A system for training the visual attention capabilities of a subject presents a series of sets of tests to the subject on a conventional touch screen monitor. Each test includes a central target, a peripheral target and distractor elements around the peripheral target. The display time for the displays and the eccentricity of the peripheral target are held constant within each set of tests. When the subject reaches a desired level of success in identifying the central target and in locating the peripheral target, eccentricity of the peripheral target is increased for the next set of tests. Once eccentricity reaches a maximum value, display time is decreased and eccentricity is decreased for the next set of tests.

A method for psychological testing of a subject is performed by (A) presenting a test by means of a testing means having output means (e.g. a computer monitor) and input means (e.g. a keyboard); and, (B) instructing the subject by displaying a simulation (as shown in the figure) of the test by means of the output means so that the subject can learn how to perform the test from the simulation. The test is therefore independent of the subject's language skills, or of verbal instructions provided by a supervisor.

Provided are methods for diagnosing the presence, type, or severity of akathisia in a human subject. The methods involve using a computer-based system to assess impairment of certain cognitive and motor functions that are indicative of akathisia.

CAD (computer-aided detection) systems, methods and tools are provided for automatically inserting "false" marks (e.g., incorrect marks, misleading marks, etc.) in medical images to ensure an unbiased CAD-assisted review of the marked medical images by physicians, clinicians, radiologists, etc. For example, a method for automatic detection of medical conditions in medical images includes the steps of receiving image data, processing the image data to detect potential medical conditions in the image data, adding a mark in the image data that indicates a detected medical condition, adding a false mark in the image data; and outputting marked image data comprising one or more marks that indicate a detected medical condition, or one or more false marks, or both. The individual performing a CAD-assisted review of the "marked" image data is aware that one or more "false" marks may be included in displayed images, which prevents blind reliance on the CAD results.

Provided are methods for diagnosing the presence, type, or severity of a dementia in a human subject. The methods involve using a computer-based system to assess impairment of certain cognitive and motor functions that are indicative of Alzheimer's disease and other forms of dementia.