Researchers develop the algorithm but the next move after that is to plant it into a robo. (Science Daily: Deep learning algorithm does as well as dermatologists in identifying skin cancer)
A dermatologist using a dermatoscope, a type of handheld microscope, to look at skin. Computer scientists at Stanford have created an artificially intelligent diagnosis algorithm for skin cancer that matched the performance of board-certified dermatologists.
Credit: Matt Young
- SD
None of the dermatologists who have been checking out my woeful corpus with a dermatoscope but rather they have 'eyeballed' the situation to make their judgment over whether this or that may need a biopsy. That review has resulted in an impressive array of surgeries for skin cancer, particularly in the last year so now the new sci fi is a robo could do it.
Note: I have no complaint regarding the medical process with me and there is no active cancer at this time although there is one which is a new candidate.
Universal access to health care was on the minds of computer scientists at Stanford when they set out to create an artificially intelligent diagnosis algorithm for skin cancer. They made a database of nearly 130,000 skin disease images and trained their algorithm to visually diagnose potential cancer. From the very first test, it performed with inspiring accuracy.
"We realized it was feasible, not just to do something well, but as well as a human dermatologist," said Sebastian Thrun, an adjunct professor in the Stanford Artificial Intelligence Laboratory. "That's when our thinking changed. That's when we said, 'Look, this is not just a class project for students, this is an opportunity to do something great for humanity.'"
- SD
That last was a hefty statement but it's not so farfetched after demonstrating the capability. You see the driver from the outset regarding universal health care but that's likely not as political as it may seem and no more is necessary on that aspect.
One question is how soon / will it change anything during the course of my own treatment. That treatment doesn't end as I'm on a three-month callback to keep it in abeyance. The live question is whether it will be a robo doing that three-month review any time soon.
"Advances in computer-aided classification of benign versus malignant skin lesions could greatly assist dermatologists in improved diagnosis for challenging lesions and provide better management options for patients," said Susan Swetter, professor of dermatology and director of the Pigmented Lesion and Melanoma Program at the Stanford Cancer Institute, and co-author of the paper. "However, rigorous prospective validation of the algorithm is necessary before it can be implemented in clinical practice, by practitioners and patients alike."
- SD
I see it won't be soon but I want that rigor in testing when a melanoma, the one skin cancer joy I have not experienced yet, can put me into a box.
- Infer the full diatribe on the Robos Are Coming -
A dermatologist using a dermatoscope, a type of handheld microscope, to look at skin. Computer scientists at Stanford have created an artificially intelligent diagnosis algorithm for skin cancer that matched the performance of board-certified dermatologists.
Credit: Matt Young
- SD
None of the dermatologists who have been checking out my woeful corpus with a dermatoscope but rather they have 'eyeballed' the situation to make their judgment over whether this or that may need a biopsy. That review has resulted in an impressive array of surgeries for skin cancer, particularly in the last year so now the new sci fi is a robo could do it.
Note: I have no complaint regarding the medical process with me and there is no active cancer at this time although there is one which is a new candidate.
Universal access to health care was on the minds of computer scientists at Stanford when they set out to create an artificially intelligent diagnosis algorithm for skin cancer. They made a database of nearly 130,000 skin disease images and trained their algorithm to visually diagnose potential cancer. From the very first test, it performed with inspiring accuracy.
"We realized it was feasible, not just to do something well, but as well as a human dermatologist," said Sebastian Thrun, an adjunct professor in the Stanford Artificial Intelligence Laboratory. "That's when our thinking changed. That's when we said, 'Look, this is not just a class project for students, this is an opportunity to do something great for humanity.'"
- SD
That last was a hefty statement but it's not so farfetched after demonstrating the capability. You see the driver from the outset regarding universal health care but that's likely not as political as it may seem and no more is necessary on that aspect.
One question is how soon / will it change anything during the course of my own treatment. That treatment doesn't end as I'm on a three-month callback to keep it in abeyance. The live question is whether it will be a robo doing that three-month review any time soon.
"Advances in computer-aided classification of benign versus malignant skin lesions could greatly assist dermatologists in improved diagnosis for challenging lesions and provide better management options for patients," said Susan Swetter, professor of dermatology and director of the Pigmented Lesion and Melanoma Program at the Stanford Cancer Institute, and co-author of the paper. "However, rigorous prospective validation of the algorithm is necessary before it can be implemented in clinical practice, by practitioners and patients alike."
- SD
I see it won't be soon but I want that rigor in testing when a melanoma, the one skin cancer joy I have not experienced yet, can put me into a box.
- Infer the full diatribe on the Robos Are Coming -
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