Abstract: An ophthalmic system for generating an ocular model of an eye includes an optical coherence tomography (OCT) device, an aberrometer, and a computer. The OCT device detects OCT light reflected from the eye. The aberrometer detects aberrometer light reflected from the eye. The computer generates the ocular model of the eye according to the reflected OCT light. The ocular model includes parameters describing the eye. The parameters include lens parameters that describe the lens of the eye. The computer determines an OCT-based wavefront according to the ocular model, determines an aberrometer-based wavefront according to the reflected aberrometer light, and compares the OCT-based and the aberrometer-based wavefronts. If the wavefronts differ beyond a predefined tolerance, the computer adjusts one or more values assigned to the parameters until the wavefronts satisfy the predefined tolerance. At least one adjusted value is assigned to a lens parameter.

Abstract: Systems and methods for tracking the position and condition of an eye during an ophthalmic procedure include an ophthalmic device configured to measure characteristics of an eye, an eye tracker configured to capture a stream of eye images, and a logic device configured to analyze the stream of images to determine whether the eye is fixating on a target object, detect a predetermined blink sequence in the first stream of images, delay for a predetermined tear stabilization period, start a stable tear film interval, and during the stable tear film interval, capture at least one measurement of the eye using the ophthalmic device when the eye is fixating. The blink sequence may include a plurality of blinks in succession and the detection of the blink sequence may include processing the images through a neural network trained to detect an open eye and/or a closed eye.

Abstract: An ophthalmic system for generating an ocular model of an eye includes an optical coherence tomography (OCT) device, an aberrometer, and a computer. The OCT device detects OCT light reflected from the eye. The aberrometer detects aberrometer light reflected from the eye. The computer generates the ocular model of the eye according to the reflected OCT light. The ocular model includes parameters describing the eye. The parameters include lens parameters that describe the lens of the eye. The computer determines an OCT-based wavefront according to the ocular model, determines an aberrometer-based wavefront according to the reflected aberrometer light, and compares the OCT-based and the aberrometer-based wavefronts. If the wavefronts differ beyond a predefined tolerance, the computer adjusts one or more values assigned to the parameters until the wavefronts satisfy the predefined tolerance. At least one adjusted value is assigned to a lens parameter.

Abstract: Systems and methods for tracking the position and condition of an eye during an ophthalmic procedure include an ophthalmic device configured to measure characteristics of an eye, an eye tracker configured to capture a stream of eye images, and a logic device configured to analyze the stream of images to determine whether the eye is fixating on a target object, detect a predetermined blink sequence in the first stream of images, delay for a predetermined tear stabilization period, start a stable tear film interval, and during the stable tear film interval, capture at least one measurement of the eye using the ophthalmic device when the eye is fixating. The blink sequence may include a plurality of blinks in succession and the detection of the blink sequence may include processing the images through a neural network trained to detect an open eye and/or a closed eye.

Abstract: A method of verifying ophthalmic measurements includes obtaining, via an ophthalmic measurement device, a first measurement of at least one ophthalmic parameter over a first measurement area. The first measurement area corresponds to an unassisted visible area of a patient's eye. A second measurement of the at least one ophthalmic parameter over a second measurement area is obtained via the measurement device. The second measurement area corresponds to an assisted visible area of the patient's eye. The first measurement is compared to the second measurement. It is determined if the second measurement diverges from the first measurement. Responsive to a determination that the second measurement diverges from the first measurement, an alert that the second measurement is inaccurate is generated. Responsive to a determination that the second measurement does not diverge from the first measurement, the second measurement is accepted as accurate.

Abstract: A method of verifying ophthalmic measurements includes obtaining, via an ophthalmic measurement device, a first measurement of at least one ophthalmic parameter over a first measurement area. The first measurement area corresponds to an unassisted visible area of a patient's eye. A second measurement of the at least one ophthalmic parameter over a second measurement area is obtained via the measurement device. The second measurement area corresponds to an assisted visible area of the patient's eye. The first measurement is compared to the second measurement. It is determined if the second measurement diverges from the first measurement. Responsive to a determination that the second measurement diverges from the first measurement, an alert that the second measurement is inaccurate is generated. Responsive to a determination that the second measurement does not diverge from the first measurement, the second measurement is accepted as accurate.

Abstract: A multi-view diagnostic system includes an OCT engine and a plurality of optical elements defining a plurality of beam paths between the OCT engine and an ophthalmic target, with each beam path corresponding to a different viewing angle of the ophthalmic target. The system also includes a scanner to direct OCT imaging beams generated by the OCT engine toward the ophthalmic target along each respective beam path. Instructions stored in memory are executable by a processor to determine a characteristic of the ophthalmic target based on OCT light reflected by the ophthalmic target along each respective beam path and detected by the OCT engine.

Abstract: The present disclosure provides a non-invasive technique to determine a true set of refractive indices of a patient's eye in order to generate an accurate model of the patient's eye. Certain aspects provide a system for generating a three-dimensional reconstruction model of a patient's eye. The system includes an imaging device configured to generate first and second measurements of a patient's eye at first and second angles relative to a line of sight of the patient's eye. The system includes an image processor configured to generate a first and second plurality of models of the patient's eye based on applying a plurality of sets of refractive indices to the first and second measurements; identify a first model from the first plurality of models that is congruent with a second model from the second plurality of models; and determine a set of refractive indices associated with the first and second models.

Abstract: An ophthalmic system for analyzing data for a procedure includes a computer. The computer includes a memory, an interface device, and one or more processors that execute software. The memory stores procedure information for the procedure, and the interface device receives input and provide output. The one or more processors identify information from the procedure information that is crucial for the procedure, determine one or more recommendations to address the crucial information, and provide the crucial information and the one or more recommendations via the interface device.

Abstract: Certain aspects of the present disclosure provide techniques for performing surgical ophthalmic procedures, such as cataract surgeries. An example method generally includes generating, using one or more measurement devices, one or more data points associated with measurements of one or more anatomical parameters for an eye to be treated. Using one or more trained machine learning models, one or more recommendations are generated including one or more IOL parameters for the IOL to be used in the cataract surgery based, at least in part, on the one or more data points. The machine learning models are trained based on at least one historical data set of data points associated with measurements of anatomical parameters mapped to treatment data and treatment result data associated with each historical patient. The one or more IOL parameters comprise one or more of an IOL type, an IOL power, or IOL placement information for implanting the IOL in the eye.

Abstract: An ophthalmic system for generating a topography of an anterior corneal surface of an eye comprises an illuminator, cameras, and a computer. The illuminator illuminates the anterior corneal surface of the eye with a Placido pattern, which reflects the Placido pattern. Each camera generates an image of the reflected Placido pattern to yield multiple images. At least one camera is oriented off an axis of the eye. For each image, the computer calculates a curvature value for each data point of the image, where a data point corresponds to a surface point of the anterior corneal surface. The calculations yield curvature values for each surface point. The computer determines the curvature at each surface point from one or more curvature values for the surface point. The computer generates the topography of the anterior corneal surface from the curvatures at the surface points of the anterior corneal surface.

Abstract: An ophthalmic system for generating an ocular model of an eye includes an optical coherence tomography (OCT) device, an aberrometer, and a computer. The OCT device detects OCT light reflected from the eye. The aberrometer detects aberrometer light reflected from the eye. The computer generates the ocular model of the eye according to the reflected OCT light. The ocular model includes parameters describing the eye. The parameters include lens parameters that describe the lens of the eye. The computer determines an OCT-based wavefront according to the ocular model, determines an aberrometer-based wavefront according to the reflected aberrometer light, and compares the OCT-based and the aberrometer-based wavefronts. If the wavefronts differ beyond a predefined tolerance, the computer adjusts one or more values assigned to the parameters until the wavefronts satisfy the predefined tolerance. At least one adjusted value is assigned to a lens parameter.

Abstract: In certain embodiments, an ophthalmic system for assessing a tear film of an eye comprises measuring devices and a computer. The measuring devices detect light reflected from the eye, where an ocular surface of the eye comprises the tear film, and generate data from the reflected light that describes the eye. The computer aligns the data corresponding to the same location for a plurality of locations, assesses the data at the locations to detect one or more abnormalities of the tear film, and determines a tear film description from the assessment of the data at the locations.

Abstract: In certain embodiments, an ophthalmic system for determining the topography of the anterior surface of the cornea of an eye comprises an illuminator, a camera, and a computer. The illuminator illuminates the anterior surface of the cornea of the eye with a Placido pattern. The Placido pattern comprises a plurality of rings. A ring of the plurality of rings has a distinguishing feature that distinguishes the ring from an adjacent ring. The anterior surface of the cornea reflects the Placido pattern. The camera captures an image of the reflected Placido pattern. The computer: analyzes the image to detect a distortion of the ring that indicates an anomaly of the anterior surface of the cornea; identifies the ring of the plurality of rings according to the distinguishing feature of the ring; and generates the topography of the surface of the cornea that includes the anomaly.

Abstract: Disclosed are systems and methods for aligning an ophthalmic device with respect to an eye of a patient. In one disclosure, the system may include an ophthalmic device with an on-axis and an off-axis. The system may include an on-axis illuminator that emits light that is reflected by the eye of the patient to form an on-axis reflection having a center. The system may include an on-axis camera pointed along the on-axis. The system may include an off-axis illuminator that emits light that is reflected by the eye to form an off-axis reflection having a center. The system may include an off-axis camera pointed along the off-axis. The ophthalmic device may be operable to be aligned with respect to the eye of the patient when the on-axis is substantially normal to the center of the on-axis reflection and the off-axis is substantially normal to the center of the off-axis reflection.

Abstract: A method of verifying ophthalmic measurements includes obtaining, via an ophthalmic measurement device, a first measurement of at least one ophthalmic parameter over a first measurement area. The first measurement area corresponds to an unassisted visible area of a patient's eye. A second measurement of the at least one ophthalmic parameter over a second measurement area is obtained via the measurement device. The second measurement area corresponds to an assisted visible area of the patient's eye. The first measurement is compared to the second measurement. It is determined if the second measurement diverges from the first measurement. Responsive to a determination that the second measurement diverges from the first measurement, an alert that the second measurement is inaccurate is generated. Responsive to a determination that the second measurement does not diverge from the first measurement, the second measurement is accepted as accurate.

Abstract: Systems and methods for tracking the position and condition of an eye during an ophthalmic procedure include an ophthalmic device configured to measure characteristics of an eye, an eye tracker configured to capture a stream of eye images, and a logic device configured to analyze the stream of images to determine whether the eye is fixating on a target object, detect a predetermined blink sequence in the first stream of images, delay for a predetermined tear stabilization period, start a stable tear film interval, and during the stable tear film interval, capture at least one measurement of the eye using the ophthalmic device when the eye is fixating. The blink sequence may include a plurality of blinks in succession and the detection of the blink sequence may include processing the images through a neural network trained to detect an open eye and/or a closed eye.

Abstract: Disclosed are systems and methods for aligning an ophthalmic device with respect to an eye of a patient. In one disclosure, the system may include an ophthalmic device with an on-axis and an off-axis. The system may include an on-axis illuminator that emits light that is reflected by the eye of the patient to form an on-axis reflection having a center. The system may include an on-axis camera pointed along the on-axis. The system may include an off-axis illuminator that emits light that is reflected by the eye to form an off-axis reflection having a center. The system may include an off-axis camera pointed along the off-axis. The ophthalmic device may be operable to be aligned with respect to the eye of the patient when the on-axis is substantially normal to the center of the on-axis reflection and the off-axis is substantially normal to the center of the off-axis reflection.

Abstract: The present disclosure provides a system that may display a graphical user interface (GUI) that includes an icon via a display; may receive a first image from an image sensor; may determine, from the first image and a digital model of surgical tooling equipment, a first position of the surgical tooling equipment within the first image; may display a cursor of the GUI at a second position; may receive a second image from the image sensor; may determine, from the second image and the digital model, a third position of the surgical tooling equipment within the second image; may display the cursor of the GUI at a fourth position; may receive user input that indicates a selection while coordinates of the icon include the fourth position; and may determine that the user input that indicates the selection while the coordinates of the at least one icon include the fourth position.

Abstract: The present disclosure provides a system that may display a graphical user interface (GUI) via a display; may receive first user input that indicates that surgical tooling equipment is to be utilized as a pointer associated with the GUI; may receive first multiple images from an image sensor; and may determine a digital model of the surgical tooling equipment, from the first multiple images, that includes a pattern of the surgical tooling equipment. The system may further train the digital model based at least on the first multiple images. The system may further receive second multiple images via the image sensor. The system may further determine, from the second multiple images and the digital model, a pattern of movement of the surgical tooling equipment that is utilizable to select of an icon of the GUI. The system may include a microscope integrated display that includes the display.