Patent AU-2021101734-A4 (AU)
Title: Smart healthcare solutions for patient monitoring and predicting pathological status using AI and IoT-Based Technology
Inventor: SINGH LAXMAN
IPC: G16Y10/60
Filed: 2021-04-06
Granted: 2021-05-20
Abstract: Our invention "Smart healthcare solutions for patient monitoring and predicting 
pathological status using Al" It is a framework approach for medical experts that 
provides a network of more than one global medical data processing unit attached to 
the network. The innovation consists of two formats that first convey global data in a 
given form and second, a server connected to the system to store the data for each 
person in the presented clearly. Our innovation is a clinical psychologist method of 
tracking for an individual that involves a processor connected to many portable 
electronic devices or mobile devices of wireless node and more than one wireless 
node in customer contact. It also intends to provide complicated laptop agents with 
specified rules enforced by the intelligent processor that will react to a specified 
health condition contact for the consumer and to interact with another computer
implements complicated agency with any defined agent. The Invention also includes a 
data acquisition through sensors and IOT platform for sending the collected 
information to the server or cloud and the IOT framework that we shall use for 
communication between sensor and server for data collection, storage and 
distribution. The invented technology is also an interfacing of IOT module and 
machine learning based decision support systems. The invented methods also the 
treatment expert and upon receiving a communication from the client and also the 
processor selecting more than one computer-implemented defined agents to reply 
with instruction on healthy client normal and complex behavior. The invention is 
also including a method for annotating a tissue slide image, a system, and a method 
improved by a computing system for detecting pathological anomalies in an analog 
and digital pathology image are disclosed. The developed tool used in a computer 
system to diagnose different clinical lab abnormalities in analog and digital convent 
pathology in a binary image then provides the computer system with a clinical 
diagnostic picture. It predicts and analyses the digital pathology picture with an ID 
device. The approach and procedure often apply to an ID device utilizing a machine 
learning system to recognize an entity with an irregular image pattern by using an ID 
model loaded in the ID unit and to determine whether the abnormal image pattern is 
an unusual clinical phenomenon by using a complex recognition unit.  
16
DW Clinical boundary 
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FIG.3: Independent ML decision making support systems in medical.