Chuck, when searching for medical and healthcare robot subjects for this slideshow, I also noticed that there seem to be a lot of the exoskeleton models, far more than the two shown here (or four, if you count Slides 8 and 10, Toyota's two different Walk Assist models). It does look like these have been increasing over the last few years.
Al, that's scary--I've heard the same thing about surgical instruments not coming back out of patients' bodies. And I agree about the need for rigorous testing for such solutions. OTOH, there are already protocols in place for such testing in medical equipment. I also agree that the potential for decreasing the truly abominable error rate of hospitals is compelling.
Great slide show, Ann. I'm intrigued by what appears to be the growth of so-called "exoskeletons." I would classify four of these devices as exoskeletons. All seem to use some kind of closed loop feedback. Are we starting to see more of this technology?
Ann, I can't remember all of the details but I remember from the interviews that leaving surgical instruments "behind" inside patients was identified as a major cause of malpractice claims. As with any software-based solution, obviously there needs to be extensive testing to validate the design and system reliability/accuracy, but there is no question that robots/machines can be more consistent and create fewer errors than human workers. But there is also just cause for caution in adopting these kinds of technological solutions.
Thanks, Al. That's a very interesting use of robotics in hospitals, which are riddled with human error to the tune of 100,000 or more deaths per year in the US alone caused by those errors. Automating all the many functions that hospital personnel must do sounds like a potentially wonderful app. I'm sure someone will criticize this concept and worry about parts failures--I did when first encountering the idea of robot surgeons--but right now the human performance specs are pretty lousy, and I bet robots could best them.
Ann, Interesting stuff. DN did an article a couple years ago featuring Robotic Systems & Technology and an interesting robot, PenelopeCS, working to revolutionize the way hospitals manage their inventory of surgical instruments. Penelope CS automates key functions in the hospital's sterile supply department where used/dirty surgical instruments are cleaned, sorted, inspected and repacked into containers to be sterilized for the next procedure.At that time, they said that robots in the operating room but primarily teleoperated devices that basically serve as sophisticated power steering for the surgeon. RST was developing technology centered on designing machine vision routines for surgical instruments and the intelligence built into its software to recognize and organize the instruments. They were working on really a new kind of robotics in the sense that it's more involved with people. The goal was to advance both robotics and hospital efficiency using a man-machine partnership.
gsmith, we've discussed this issue is some other threads. There are extremely strict rules for machines, as well as for people, who operate on us, as well as for all the materials that contact our skin, as well as for drugs, etc. etc. A surgeon could come in drunk or a component could fail during surgery. I don't know what the relative probabilities are of either one occurring. Personally, I think I'd trust the robot. In any case, that's what regulations are for. The Intuitive Surgical website (makers of da Vinci) has info on this.
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For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.