Abstract: This disclosure provides systems, methods, and devices for automatic product classification using deep learning and generative artificial intelligence (AI) models for a harmonized system (HS) product classification. A method includes generating embeddings based on an input dataset. The method includes applying a deep learning model to the embeddings to produce a prediction set including classifications corresponding to the embeddings. The method includes converting the classifications to a first set of similarity metrics. The method includes determining a second set of similarity metrics based on the embeddings using a semantic similarity model. The method includes generating a third set of similarity metrics based on an output of the semantic similarity model. The method includes outputting a ranked set of predictions corresponding to the input dataset based on the first set of similarity metrics, the second set of similarity metrics, and the third set of similarity metrics.

Abstract: A method includes displaying, on a graphical user interface, a planned position of a virtual implant model relative to a virtual bone model of a bone. The virtual implant model includes a plurality of virtual screw holes offset from a central axis of the virtual implant model. The method also includes determining a planned rotational orientation of the virtual implant model by rotating, on the graphical user interface, the virtual implant model about the central axis of the virtual implant model such that the plurality of virtual screw holes rotate about the central axis. The method also includes controlling a robotic device to guide preparation of the bone to receive a physical implant in the planned position. The method also includes providing computer-assisted navigation configured to guide the physical implant into physical rotational alignment with the planned rotational orientation of the virtual implant model.

Abstract: A method includes obtaining a surgical plan including a removal of a first physical implant from a bone and a replacement of the first physical implant with a second physical implant. The method also includes receiving a first virtual model including a first virtual implant model relative to a first virtual bone surface of a bone. The first virtual bone surface represents a first bone surface to which the first physical implant is coupled. The method also includes identifying a second bone surface resulting from removal of the first physical implant from the bone by tracking a position of a surgical tool relative to the bone. The method also includes detecting a discrepancy between the first bone surface and the second bone surface and displaying, on a graphical user interface, a visualization of the discrepancy.

Abstract: A method includes planning a planned pose of an implant cup. The planning includes planning screw trajectories associated with the implant cup. The method also includes positioning the implant cup using a robot, checking, prior to impaction and using a trackable probe, an actual pose of the implant cup relative to the planned pose, and performing the impaction of the implant cup.

Abstract: A method includes obtaining a surgical plan comprising a first planned position of an implant and a second planned position of an augment relative to a bone. The augment is planned to provide support between the bone and the implant. The method also includes preparing the bone to receive both the implant in the first planned position and the augment in the second planned position by controlling a robotic device based on the first planned position of the implant and the second planned position of the augment.

Abstract: This disclosure provides systems, methods, and devices for automatic product classification using deep learning and generative artificial intelligence (AI) models for a harmonized system (HS) product classification. A method includes generating embeddings based on an input dataset. The method includes applying a deep learning model to the embeddings to produce a prediction set including classifications corresponding to the embeddings. The method includes converting the classifications to a first set of similarity metrics. The method includes determining a second set of similarity metrics based on the embeddings using a semantic similarity model. The method includes generating a third set of similarity metrics based on an output of the semantic similarity model. The method includes outputting a ranked set of predictions corresponding to the input dataset based on the first set of similarity metrics, the second set of similarity metrics, and the third set of similarity metrics.

Abstract: A system for intra-operatively registering a pelvis comprising an acetabulum with a computer model of the pelvis in a coordinate system. The system may include: a) a surgical navigation system including a tracking device; and b) at least one computing device in communication with the surgical navigation system. The at least one computing device: i) receiving first data points from first intra-operatively collected points on an articular surface of the acetabulum, the first data points collected with the tracking device; ii) receiving a second data point from a second intra-operatively collected point on the pelvis, the second data point collected with the tracking device, the second data point corresponding in location to a second virtual data point on the computer model; and iii) determining an intra-operative center of rotation of the femur relative to the pelvis from the first data points.

Abstract: A registration system including a bone pin guide and a bone pin clamp. The bone pin guide may include a guide body, a first guide including a first guide through-hole having a first longitudinal axis, and a second guide including a second guide through-hole having a second longitudinal axis. The bone pin guide may guide first and second bone pins into a bone via the first and second guides. The bone pin clamp may include a clamp body, first, second, and third clamp through-holes extending through the clamp body, a plurality of registration indents defined on the clamp body, and a clamping mechanism including at least one adjustable fastener. The bone pin clamp may receive the first and second bone pins in the first and third clamp through-holes and guide a third bone pin into the bone via the second clamp through-hole.

Abstract: A system for intra-operatively registering a pelvis comprising an acetabulum with a computer model of the pelvis in a coordinate system. The system may include: a) a surgical navigation system including a tracking device; and b) at least one computing device in communication with the surgical navigation system. The at least one computing device: i) receiving first data points from first intra-operatively collected points on an articular surface of the acetabulum, the first data points collected with the tracking device; ii) receiving a second data point from a second intra-operatively collected point on the pelvis, the second data point collected with the tracking device, the second data point corresponding in location to a second virtual data point on the computer model; and iii) determining an intra-operative center of rotation of the femur relative to the pelvis from the first data points.

Abstract: A registration system including a bone pin guide and a bone pin clamp. The bone pin guide may include a guide body, a first guide including a first guide through-hole having a first longitudinal axis, and a second guide including a second guide through-hole having a second longitudinal axis. The bone pin guide may guide first and second bone pins into a bone via the first and second guides. The bone pin clamp may include a clamp body, first, second, and third clamp through-holes extending through the clamp body, a plurality of registration indents defined on the clamp body, and a clamping mechanism including at least one adjustable fastener. The bone pin clamp may receive the first and second bone pins in the first and third clamp through-holes and guide a third bone pin into the bone via the second clamp through-hole.

Abstract: A method includes obtaining a surgical plan comprising a first planned position of an implant and a second planned position of an augment relative to a bone. The augment is planned to provide support between the bone and the implant. The method also includes preparing the bone to receive both the implant in the first planned position and the augment in the second planned position by controlling a robotic device based on the first planned position of the implant and the second planned position of the augment.

Abstract: A system for facilitating arthroplasty procedures includes a robotic device, a reaming tool configured to interface with the robotic device, and a processing circuit communicable with the robotic device. The processing circuit is configured to obtain a surgical plan comprising a first planned position of an implant cup and a second planned position of an implant augment relative to a bone of a patient, determine a planned bone modification configured to prepare the bone to receive the implant cup in the first planned position and the implant augment in the second planned position, generate one or more virtual objects based on the planned bone modification, control the robotic device to constrain the cutting tool with the one or more virtual objects while the cutting tool interfaces with the robotic device and is operated to modify the bone in accordance with the planned bone modification.

Abstract: A system for facilitating arthroplasty procedures includes a robotic device, a reaming tool configured to interface with the robotic device, and a processing circuit communicable with the robotic device. The processing circuit is configured to obtain a surgical plan comprising a first planned position of an implant cup and a second planned position of an implant augment relative to a bone of a patient, determine a planned bone modification configured to prepare the bone to receive the implant cup in the first planned position and the implant augment in the second planned position, generate one or more virtual objects based on the planned bone modification, control the robotic device to constrain the cutting tool with the one or more virtual objects while the cutting tool interfaces with the robotic device and is operated to modify the bone in accordance with the planned bone modification.

Abstract: A system for intra-operatively registering a pelvis comprising an acetabulum with a computer model of the pelvis in a coordinate system. The system may include: a) a surgical navigation system including a tracking device; and b) at least one computing device in communication with the surgical navigation system. The at least one computing device: i) receiving first data points from first intra-operatively collected points on an articular surface of the acetabulum, the first data points collected with the tracking device; ii) receiving a second data point from a second intra-operatively collected point on the pelvis, the second data point collected with the tracking device, the second data point corresponding in location to a second virtual data point on the computer model; and iii) determining an intra-operative center of rotation of the femur relative to the pelvis from the first data points.

Abstract: A system for intra-operatively registering a pelvis comprising an acetabulum with a computer model of the pelvis in a coordinate system. The system may include: a) a surgical navigation system including a tracking device; and b) at least one computing device in communication with the surgical navigation system. The at least one computing device: i) receiving first data points from first intra-operatively collected points on an articular surface of the acetabulum, the first data points collected with the tracking device; ii) receiving a second data point from a second intra-operatively collected point on the pelvis, the second data point collected with the tracking device, the second data point corresponding in location to a second virtual data point on the computer model; and iii) determining an intra-operative center of rotation of the femur relative to the pelvis from the first data points.

Abstract: A registration system including a bone pin guide and a bone pin clamp. The bone pin guide may include a guide body, a first guide including a first guide through-hole having a first longitudinal axis, and a second guide including a second guide through-hole having a second longitudinal axis. The bone pin guide may guide first and second bone pins into a bone via the first and second guides. The bone pin clamp may include a clamp body, first, second, and third clamp through-holes extending through the clamp body, a plurality of registration indents defined on the clamp body, and a clamping mechanism including at least one adjustable fastener. The bone pin clamp may receive the first and second bone pins in the first and third clamp through-holes and guide a third bone pin into the bone via the second clamp through-hole.

Abstract: A registration system including a bone pin guide and a bone pin clamp. The bone pin guide may include a guide body, a first guide including a first guide through-hole having a first longitudinal axis, and a second guide including a second guide through-hole having a second longitudinal axis. The bone pin guide may guide first and second bone pins into a bone via the first and second guides. The bone pin clamp may include a clamp body, first, second, and third clamp through-holes extending through the clamp body, a plurality of registration indents defined on the clamp body, and a clamping mechanism including at least one adjustable fastener. The bone pin clamp may receive the first and second bone pins in the first and third clamp through-holes and guide a third bone pin into the bone via the second clamp through-hole.

Abstract: A registration system including a bone pin guide and a bone pin clamp. The bone pin guide may include a guide body, a first guide including a first guide through-hole having a first longitudinal axis, and a second guide including a second guide through-hole having a second longitudinal axis. The bone pin guide may guide first and second bone pins into a bone via the first and second guides. The bone pin clamp may include a clamp body, first, second, and third clamp through-holes extending through the clamp body, a plurality of registration indents defined on the clamp body, and a clamping mechanism including at least one adjustable fastener. The bone pin clamp may receive the first and second bone pins in the first and third clamp through-holes and guide a third bone pin into the bone via the second clamp through-hole.

Abstract: A system for intra-operatively registering a pelvis comprising an acetabulum with a computer model of the pelvis in a coordinate system. The system may include: a) a surgical navigation system including a tracking device; and b) at least one computing device in communication with the surgical navigation system. The at least one computing device: i) receiving first data points from first intra-operatively collected points on an articular surface of the acetabulum, the first data points collected with the tracking device; ii) receiving a second data point from a second intra-operatively collected point on the pelvis, the second data point collected with the tracking device, the second data point corresponding in location to a second virtual data point on the computer model; and iii) determining an intra-operative center of rotation of the femur relative to the pelvis from the first data points.

Abstract: A system for intra-operatively registering a pelvis comprising an acetabulum with a computer model of the pelvis in a coordinate system. The system may include: a) a surgical navigation system including a tracking device; and b) at least one computing device in communication with the surgical navigation system. The at least one computing device: i) receiving first data points from first intra-operatively collected points on an articular surface of the acetabulum, the first data points collected with the tracking device; ii) receiving a second data point from a second intra-operatively collected point on the pelvis, the second data point collected with the tracking device, the second data point corresponding in location to a second virtual data point on the computer model; and iii) determining an intra-operative center of rotation of the femur relative to the pelvis from the first data points.