Devices, systems, and methods for localized delivery of a chemotherapy, hormonal therapy, or targeted drug/biologic therapy to a target tissue area of an internal body organ of a patient. Computer systems may be used for planning and navigation in super selective drug delivery via a tracheobronchial airway. A catheter may be used to form a sealed treatment chamber in a natural lumen extending through the target tissue area. Air is purged from the chamber, which is then filled with a liquid drug solution for an adequate treatment session time, solution volume and drug concentration to saturate the target tissue area, thereby providing the treatment. The liquid drug solution may be circulated or recirculated through the chamber or maintained stationary therewithin to saturate the target tissue area. The chamber is evacuated at the end of the treatment session.

A method for determining an abnormality in a medical device from a medical image is provided. The method for determining an abnormality in a medical device comprises receiving a medical image, and detecting information on at least a part of a target medical device included in the received medical image.

A system and method for patient positioning during radiotherapy. The system can include a patient support structure configured to receive a patient during a radiotherapy process using a radiotherapy source to deliver a therapy to the patient when positioned on the patient support structure, a patient positioning system configured to adjust a position of the patient support structure relative to the radiotherapy source, a flexible actuator configured to secure the patient to the patient support and adjust a position of the patient relative to the patient support, and an imaging system configured to acquire imaging data of the patient, the patient support, and the flexible actuator during the radiotherapy process.

A system and method for generating a fusion of volumetric images and surface scan images said system comprising: a processor configuring the system to: receive both a volumetric image tooth mesh and surface scan image tooth crown mesh from a same patient, registered to a similar coordinate system; segment by anatomical structure each of the registered meshes that are in common between each of the registered volumetric image tooth mesh and the surface scan tooth crown mesh; and recognize a fusion vertices for each of the segmented volumetric image tooth mesh and segmented surface scan tooth crown mesh for matching the recognized meshes; remove a surface fragment from the matched volumetric image mesh in common with the matched surface scan image mesh for removal from the volumetric image mesh; and fuse the meshes by triangulating the recognized fusion vertices.

A method for forming a virtual 3D mathematical model of a dental system, including receiving DICOM files representing the dental system; identifying number and location of voxels of tissues of the dental system; combining the voxels of the tissues into voxels of organs of the dental system; combining the organs into the virtual 3D mathematical model of the dental system, wherein the virtual 3D mathematical models supports linear, non-linear and volumetric measurements of the dental system; and presenting the virtual 3D mathematical model to a user. The DICOM files can be cone beam or multispiral computed tomography, MRT, PET and/or ultrasonography. The tissues include enamel, dentin, pulp, cartilage, periodontium, and/or jaw bone. The organs include teeth, gums, temporomandibular joint and/or jaw. A size of the voxels is typically between 40 μm and 200 μm.

Embodiments discussed herein facilitate determination of risk of recurrence of atrial fibrillation (AF) after ablation based on fractal features. One example embodiment is configured to generate a binary mask of at least a portion of a CT scan of a heart of a patient with AF; compute one or more radiomic fractal-based features from at least one of the binary mask or the portion of the CT scan; provide the one or more radiomic fractal-based features to a trained machine learning (ML) classifier; and receive a prediction from the trained ML classifier of whether or not the AF will recur after AF ablation, wherein the prediction is based at least in part on the one or more radiomic fractal-based features.

The present disclosure relates to a data acquisition device and a configuration method. The device includes a channel, wherein the channel includes a data control panel and a plurality of detection components. At least one of the plurality of detection components is directly connected to the data control panel. The data control panel may be configured to identify the channel and send a configuration command to the plurality of detection components. The plurality of detection components may determine channel location numbers of the plurality of detection components based on the configuration command and send the channel location numbers to the data control panel. The data control panel may determine identification numbers for the plurality of detection components based on the channel location numbers and allocate the identification numbers to the plurality of detection components.

Systems and methods for destroying or inhibiting cancer cells and other rapidly-dividing cells include coupling an alternating polarity (AP) magnetic field generator to a target body area and applying an AP magnetic field having a frequency of 0.5-500 kHz and a field strength of 0.5-5 mT to the target body area to achieve a desired inhibiting effect on cancer cells or other rapidly-dividing cells. Treatments provided by the system may be co-administered with an anti-cancer drug such as a chemotherapy drug, a hormone therapy drug, targeted therapy drugs, immunotherapy drugs, or an angiogenesis inhibitor drug.

An imaging system and methods including a gantry defining a bore and an imaging axis extending through the bore, and at least one support member that supports the gantry such that the imaging axis has a generally vertical orientation, where the gantry is displaceable with respect to the at least one support member in a generally vertical direction. The imaging system may be configured to obtain a vertical imaging scan (e.g., a helical x-ray CT scan), of a patient in a weight-bearing position. The gantry may be rotatable between a first position, in which the gantry is supported such that the imaging axis has a generally vertical orientation, and a second position, such that the imaging axis has a generally horizontal orientation. The gantry may be displaceable in a horizontal direction and the system may perform a horizontal scan of a patient or object positioned within the bore.

Rather than rely on variation from physician to physician and limited imaging information for assessing plaque vulnerability of a patient, medical imaging and other information are used by a machine-implemented classifier to predict plaque rupture. Anatomical, morphological, hemodynamic, and biochemical features are used in combination to classify plaque.