Abstract: Particular embodiments disclosed herein provide an apparatus and corresponding methods for guiding ophthalmic surgery and enabling a surgeon to switch, after initiating surgery, between a primary treatment plan and one or more backup plans. Switching between a first plan and a second plan may be performed while omitting presentation of steps of the second plan compatible with implemented steps of the first plan. A treatment plan may include guides imposed on a live video of an eye of the patient that has been registered with respect to a pre-operative image. When switching between plans, initiating registration with respect to the pre-operative image is omitted. A treatment plan may define steps for placement of an IOL such as incision, rhexis, LRI, crystalline lens removal, placement of an IOL, alignment of a toric IOL, and post-operative data collection. Upon switching between first and second, previously implemented compatible steps are omitted from presentation of the second plan.

Abstract: A system for selecting a preferred intraocular lens for implantation into an eye includes a controller having a processor and a tangible, non-transitory memory. The controller is configured to obtain diagnostic data of the eye, and obtain historical data composed of historical sets of patient data. The controller is configured to analyze individual risk factors based on the diagnostic data and obtain a weighted combination of the individual risk factors. A respective satisfaction metric for the plurality of intraocular lenses is generated based on the historical data. A preferred intraocular lens may be selected based in part on the respective satisfaction metric and the weighted combination. A visual simulation for each of the plurality of intraocular lenses may be performed, based in part on the diagnostic data. The visual simulation may incorporate an impact of the tear film data.

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 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: An ophthalmic system for measuring an eye comprises measuring devices and a computer. The measuring devices comprise an optical coherence tomography (OCT) device and an aberrometer. The OCT device directs OCT light towards the eye, and detects the OCT light reflected from the eye to measure the eye. The aberrometer directs aberrometer light towards the eye, and detects the aberrometer light reflected from the eye to measure the eye. The computer generates an ocular model of the eye according to the reflected OCT light. The ocular model comprises parameters for the eye, where each parameter is assigned a value. The computer determines an OCT-based wavefront according to the ocular model, determines an aberrometer-based wavefront according to the reflected aberrometer light, ascertains a deviation between the OCT-based wavefront and the aberrometer-based wavefront, and evaluates measurements from one or more of the measuring devices according to the deviation.

Abstract: Certain aspects of the present disclosure provide techniques for predicting a likelihood of future failure of components in an ophthalmic medical device and performing preventative maintenance on the ophthalmic medical device. An example method generally includes receiving, from an ophthalmic medical device, measurements of one or more operational parameters associated with the ophthalmic medical device. Using one or more models, a future failure of the ophthalmic medical is predicted. The predictions are generated based, at least in part, on the received measurements of the one or more operational parameters. One or more actions are taken to perform preventative maintenance on the ophthalmic medical device based on the predicted future failure of the ophthalmic medical device.

Abstract: Systems and methods for non-invasively assessing ciliary muscle accommodative potential in phakic eyes may include receiving a plurality of signals generated by a plurality of bipolar electrodes during a ciliary muscle assessment procedure, each of the plurality of signals indicating an electrical field associated with a patient's ciliary muscle, and analyzing the signals to evaluate the patient's ciliary muscle accommodative potential.

Abstract: A method for assessing a lens capsule stability condition in an eye of a human patient includes directing electromagnetic energy in a predetermined spectrum onto a pupil of the eye, via an energy source, concurrently subsequent to a movement of the eye causing eye saccades to occur therein. The method also includes acquiring images of the eye indicative of the eye saccades using an image capture device, and computing, via the ECU, a motion curve of the lens capsule using the images. Additionally, the method includes extracting time-normalized lens capsule oscillation traces based on the motion curve via the ECU, and then model-fitting the lens capsule oscillation traces via the ECU to thereby assess the lens capsule instability condition. An automated system for performing an embodiment of the method is also disclosed herein, including the energy source, image capture device, and ECU.

Abstract: A system and method for selecting a preferred intraocular lens, for implantation into an eye, includes a controller having a processor and a tangible, non-transitory memory on which instructions are recorded. The controller is in communication with a diagnostic module adapted to store pre-operative anatomic data of the eye as an eye model. The controller is configured to determine respective imputed post-operative variables for each of a plurality of intraocular lenses, via a projection module. A respective pseudophakic eye model is generated for each of the plurality of intraocular lenses by incorporating the respective imputed post-operative variables into the eye model. A ray tracing module is executed in the respective pseudophakic eye model to determine at least one respective metric for the plurality of intraocular lenses. The preferred intraocular lens is selected based on a comparison of the respective metric.

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: A system and method for selecting an intraocular lens, for implantation into an eye, includes a controller having a processor and a tangible, non-transitory memory on which instructions are recorded. The controller is configured to selectively execute a machine learning model trained with a training dataset. Execution of the instructions by the processor causes the controller to obtain pre-operative objective data for the patient, including one or more anatomic eye measurements. The controller is configured to obtain pre-operative questionnaire data for the patient, including at least one personality trait. The pre-operative objective data and the pre-operative questionnaire data are entered as respective inputs to the machine learning model. A predicted subjective outcome score for the patient is generated as an output of the machine learning model. The intraocular lens is selected based in part on the predicted subjective outcome score.

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: An ophthalmic lens includes an optic having an anterior surface with an anterior surface radius of curvature (R1) and a posterior surface with a posterior surface radius of curvature (R2). The anterior surface radius of curvature (R1) and the posterior surface radius of curvature (R2) define a shape factor (X) (where X=(R2?R1)/(R2+R1)) that is greater than zero. The shape factor (X) corresponds to a curve defining shape factor (X) as a function of lens power (P), the curve monotonically decreasing with increased lens power (P).

Abstract: A powered case is provided that includes a case, configured to hold an electroactive medical device with an integrated battery; an energizing system, configured to provide electric energy; and an energy transfer system, configured to receive energy from the energizing system; and to transfer the received energy to the integrated battery of the electroactive medical device. Further, a medical device system is provided that can include an electroactive medical device, including an integrated battery; and a powered case, including a case, configured to hold the electroactive medical device with the integrated battery; an energizing system, configured to provide electric energy; and an energy transfer system, configured to receive energy from the energizing system; and to transfer the received energy to the integrated battery of the electroactive medical device.

Abstract: Disclosed herein is an implantable accommodative IOL device for insertion into an eye of a patient, the device comprising an active element and a passive element. The active element has a first thickness and first refractive index, and the active element comprises an electrically responsive optical lens having variable optical power. The passive element has a second thickness and a second refractive index, and the passive element and the active element are aligned along a central axis extending perpendicularly through a central region of the device. The active element and the passive element comprise individual and separate optical lenses.

Abstract: A powered case is provided that includes a case, configured to hold an electroactive medical device with an integrated battery; an energizing system, configured to provide electric energy; and an energy transfer system, configured to receive energy from the energizing system; and to transfer the received energy to the integrated battery of the electroactive medical device. Further, a medical device system is provided that can include an electroactive medical device, including an integrated battery; and a powered case, including a case, configured to hold the electroactive medical device with the integrated battery; an energizing system, configured to provide electric energy; and an energy transfer system, configured to receive energy from the energizing system; and to transfer the received energy to the integrated battery of the electroactive medical device.

Abstract: An electro-active ophthalmic lens includes an electromyography sensor, a processor, and an electro-active optical element. The electromyography sensor is configured to detect an electric field in a ciliary muscle of the eye that is proportional to a force exerted by the ciliary muscle and to generate a sensor signal indicative of the electric field. The processor is operable to receive the signal from the electromyography sensor and to determine, based on the sensor signal, an adjustment to optical power for an electro-active optical element and to generate a control signal for the electro-active optical element. The electro-active optical element is operable to receive the control signal and to change an optical power of the electro-active optical element in response to the control signal.

Abstract: An electro-active ophthalmic lens includes an electromyography sensor, a processor, and an electro-active optical element. The electromyography sensor is configured to detect an electric field in a ciliary muscle of the eye that is proportional to a force exerted by the ciliary muscle and to generate a sensor signal indicative of the electric field. The processor is operable to receive the signal from the electromyography sensor and to determine, based on the sensor signal, an adjustment to optical power for an electro-active optical element and to generate a control signal for the electro-active optical element. The electro-active optical element is operable to receive the control signal and to change an optical power of the electro-active optical element in response to the control signal.

Abstract: A method for optimizing a prescription for laser-ablation corneal treatment achieves the modification of wavefront-based refractive correction data with the use of user/doctor-input nomograms. Data comprising a wavefront description of a patient eye are received and displayed to a user, who can then make modifications to these treatment data. A modification is calculated based upon the desired correction to yield corrected wavefront description data, which are displayed to the user. A system includes a processor and a device for transmitting a wavefront description of a patient eye to the processor. An input device is adapted to receive a desired correction to the wavefront description data. Software is resident on the processor having code segments for implementing the calculations as described.