Daniel L Lieberman

US Patent:

6837905, Jan 4, 2005

Filed:

Sep 26, 2002

Appl. No.:

10/257000

Inventors:

Daniel M. Lieberman - Phoenix AZ, US

International Classification:

A61F 244
A61F 500

US Classification:

623 1716, 606 61

Abstract:

An implant and method for fusion of adjacent vertebra. The implant has a curved plate having bores for reception of bone screws. In one embodiment, aligned medial sots extend longitudinally in the plate. An interbody graft is attached to or is integrally formed with the plate. In use, retraction post are temporarily secured to adjacent vertebrae and the slots aligned with posts. The graft is inserted and adjacent vertebrae are compressed and held until permanent screw fixation is completed. The compression tool and the posts are removed leaving the vertebrae compressed against the graft to promote healing. In an alternate embodiment, the plate carries multiple grafts which are slidably relative to the plate.

US Patent:

20050043673, Feb 24, 2005

Filed:

Aug 22, 2003

Appl. No.:

10/646903

Inventors:

Daniel Lieberman - Phoenix AZ, US

International Classification:

A61M001/00

US Classification:

604028000, 604043000

Abstract:

A dual lumen catheter provides for percutaneous drainage of a subdural hematoma to irrigate and drain the subdural space. The dual lumen catheter comprises a drainage channel dimensioned to drain subdural fluid collection from the subdural space and an irrigation channel dimensioned to irrigate the subdural space. Several methods are disclosed for inserting the dual lumen catheter into the subdural space through a small burr hole drilled in the skull. The dual lumen catheter then both irrigates and drains the subdural space in order to both effectively evacuate a subdural hematoma as well as cleanse the subdural space. The subdural space is thereby effectively collapsed, and the brain returns to be adjacent to the dura mater and skull.

US Patent:

20050070919, Mar 31, 2005

Filed:

Sep 23, 2004

Appl. No.:

10/947798

Inventors:

Daniel Lieberman - Phoenix AZ, US

International Classification:

A61F011/00

US Classification:

606108000

Abstract:

The device of the present invention guides the insertion of a medical device into the spinal epidural space of a vertebral column. Preferably, the device will be dimensioned to guide insertion of a medical device through a tubular retractor. Further preferably, the device may be used by surgeons to dissect the dura mater away from the lamina. Still further preferably, the device would protect the spinal cord from injury during insertion of a spinal cord stimulator by guiding the spinal cord stimulator through the epidural space at an angle substantially parallel to the spinal cord.

US Patent:

20060142782, Jun 29, 2006

Filed:

Dec 28, 2004

Appl. No.:

11/024213

Inventors:

Daniel Lieberman - Phoenix AZ, US

International Classification:

A61F 11/00

US Classification:

606108000

Abstract:

The assembly and method of the present invention guides the insertion of a medical device, such as a guide wire, into the subdural space surrounding the brain of a vertebrate. Preferably, the assembly is dimensioned to guide insertion of the medical device in a direction substantially tangent to the curvature of the brain. Further preferably, the assembly would allow its removal from the subdural space without disturbance of the location of the medical device. Still further preferably, the assembly will help to protect the brain from injury during insertion of the medical device into the subdural space.

US Patent:

20070050205, Mar 1, 2007

Filed:

Aug 30, 2005

Appl. No.:

11/215656

Inventors:

Daniel Lieberman - Phoenix AZ, US

International Classification:

G06Q 10/00
G06Q 40/00

US Classification:

705002000, 705035000

Abstract:

A system and method for payment of health care costs. A bank holds a plurality of health savings accounts. Proceeds from the accounts may be used to pay for medical services provided by health care providers, with whom the bank has negotiated service rates. Coding information relating to the services provided, and for which payment is made from the health savings account, may be transmitted from the health care provider to the bank.

US Patent:

20070276695, Nov 29, 2007

Filed:

May 26, 2006

Appl. No.:

11/420678

Inventors:

Daniel M. Lieberman - Phoenix AZ, US

International Classification:

G06Q 10/00
G06Q 40/00
G07G 1/14

US Classification:

705 2, 705 40, 705 14

Abstract:

A system and method for payment of health care costs. A host operates a web-based marketplace that may be accessed by a plurality of patients and health care providers. In one embodiment, patients may search for health care providers at the marketplace, utilizing one or more of a plurality of criteria, including price. In one embodiment, payments by patients to health care providers may be made using funds from a health savings account.

US Patent:

20200075164, Mar 5, 2020

Filed:

Sep 5, 2018

Appl. No.:

16/122100

Inventors:

Daniel M. Lieberman - Phoenix AZ, US

International Classification:

G16H 50/20
G06N 5/04
G06N 99/00
G06F 17/30
G16H 30/40

Abstract:

Systems and methods are disclosed for determining the appropriateness of medical interventions. In one embodiment, a machine learning system for determining the appropriateness of a selected medical intervention includes health-related data sources, the health-related data sources providing at least one data file of a first type, and a second data file of a second type. A machine learning module is configured to receive the first and second data files, perform a normalization procedure on at least one of the first and second data files, and apply at least one previously trained machine learning model to the normalized data files to produce a prediction output. The prediction output may include a confidence level associated with an appropriateness of the selected medical intervention.

US Patent:

20200075165, Mar 5, 2020

Filed:

Nov 14, 2018

Appl. No.:

16/190874

Inventors:

Daniel M. Lieberman - Phoenix AZ, US

International Classification:

G16H 50/20
G06N 3/08
G06N 3/04
G16H 30/20
G06F 17/27
G06T 11/00

Abstract:

Machine learning systems and methods are provided for predicting outcomes of a selected medical intervention. The system includes a number of health-related data sources, the health-related data sources providing at least one data file of a first type, and a second data file of a second type. The system further includes a normalization module configured to receive the first and second data files and perform a normalization procedure on at least one of the first and second data files, and a previously trained machine learning model configured to receive the normalized data files and produce a prediction output including a set of confidence levels associated with a respective set of patient outcomes.