The Technology and Logistics Division, the Medical Corps, and MAFAT are seeking a solution for the development and implementation of AI-based technology to assist in diagnosis and assessment for front-line medical personnel, in two main cases:
Support in interpreting ultrasound at the point of injury for traumatic injuries on the battlefield
Background Performing an ultrasound examination and correctly interpreting the resulting imaging requires high experience and skill from the examiner. We are interested in strengthening the capabilities of field-level medicine in performing and interpreting ultrasound, thereby increasing the efficiency of using the examination during trauma injuries on the battlefield. Therefore, there is a need to identify and implement technology that will serve as an aid to the field medic, for accurate and efficient operation of the device and interpretation of the imaging obtained during the examination.
Solution Principles
Image identification and analysis: Incorporating advanced algorithms for analyzing digital images of ultrasound imaging, enabling accurate symptom identification.
Computerized medical diagnosis: Using a database of images and medical information to suggest the most likely diagnoses.
Treatment recommendations: Providing detailed treatment recommendations according to the diagnosis.
Ease of use: User-friendly interface and availability of the application on any mobile device/tablet to ensure full accessibility anytime, anywhere.
Emphases
Development of software technology, without additional hardware components on top of the existing ultrasound device and/or accompanying tablet.
Preference for software that will be installed on-premises without the need for communication with other components. However, technologies that use cloud technology for remote imaging interpretation will not be ruled out.
Ability to interface with POCUS (Point of Care Ultrasound) type Lumify and Butterfly.
Development of an interpretation model for traumatic injuries for the following indications or some of them: Assistance in obtaining vascular access, assessment of abdominal or pericardial fluid, assessment of hemothorax and pneumothorax, presence of fluid between pleural membranes, assistance in identifying cricothyroid membrane location when anatomy is difficult, demonstration of tube location, Preload assessment, pupil assessment when eyelids cannot be opened, and assessment of optic nerve edema as an expression of increased intracranial pressure.
2. Support in identifying common skin problems for primary care physicians
Background
Primary care in the IDF deals with a wide range of skin lesions, aiming to diagnose and treat them at the primary care level or refer for further specialist dermatology care. We are looking to identify a technological tool that will assist the primary care system in the initial interpretation of these lesions.
Objective
Identification and examination of an AI application in dermatology, in response to the characteristics of the military clinic, that will assist primary care physicians in the IDF in diagnosing and managing common skin problems. The application will provide a technological solution designed to improve the efficiency of dermatological care provided by primary care physicians as well as the quality and service experience of the patient.
Solution Principles
Image identification and analysis: Incorporating advanced algorithms for analyzing digital images of various skin cases, enabling accurate symptom identification.
Computerized medical diagnosis: Using a database of images and medical information to suggest the most likely diagnoses.
Treatment recommendations: Providing detailed treatment recommendations according to the diagnosis.
Ease of use: User-friendly interface and availability of the application on any mobile device/tablet to ensure full accessibility anytime, anywhere.
Emphases
Customized medical questionnaire: Option to incorporate a medical questionnaire tailored to IDF needs, to guide the diagnostic process.
Referral filtering capability: Creation of categories by the IDF for medical conditions that can be diagnosed on the application and those that cannot and require referral to a dermatologist, including referral urgency.
Expert control (administrator): Ability for managers with appropriate permissions to retrieve, view, download, and manage the case with the questionnaire and images.
Advantage – Management reports on system usage (number of users, common diagnoses, etc.)
Apply for a pilot with funding of 200,000 NIS