Problems hitherto insoluble because of the formidable amount of calculation involved can now be left to machine computers of either the analog or the digital type. Both types are being applied to medical problems. They not only speed up calculations but can also be wired in such a way as to simulate biological regulatory systems and to incorporate any desired hypothetical reaction-pattern to stimuli. The complex interaction of factors affecting blood pressure, respiration, and other functions can be represented in circuitry that stores information, processes it at high speed, and retrieves both the information and the results from storage promptly and accurately. The machine-computer and the human brain differ in the way they handle inexact data: the brain can usually still make a qualitative analysis and arrive at a conclusion, whereas the computer would report only nonsensical results. The examples here given show that every field of medical science and the healing arts is likely to gain if every original worker will be alerted to the possible application of these new tools in his own field of endeavor.
[1]
O. H. Schmitt,et al.
The present status of vectorcardiography.
,
1955,
A.M.A. archives of internal medicine.
[2]
S. Vajda,et al.
Symposium on Monte Carlo Methods
,
1957,
The Mathematical Gazette.
[3]
John von Neumann,et al.
The Computer and the Brain
,
1960
.
[4]
B CHANCE,et al.
Respiratory enzymes in oxidative phosphorylation. V. A mechanism for oxidative phosphorylation.
,
1955,
The Journal of biological chemistry.
[5]
Otto H. Schmitt.
Cathode‐Ray Presentation of Three‐Dimensional Data
,
1947
.
[6]
H. Blaschko,et al.
Observations on the intracellular granules of the adrenal medulla
,
1955,
The Journal of physiology.
[7]
Selected Papers in Statistics and Probability.
,
1955
.
[8]
O. H. Schmitt,et al.
The Effect of Leads Utilized Upon Discrepancies Between Spatial Vectors Recorded by SVEC and by Mean Vector Methods
,
1955,
Circulation research.
[9]
N. Metropolis,et al.
Digital computer studies of cell multiplication by Monte Carlo methods.
,
1956,
Journal of the National Cancer Institute.