Provided are computer-implemented methods and systems for generating and/or utilizing data analysis algorithm(s) for predicting and/or detecting a clinical condition related to insertion of a medical instrument toward a target in a body of a patient based, inter alia, on data related to an automated medical device and/or to operation thereof.

A method for estimating an ear geometry of an ear of a user with a hearing device, the hearing device comprising an ear canal microphone, an external microphone, and a receiver, includes: obtaining an external input signal using the external microphone; providing an output signal by the receiver; obtaining an ear canal microphone input signal using the ear canal microphone; and estimating the ear geometry based on the external input signal and the ear canal microphone input signal.

The present invention relates to a method and system that automatically finds, segments and measures lesions in medical images following the Response Evaluation Criteria In Solid Tumours (RECIST) protocol. More particularly, the present invention produces an augmented version of an input computed tomography (CT) scan with an added image mask for the segmentations, 3D volumetric masks and models, measurements in 2D and 3D and statistical change analyses across scans taken at different time points. According to a first aspect, there is provided a method for determining volumetric properties of one or more lesions in medical images comprising the following steps: receiving image data; determining one or more locations of one or more lesions in the image data; creating an image segmentation (i.e. mask or contour) comprising the determined one or more locations of the one or more lesions in the image data and using the image segmentation to determine a volumetric property of the lesion.

A system and method for constructing fluoroscopic-based three dimensional volumetric data from two dimensional fluoroscopic images including a computing device configured to facilitate navigation of a medical device to a target area within a patient and a fluoroscopic imaging device configured to acquire a fluoroscopic video of the target area about a plurality of angles relative to the target area. The computing device is configured to determine a pose of the fluoroscopic imaging device for each frame of the fluoroscopic video and to construct fluoroscopic-based three dimensional volumetric data of the target area in which soft tissue objects are visible using a fast iterative three dimensional construction algorithm.

The present disclosure relates in general to a device and a method for providing a measure of a circumference of a body part. More specifically, the present disclosure relates to how to provide a measure of a circumference of a body part, wherein the body part may have swelled, such that it for example can be observed whether the body part swells further or less. Most specifically, the swelled body part may be swelled due to oedema and/or lymphoedema.

The present disclosure is directed to methods of predicting overall survival, monitoring, and selecting treatments for a glioblastoma (GBM) patient. The method of the present disclosure includes obtaining at least one morphometric image from the GBM patient, identifying at least one radiomic biomarker based on the at least one morphometric image, and determining an overall survival value based on the at least one radiomic biomarker.

For patient weight estimation in a medical imaging system, a patient model, such as a mesh, is fit to a depth image. One or more feature values are extracted from the fit patient model, reducing the noise and clutter in the values. The weight estimation is regressed from the extracted features.

Some methods of analyzing one or more brain lesions of a patient comprise, for each of the lesion(s), calculating one or more lesion characteristics from a first 3-dimensional (3D) representation of the lesion obtained from data taken at a first time and a second 3D representation of the lesion obtained from data taken at a second time that is after the first time. The characteristic(s) can include a change, form the first time to the second time, in the lesion's volume and/or surface area, the lesion's displacement from the first time to the second time, and/or the lesion's theoretical radius ratio at each of the first and second times. Some methods comprise characterizing whether the patient has multiple sclerosis and/or the progression of multiple sclerosis in the patient based at least in part on the calculation of the lesion characteristic(s) of each of the lesion(s).

Systems and methods include differential diagnosis for acute heart failure to provide treatment to a patient including determining whether the patient has cardiac volume overload, determining whether the patient has decreased abdominal venous system volume, and providing the appropriate treatment in response to the determinations. A multi-sensor system may be used to determine cardiac volume and abdominal venous system volume. Fluid redistribution treatment may be provided when cardiac volume overload is accompanied by a decrease in abdominal venous system volume. Fluid accumulation treatment may be provided when cardiac volume overload is not accompanied by a decrease in abdominal venous system volume.

Measurement apparatus (20) includes a garment (24, 26, 140, 160) including an elastic fabric (27) having a predefined pattern (28) extending across a surface thereof and configured to be worn over a part of a body of a subject (22), such that the elastic fabric stretches across the part of the body. A camera (30, 80) is configured to capture images of the pattern while contacting and traversing across the surface of the fabric while the subject wears the garment. At least one processor (32, 36, 60) is configured to process the images captured by the camera at multiple locations on the surface of the fabric so as measure a local deformation of the pattern at the multiple locations due to stretching of the fabric, and to compute a dimension of the part of the body responsively to the measured deformation.