Free medical software for mac

TreFre Medical (TFM) 1.5.2 is a remarkable and splendid tool, created by a corporation that is teamed with medical professionals and computer experts, attempts to streamline the day to day management of a medical practice. There is confusion as to when and if an office should "get connected". Questions like "What software should I purchase?". " Which computers work best?" and "How can my office become better managed?" are heard at most conventions.

Requirements: Mac OS X

Escape Medical Viewer 3.2.3 is considered as a smart and useful tool that is a robust, lightweight DICOM viewer, anonymizer and converter for Windows (up to Vista), MacOS X (up to Leopard) and Mac Classic. EMV opens virtually all DICOM images and DICOMDIR files from DICOM-compliant CD-ROMs, as well as all common image formats, including JPEG, TIFF and PDF (MacOS X only).

EMV requires QuickTime, Apple's complete digital media technology, available free of charge for both Windows and MacOS. QuickTime offers unparalleled quality, ease of use and functionality, allowing EMV to export towards a wealth of image and movie formats that no other medical viewer supports.

If you're looking for a fast, lightweight, friendly, multi-functional, affordable, powerful, cross-platform medical viewer, you owe it to yourself to give EMV a try.

Major Features:

1. Multilingual program interface (English, French, Italian, Spanish).
2. Presentation of image sequences in freely definable grid layout.
3. Full-screen viewing mode.
4. User-controlled on-image presentation of patient demographics, image location, measurement scale, etc.
5. Calibration of uncalibrated images.
6. Support for DICOM overlays.
7. High quality zoom (using bicubic interpolation).
8. Very fast handling of large sequences and DICOM CD-ROMs.
9. Series splitting for multislice or multiphase DICOM series.
10. Tools for adding and handling user objects (measurements, eraser rectangle, text annotations, arrows).
11. User selected tool scope: changes can affect only the current frame or the entire sequence.
12. Pixel density measurements (Hounsfield units on CT).
13. Alternative colorizations of grayscale and color images.
14. Batch export: frame, sequence, series, study, patient, all patients.
15. Batch anonymize: file, sequence, series, study, patient, all patients.
16. Batch export of DICOM header data: file, sequence, series, study, patient, all patients.
17. Support for non-square pixels.
18. Mask frame subtraction (useful for XA).
19. Printing to any installed printer.

I wrote this program to help me prep for med school interviews. The best way to prepare for an interview is with mock interviews. This program will pepper you with questions typical of those you would be asked in an average med school interview. Not only that but it will speak them outlowd, simulating the audio experience of being interviewed! It is FREE but if your find it useful I would appreciate it if you would give me some feedback at alex.white@mac.com .

If you would like to change the questions that Interviewer asks, right (control) click on the Interviewer application and select Show Package Contents. Then open the Contents file, and then Resource file in the finder window that appears. You should see a file questions.txt. Each line of text in this file is a questions that Interview will pose to you. Enjoy!

Medical Research NoteTaker Widget 1.0 is a very tractable and powerful program which can give you so much useful knowledge about medical information.

A wealth of medical information is currently available on the web - but not all of it is equally trustworthy or easy to access. Fortunately, an ongoing initiative at the National Institutes of Health - the National Library of Medicine (NLM) - has come a long way in alleviating both of these concerns. This widget is designed to provide access to the NLM's contents in two ways:

• By using a search metaengine (Clusty) to group the results of a medical publication search into thematic clusters.
• By submitting the same search directly to the NLM, and categorizing the results obtained according to the purpose and contents of the databases queried.

The resulting notebook contains a section for the "top results" from Clusty, and an additional section for each thematic cluster listed. Within each section, a page is created for each link found; after the widget has finished, the corresponding webpages may be loaded by hand one at a time, or all at once by running the "Load MegaSearch Pages" script within NoteTaker.

The results obtained from the NLM are saved in a separate section at the end of the notebook, with a page created for each database containing information on the search topic. The information contained in each of these pages can be loaded into the notebook by using the "checkbox" mechanism provided within each one.

Notes:

• A new NoteTaker notebook is created for each new search.
• Since collecting all the results may take a while (depending upon the speed of your computer and your Internet connection), the notebook returns to the original search page at the end of the search to let you know the process is complete.
• There will be a brief pause as each section is created, so as to allow the notebook to load the corresponding Clusty or NLM page.
• Clusty's defaults (10 results per page, 10 clusters displayed) will yield notebooks of around 100 pages in length. Setting the preferences to their maximum (100 results per page, all clusters displayed) will yield notebooks of around 1000 pages in length. These settings can be adjusted by clicking on the "Preferences" link in any Clusty page in the notebook.
• Even though the default settings are usually fine for basic searches, it is worthwhile exploring the "Limits/Settings" option available on any of the NLM pages - it allows for considerable fine-tuning of the results obtained from the NLM.
• The NLM server will occasionally not respond to a search, fail to load a search page, or display an error message. If this happens, simply wait a few minutes and try running the search again. A similar response is also sometimes seen from Clusty - again, running the search a second time usually clears up the problem.

PubMedMaker is bibliography software, similar in principle to EndNote, Pro-Cite and Reference Manager. This shareware program is designed for anyone who wishes to manage medical literature data with FileMaker Pro database.
We aim at easy to use and intuitional operation for managing MEDLINE data. You perform a search of the scientific literature in PubMed or NLM gateway on the Internet and save the search results as a text file.
PubMedMaker converts this text file into a FileMaker Pro database simply by dragging & dropping. By using FileMaker Pros function, you can search, select, sort, and print literature references which can be formated and exported with rich text and HTML to conform to the style you desired.
Enhancements:
- Compatible with the change of MEDLINE format in PubMed
- Compatible with the change of Medlar format in NLM Gateway.

The GNUmed project builds an open source Electronic Medical Record. It is developed by a handful of medical doctors and programmers from all over the world.

GNUmed EMR may be used by anyone documenting the health of patients, including but not limited to doctors, occupational therapists, physical therapists, ...

Products such as the Alluro line are based on the free and open source software GNUmed.

HILBROS is actively supporting the Free software movement by dedicating financial and human resources to the development of GNUmed. GNUmed has been and will be a solid basis for Alluro.

We are proud to stand on the shoulders of giants being able to supply the medical community with a state of the art medical practice software. In the spirit of Free Software all improvements to the GPL licensed GNUmed and GNotary codebase by HILBROSs developers are made available to the GNUmed project and integrated back into the GNUmed and GNotary source code as the project developers see fit.

The CUDA Toolkit is a C language development environment for CUDA-enabled GPUs.
In a matter of a few years, the programmable graphics processor unit has
developed into an absolute computing workhorse. With multiple cores driven by very high memory bandwidth, todays GPUs offer incredible resources for both graphics and non-graphics processing.
The main reason behind such an evolution is that the GPU is specialized for compute-intensive, highly parallel computation exactly what graphics rendering is about and therefore is designed such that more transistors are devoted to data processing rather than data caching and flow control.
The CUDA development environment includes:
- nvcc C compiler
- CUDA FFT and BLAS libraries for the GPU
- Profiler
- gdb debugger for the GPU (alpha available in March, 2008)
- CUDA runtime driver (now also available in the standard NVIDIA GPU driver)
- CUDA programming manual
The CUDA Developer SDK provides examples with source code to help you get started with CUDA. Examples include:
- Parallel bitonic sort
- Matrix multiplication
- Matrix transpose
- Performance profiling using timers
- Parallel prefix sum (scan) of large arrays
- Image convolution
- 1D DWT using Haar wavelet
- OpenGL and Direct3D graphics interoperation examples
- CUDA BLAS and FFT library usage examples
- CPU-GPU C- and C++-code integration
- Binomial Option Pricing
- Black-Scholes Option Pricing
- Monte-Carlo Option Pricing
- Parallel Mersenne Twister (random number generation)
- Parallel Histogram
- Image Denoising
- Sobel Edge Detection Filter
- MathWorks MATLAB Plug-in

Main features:
- Standard C programming language enabled on a GPU.
- Unified hardware and software solution for parallel computing on CUDA-enabled NVIDIA GPUs.
- CUDA compatible GPUs range from lower power notebook GPUs to high performance, multi-GPU systems.
- CUDA-enabled GPUs support the Parallel Data Cache and Thread Execution Manager.
- Standard numerical libraries for FFT (Fast Fourier Transform) and BLAS (Basic Linear Algebra Subroutines).
- Dedicated CUDA driver for computing.
- Optimized direct upload and download path from the CPU to CUDA-enabled GPU.
- CUDA driver interoperates with OpenGL and DirectX graphics drivers.
- Support for Linux 32/64-bit and Windows XP 32/64-bit operating systems.
- Direct driver and assembly level access through CUDA for research and language development.

Enhancements
- Visual Profiler for the GPU - The most common step in tuning application performance is profiling the application and then modifying the code. The CUDA Visual Profiler is a graphical tool that enables the profiling of C applications running on the GPU. This latest release of the CUDA Visual Profiler includes metrics for memory transactions, giving developers visibility into one of the most important areas they can tune to get better performance.
- Improved OpenGL Interop - Delivers improved performance for Medical Imaging and other OpenGL applications running on Quadro GPUs when computing with CUDA and rendering OpenGL graphics functions are performed on different GPUs.
- Texture from Pitch Linear Memory - Delivers up to 2x bandwidth savings for video processing applications.
- Zero-copy - Enables streaming media, video transcoding, image processing and signal processing applications to realize significant performance improvements by allowing CUDA functions to read and write directly from pinned system memory. This reduces the frequency and amount of data copied back and forth between GPU and CPU memory. Supported on MCP7x and GT200 and later GPUs.
- Pinned Shared Sysmem - Enables applications that use multiple GPUs to achieve better performance and use less total system memory by allowing multiple GPUs to access the same data in system memory. Typical multi-GPU systems include Tesla servers, Tesla Personal Supercomputers, workstations using QuadroPlex deskside units and consumer systems with multiple GPUs.
- Asynchronous memcopy on Vista - Allows applications to realize significant performance improvements by copying memory asynchronously. This feature was already available on other supported platforms but is now available on Vista.
- Hardware Debugger for the GPU - Developers can now use a hardware level debugger on CUDA-enabled GPUs that offers the simplicity of the popular open-source GDB debugger yet enables a developer to easily debug a program that is running 1000s of threads on the GPU. This CUDA GDB debugger for Linux has all the features required to debug directly on the GPU, including the ability to set breakpoints, watch variables, inspect state, etc.
- Exclusive Device Mode - This system configuration option allows an application to get exclusive use of a GPU, guaranteeing that 100% of the processing power and memory of the GPU will be dedicated to that application. Multiple applications can still be run concurrently on the system, but only one application can make use of each GPU at a time. This configuration is particularly useful on Tesla cluster systems where large applications may require dedicated use of one or more GPUs on each node of a Linux cluster.
Pinned Memory Support:
- These new memory management functions (cuMemHostAlloc() and cudaHostAlloc()) enable pinned memory to be made "portable" (available to all CUDA contexts), "mapped" (mapped into the CUDA address space), and/or "write combined" (not cached and faster for the GPU to access).
- cuMemHostAlloc
- cuMemHostGetDevicePointer
- cudaHostAlloc
- cudaHostGetDevicePointer
Function attribute query:
- This function allows applications to query various function properties.
- cuFuncGetAttribute
2D Texture reads from pitch linear memory:
- You can bind linear memory that you get from cuMemAlloc() or cudaMalloc() directly to a 2D texture. In previous releases, you were only able to bind cuArrayCreate() or cudaMallocArray() arrays to 2D textures.
- cuTexRefSetAddress2D
- cudaBindTexture2D
Flags for event creation:
- Applications can now create events that use blocking synchronization.
- cudaEventCreateWithFlags
New device management and context creation flags:
- The function cudaSetDeviceFlags() allows the application to specify attributes such as mapping host memory and support for blocking synchronization.
- cudaSetDeviceFlags
Improved runtime device management:
- The runtime now defaults to attempting context creation on other devices in the system before returning any failure messages. The new call cudaSetValidDevices() allows the application to specify a list of acceptable devices for use.
- cudaSetValidDevices
Driver/runtime version query functions:
- Applications can now directly query version information about the underlying driver/runtime.
- cuDriverGetVersion
- cudaDriverGetVersion
- cudaRuntimeGetVersion
New device attribute queries:
- CU_DEVICE_ATTRIBUTE_INTEGRATED
- CU_DEVICE_ATTRIBUTE_CAN_MAP_HOST_MEMORY
- CU_DEVICE_ATTRIBUTE_COMPUTE_MODE
Documentation:
- Doxygen-generated and cross-referenced html, pdf, and man pages.
- Runtime API
- Driver API