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IC:A61B5/08 AND EN_ALLTXT:(coronavirus OR coronaviruses OR coronaviridae OR coronavirinae OR orthocoronavirus OR orthocoronaviruses OR orthocoronaviridae OR orthocoronavirinae OR betacoronavirus OR betacoronaviruses OR betacoronaviridae OR betacoronavirinae OR sarbecovirus OR sarbecoviruses OR sarbecoviridae OR sarbecovirinae OR "severe acute respiratory syndrome" OR sars OR "2019 ncov" OR covid)

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1.2020102382AN ARTIFICIAL INTELLIGENCE BASED SYSTEM FOR COVID PREVENTION
AU 08.10.2020
Int.Class G16H 50/20
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
20for computer-aided diagnosis, e.g. based on medical expert systems
Appl.No 2020102382 Applicant Bhasin, Narinder Kumar DR Inventor
The present invention relates to an artificial intelligence based system for COVID prevention. The proposed invention incorporates a definite number of subsystems each enabling checks and/or preventive actions against the most obvious symptoms of coronavirus. The invention has to be deployed at the entry point of the place of human assembly restricts the virus-infected people from entering the premise
2.10888283COVID-19 symptoms alert machine (CSAM) scanners
US 12.01.2021
Int.Class A61B 5/00
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
Appl.No 16917896 Applicant Boonsieng Benjauthrit Inventor Boonsieng Benjauthrit

A COVID-19 Symptoms Alert Machine (CSAM) scanner, or apparatus, is described herein. This apparatus employs Artificial Intelligent (AI) technology in combination with the latest mobile device technology (viz. smart phone/smart watch) to quickly help track down people who have COVID-19 symptoms anywhere and anytime, isolate them, and professionally handle them, not allowing SARS-CoV-2 virus to spread. CSAM automatically measures body temperature and assesses lung conditions such as pulmonary fibrosis and B-lines (for asymptomatic people), and other current health vital information (CHVI), furnished by the participant, such as fever, sore throat, headache, and body ache to generate an alert signal when COVID-19 symptoms are found significant and to send it out to a COVID-19 control center. The alerted participant is then immediately required to go to the COVID-19 control center or be picked up by a special COVID-19 emergency vehicle for isolation and further evaluation and testing. If the testing turns out to be COVID-19 positive, the participant will be quarantined and treated appropriately according to COVID-19 protocol until he/she is tested COVID-19 negative. In the meantime, people who have been in close physical contact with this participant will be alerted and requested to be immediately checked for COVID-19 symptoms. If anyone is found to have COVID-19 symptoms, then he/she must go through the same protocol. The process is repeated until all people in the cluster are tested COVID-19 negative. This will ensure that SARS-CoV-2 virus for this cluster has been completely eliminated. A rapid deployment of this type of apparatus throughout communities where people tend to congregate such as superstores, supermarkets, and any other establishments, small or large, can help to contain the rapid spread of the disease, as well as to give more confidence to the general public. People, who pass through this apparatus without an alert signal, should feel more confident in carrying out their activities, though social distancing and other COVID-19 precautionary requirements should still be maintained. The concept can be further expanded to cover shopping malls, concert halls, sports arenas, and any other large events including highways and freeways with the help of mobile phone technologies, transponders, and other mobile devices. By working on the 0.6% (around 2 million infected people in the US as of June 2020) quickly and effectively, instead of on the 99.4% (330 million, the remaining population) by locking people at home and closing down all businesses and activities; we can save a significant amount of money and hassles. (A long lockdown can also lead to a collapse of our economy and can consequently lead to a worldwide calamity.) In this way the 99.4% will not be burdened with the virus problem and can live normally without having to take any test. It is probably the only effective approach in solving the COVID-19 problem at the moment because vaccines and known COVID-19 cures are not yet available. Even if SARS-CoV-2 vaccines are available presently, they may not be practical to implement economically and operationally in time to contain the virus worldwide due to the massive amount of people (viz. over 7 billion).

3.2020102250AN ARTIFICIAL INTELLIGENCE AND IOT BASED COVID-19 EARLY WARNING SYSTEM FOR SENIOR CITIZENS
AU 01.10.2020
Int.Class A61B 5/00
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
Appl.No 2020102250 Applicant Babu, G. Venkata Suresh DR Inventor
The present invention relates to an artificial intelligence based covid-19 early warning system for senior citizens. In the proposed system, various types of health sensors collect body temperature, heartbeat, respiratory rate, resting pulse oxygen saturation, the partial pressure of oxygen, multiple pulmonary lobes from various body parts of the patients. Then an early warning score (EWS) is derived by comparing the deviation of values with standard benchmark values collected from normal people. If the EWS is high, then an early warning message will be sent as SMS to the respective health care unit along with the details of location, using Wi-Fi module. This Wi-Fi module sends the signals through the IoT technology. Following invention described in detail with the help of figure 1 of sheet 1 which shows block diagram of the proposed system, figure 2 of sheet 2 shows the architecture of the developed system with sensors and communication channels. Figure 1
4.2020102228A SYSTEM FOR DETECTION OF CORONA VIRUS IN HUMAN BODY USING ARTIFICIAL INTELLIGENCE
AU 01.10.2020
Int.Class G16H 50/80
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
80for detecting, monitoring or modelling epidemics or pandemics, e.g. flu
Appl.No 2020102228 Applicant Agrawal, Pankaj DR Inventor
The present invention relates to a system for detection of corona virus in human body using artificial intelligence. The proposed can detect likelihood of the Covid-19, measure oxygen saturation and temperature of the patient. Invented system comprises a testing stand which having stethoscopes connected to a microphone to listen and record the respiratory sounds of the patient, a pulse oximeter to measure the oxygen saturation level of the patient, an IR temperature sensor to measure the temperature of the patient and a computer which comprises of a machine learning software to combine and analyse all readings to produce the final result. Following invention described in detail with the help of figure 1A of sheet 1 shows covid-19 diagnostic system with a patient, figure 1B of sheet 1 shows expanded view of covid-19 diagnostic system. Figure 1A
5.2020101210AUTOMATED SCREENING SYSTEM OF COVID-19 INFECTED PERSONS BY MEASUREMENT OF RESPIRATORY DATA THROUGH DEEP FACIAL RECOGNITION
AU 16.07.2020
Int.Class A61B 5/08
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
08Measuring devices for evaluating the respiratory organs
Appl.No 2020101210 Applicant ANGURAJ, DINESH KUMAR DR Inventor
More than 10 00 000 people were exposed to the novel coronavirus called COVID 19, which is transpired in Wuhan, China, in December 2019 and became a worldwide medical evacuation rapidly. Vigorous medication and enhanced allotment of hospital facilities in pandemic regions are substantial due to the increased rate of infectious disease. Precise and efficient medication helps to segregate the suspected cases to stabilize the spreading of infection. A severe hurdle is the lack of hospital and medical facilities in pandemic regions. COVID-19isan irregular breathing condition triggered by coronavirus infections, so numerous citizens typically wear masks to reduce the threats of being infected during the pandemic period. This invention presents FLIR E6 that uses RGB and thermal cameras for health screening to acquire the facial expressions in video frames. YOLO V3 is suggested for detecting the facial regions such as the forehead part and nostril areas. Based on the detection of the accurate region, the respiration data is extracted from the masked nostril region. Inevitably, the recurrent neural network model called Long Short Term Memory proposes for classifying as infected or healthy people based on respiratory data. This proposal exhibits that the contactless and smart screening test, which exploits the pre-scan process for virally infected people with high accuracy of detection and obtains relatively high performance. AUTOMATED SCREENING SYSTEM OF COVID-19 INFECTED PERSONS BY MEASUREMENT OF RESPIRATORY DATA THROUGH DEEP FACIAL RECOGNITION Diagram normalperson Fig 1: Data flow diagram
6.2021100026SYSTEM AND METHOD FOR DIAGNOSIS OF DISEASES FROM MEDICAL IMAGES
AU 04.02.2021
Int.Class A61B 6/00
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
6Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
Appl.No 2021100026 Applicant CHERUVU, ARAVIND Inventor
A system for diagnosis of diseases is disclosed. The system receives a medical image and. converts resolution of the medical image into a predefined resolution to obtain a sample image. The system obtains an intensity value matrix upon converting the sample image into gray scale image and obtain a testing data set by converting the intensity value matrix into a test row vector. The system includes a dimensionality reduction module to generate a dimensionality reduced test matrix based on the testing data set and a transformation training matrix obtained from a training data set. The system includes a similarity identification module to identify a similarity value of each row vector of the dimensionality reduced test matrix with a dimensionality reduced training matrix. The system includes a disease classification module to assign a class label of a training row vector to the test row vector based on a maximum similarity value and identify a type of disease present in the medical based on the class label.
7.20200397341SYSTEMS AND METHODS OF USE THEREOF FOR DETERMINING AEROSOL PARTICLE CHARACTERISTICS
US 24.12.2020
Int.Class A61B 5/08
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
08Measuring devices for evaluating the respiratory organs
Appl.No 16905480 Applicant University of Georgia Research Foundation, Inc. Inventor Venkata Sreerama Narasimha Rao Tatavarti

Systems and devices for detecting and characterizing stratified fluid and/or aerosol particles and droplets, and methods of use thereof to, for example, diagnose and prognose respiratory diseases and disorders are provided. The systems typically include optoelectronic sensors for detecting foreign particles like bacteria and pollutants in the air (i.e., the aerosol) based on light scattering. Information collected in this way can be used to, for example, detect or identify respiratory maladies and determine the effectiveness of methods of treatment thereof.

8.20200337594BIOMARKERS FOR SYSTEMS, METHODS, AND DEVICES FOR DETECTING AND IDENTIFYING SUBSTANCES IN A SUBJECT'S BREATH, AND DIAGNOSING AND TREATING HEALTH CONDITIONS
US 29.10.2020
Int.Class A61B 5/08
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
08Measuring devices for evaluating the respiratory organs
Appl.No 16823082 Applicant Canary Health Technologies Inc. Inventor Raj REDDY

Embodiments of the disclosure can include biomarkers for systems, methods, and devices for detecting and identifying certain substances, such as chemicals, volatile organic compounds (VOCs), volatile gases (VGs), ketones, cannabis, controlled substances, pharmaceuticals, or anesthetics, in the exhaled breath of a subject or person in real-time; and further diagnosing, treating, and addressing one or more associated health conditions or diseases, including a virus, such as COVID-19, tuberculosis (TB), lung cancer, or chronic obstructive lung disease (COPD).

9.20200276229INHALATION OF NITRIC OXIDE FOR TREATING RESPIRATORY DISEASES
US 03.09.2020
Int.Class A61K 33/00
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
KPREPARATIONS FOR MEDICAL, DENTAL, OR TOILET PURPOSES
33Medicinal preparations containing inorganic active ingredients
Appl.No 16879233 Applicant Advanced Inhalation Therapies (AIT) Ltd. Inventor Yossef Av-Gay

A method of treating a human subject which is effected by intermittent inhalation of gaseous nitric oxide at a concentration of at least 160 ppm is disclosed. The method can be utilized for treating a human subject suffering from, or prone to suffer from, a disease or disorder that is manifested in the respiratory tract, or from a disease or disorder that can be treated via the respiratory tract. The disclosed method can be effected while monitoring one or more of on-site and off-site parameters such as vital signs, methemoglobin levels, pulmonary function parameters, blood chemistry and hematological parameters, blood coagulation parameters, inflammatory marker levels, liver and kidney function parameters and vascular endothelial activation parameters, such that no substantial deviation from a baseline in seen in one or more of the monitored parameters.

10.WO/2021/028928SYSTEM AND METHOD FOR DETERMINING ONSET AND DISEASE PROGRESSION
WO 18.02.2021
Int.Class A61B 5/08
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
08Measuring devices for evaluating the respiratory organs
Appl.No PCT/IL2020/050896 Applicant RESPIRATION SCAN LTD Inventor LAPIDOT, Yaron
The invention disclosed herein concerns screening and early detection of a variety of disease conditions in seemingly healthy subjects, enabling early intervention and treatment.