some companies that possess huge supply base and it is extremely hard to manage all of those suppliers. So, if AI can assist us in identifying trends in performances, we can concentrate on actions to reduce those trends. By looking at the previous patterns AI can get recommendations on which suppliers to deal with.

In short, despite of some fear of AI, it is capable of making us smarter at our job and bring additional value to the business.

References:
TradeShift (2018). Artificial Intelligence in Procurement: Featuring Gartner Expert Magnus Berfors and Christian Lanng. Retrieved from: https://tradeshift.com/

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