Handwritten Data Extraction Using OpenAI ChatGPT4o and Robotic Process Automation.

This paper proposes to create an Robotic Process Automation style application that can digitalize and extract data from handwritten medical forms. The RPA robot uses OpenAI ChatGPT4o model to extract handwritten medical data and transform it into typed data. The handwritten data is transcribed correctly at a rate of 100%.

Robotic Process Automation Based Data Extraction from Handwritten Medical Forms.

This paper proposes to create an RPA(robotic process automation) based software robot that can digitalize and extract data from handwritten medical forms. The RPA robot uses a taxonomy that is specific for the medical form and associates the extracted data with the taxonomy. This is accomplished using UiPath studio to create the robot, Google Cloud Vision OCR(optical character recognition) to create the DOM (digital object model) file and UiPath machine learning (ML) API to extract the data from the medical form.

The Consequence of Repetitive Heavy Object Lifting on the Normal Standing Posture of Factory Workers.

Low back pain is one of the most common physical symptom and is frequently related with an abnormal body posture. It may be caused by poor upper body and limb coordination; repetitive lifting of heavy objects or poor working are ergonomics. This study analysis the consequence of repetitive heavy lifting on the normal standing posture of factory workers.

Computer Assisted Oswestry Disability Questionnaire Evaluation Using Fuzzy Inference Systems.

This paper proposes the evaluation of the Oswestry Disability Index (ODI) using a fuzzy inference system. The ODI is used to evaluate the impact of the low back pain on the patient's quality of life. The patient grades from 0 to 5 a number of 10 questions regarding usual daily activities.

Measuring the Negative Impact of Long Sitting Hours at High School Students Using the Microsoft Kinect.

This paper suggests the usage of the Microsoft Kinect to detect the onset of the scoliosis at high school students due to incorrect sitting positions. The measurement is done by measuring the overall posture in orthostatic position using the Microsoft Kinect. During the measuring process several key points of the human body are tracked like the hips and shoulders to form the postural data.

A Virtual Patient Representation in the Medical Rehabilitation Domain.

This paper proposes a virtual patient (VP) for the medical rehabilitation domain using the digital representation of the real life patient's matchstick skeleton. This virtual patient is used to analyze and track the recovery of the orthopedic patient with malicious posture problems. The creation of the digital patient was realized using a markerless depth camera, the Microsoft Kinect.