A method for destroying a cancerous tumor. The method includes putting two electrodes of an electrical probe in contact with a portion of the cancerous tumor, plotting an impedance phase diagram by measuring a set of electrical impedance phase values from the portion of the cancerous tumor at end of a respective set of pre-determined time steps, destroying cancer cells of the portion of the cancerous tumor within each time step of the respective set of pre-determined time steps by electrolyzing peripheral medium surrounding the cancer cells of the portion of the cancerous tumor by applying a direct current (DC) voltage between the two electrodes, and stopping destroying of the cancer cells responsive to a complete destruction of the portion of the cancerous tumor, where the complete destruction includes obtaining a positive slope of the impedance phase diagram (IPS).

A method for real-time and in-vivo detecting cancerous status of a suspected mass to in a living body. The method includes putting two electrodes of an electrical probe in contact with the suspected mass, recording an electrical impedance spectroscopy (EIS) from the suspected mass utilizing an impedance analyzer device connected to the electrical probe by plotting an impedance phase diagram respective to a swept range of frequencies while applying an alternating current (AC) voltage between the two electrodes, calculating an impedance phase slope (IPS) of the plotted impedance phase diagram in a frequency range between 100 kHz and 500 kHz, and detecting cancerous status of the suspected mass based on the calculated IPS. Detecting cancerous status of the suspected mass based on the calculated IPS includes detecting the suspected mass is a cancerous mass or a precancerous mass if the calculated IPS is less than a reference IPS.

A method for obtaining a probability in a 3D probability map, includes: obtaining at least one value of at least one parameter for each stop of a 3D moving window, wherein a first, second, third and fourth of the stops are partially overlapped, the first and second stops are shifted from each other by a distance equal to a first dimension of a computation voxel, the first and third stops are shifted from each other by a distance equal to a second dimension of the computation voxel, and the first and fourth stops are shifted from each other by a distance equal to a third dimension of the computation voxel; matching the at least one value to a classifier to obtain a first probability for each stop of the 3D moving window; and calculating a second probability for the computation voxel based on information associated with the first probabilities for the first through fourth stops.

A method for identifying cancerous status of margins of a tumor. The method includes putting at least two electrodes of a bioimpedance sensor in contact with a target region of surface of a freshly dissected tumor tissue, measuring two impedimetric criteria associated with the target region, and detecting cancerous status of the target region based on the two measured impedimetric criteria. The two measured impedimetric criteria includes an electrical impedance magnitude of the target region at a frequency of 1 kHz (Z.sub.1 kHz) and an impedance phase slope (IPS) of the target region in a frequency range of 100 kHz to 500 kHz.

Currently most cancers, including breast cancers, are removed without any intraoperative margin control. Post-operative methods inspect 1-2% of the surgical margin and are prone to sampling errors. The present invention relates to an optical imaging system that will enable evaluation of the surgical margin in vivo and in real-time. The invention provides for simultaneous fluorescence and fluorescence polarization imaging. The contrast of the acquired images will be enhanced using fluorescent agents approved for diagnostic use in patients. As the staining pattern of fluorescence images is similar to that of histology, and the values of fluorescence polarization are significantly higher in cancerous as compared to normal cells, the invention provides for further improvements in diagnostic methods. The systems and methods can be applied to the intra-operative delineation of cancerous tissue.

There is provided a computer implemented method for detection of likelihood of malignancy in an anatomical image of a patient for treatment planning, comprising: receiving an anatomical image, feeding the anatomical image into a global component of a model trained to output a global classification label, feeding the anatomical image into a local component of the model trained to output a localized boundary, feeding the anatomical image patch-wise into a patch component of the model trained to output a patch level classification label, extracting a respective set of regions of interest (ROIs) from each one of the components, each ROI indicative of a region of the anatomical image likely to include an indication of malignancy, aggregating the ROIs from each one of the components into an aggregated set of ROIs, and feeding the aggregated set of ROIs into an output component that outputs an indication of likelihood of malignancy.

A smart bra to detect abnormal breast tissue with a plurality of light emitters which transmit near-infrared light into breast tissue and a plurality of light receivers which receive the light after it has passed through breast tissue, wherein changes in light intensity or spectral distribution in the light caused by passing through the breast tissue are used to identify abnormal breast tissue.

A method for determining a recurrence of a disease in a patient is presented. The method includes generating a plurality of medical images of an organ of the patient and determining a plurality of recurrence probabilities from the plurality of medical images. A recurrence of the disease is determined based on the plurality of recurrence probabilities and clinicopathological data of the patient using a Bayesian network.

A biophotonic medical device for detection of abnormalities in human tissue. A method for noninvasive detection of a failed breast implant. A method for medical diagnosis of abnormalities in human tissue by adjusting the positioning of a light source and an adjacent light detector on a single surface of a target region.

A measurement system comprising one or more semiconductor diodes configured to penetrate tissue comprising skin. The detection system comprising a camera, which may also include a direct or indirect time-of-flight sensor. The detection system synchronized to the pulsing of the semiconductor diodes, and the camera further coupled to a processor. The detection system non-invasively measuring blood within the skin, measuring hemoglobin absorption between 700 to 1300 nm, and the processor deriving physiological parameters and comparing properties between different spatial locations and variation over time. The semiconductor diodes may comprise vertical cavity surface emitting lasers, and the detection system may comprise single photon avalanche photodiodes. The measurement system may be used to observe eye parameters and differential blood flow. The system may be used with photo-bio-modulation therapy, or it may be used in advanced driver monitoring systems for multiple functions including head pose, eye tracking, facial authentication, and smart restraint control systems.