WHAT IS BIOMEDICAL ENGINEERING
 TECHNOLOGY IS COMMONLY USED IN
BIOMEDICAL INVENTION SUCH AS X-RAY
MACHINE AND ECGs, HAVE MADI IT
EASIER FOR MEDICAL PROFESSIONALS
TO BE ABLE TO DETECT
COMPLICATIONS AND ABNORMALITIES ,
LEADING TO BETTER PATIENT CARE.
MOST RECENT TECHNOLOGY
 ARTIFICIAL INTELLIGENCE
 VIRTUAL REALITY
 3D PRINTING
 TISSUE ENGINEERING
 MACHINE LEARNING
 PROSTHETIC DEVICE
PROSTHETIC DEVICE
 A PROSTHETIC DEVICE DESIGNED TO
REPLACE A MISSING PART OF THE BODY
OR TO MAKE A PART OF THE BODY
WORK BETTER
 DISEASED OR MISSING EYES, ARMS
LEGS OR JOINTS...ARE COMMONLY
REPLACED BY PROSTHETIC DEVICE
AIM OF PROSTHESIS
 TO SUBSTITUTE FOR A LOST PART
 TO RESTORE LOST FUNCTION
 STABILITY WHILE STANDING AND
WALKING
ARTIFICIAL INTELLIGENCE
 ARTIFICIAL INTELLIGENCE (AI) REFERS
TO THE SIMULATION OF HUMAN
INTELLIGENCE IN MACHINES THAT ARE
PROGRAMMED TO THINK LIKE HUMANS
AND MIMIC THEIR ACTIONS
HOW AI USED IN HEALTHCARE
 Drug discovery
 FRAUD PREVENTION
 VIRTUAL NURSING ASSISTANT
TISSUE ENGINEERING
 The goal of tissue engineering is to assemble
functional constructs that restore, maintain,
or improve damaged tissues or whole
organs.
 Tissue engineering often involves the use of
cells placed on tissue scaffolds in the
formation of new viable tissue for a medical
purpose, but is not limited to applications
involving cells and tissue scaffolds.
APPLICATIONS OF TISSUE ENGINEERING
 While most definitions of tissue engineering
cover a broad range of applications, in
practice, the term is closely associated with
applications that repair or replace portions of
or whole tissues
 organs, bone, cartilage, blood vessels,
bladder, skin, muscle etc.
VIRTUAL REALITY
 VIRTUAL REALITY IS A COMPUTER
GENERATED ENVIRONMENT THAT
PROVIDES A THREE DIMENSIONAL
IMAGE ON THE SCREEN TO THE USER
VR IN HEALTHCARE
 VIRTUAL REALITY IN HEALTHCARE USES
COMPUTER GENERATED TECHNOLOGY
FOR SEVERAL HEALTHCARE
APPLICATIONS, LIKE PROVIDING
VIRTUAL MEDICAL TRAINING TO
STUDENTS AND DOCTORS OR CARRING
OUT DIAGONSIS AND MANY OTHERS
3D PRINTING
 3D PRINTING IS A TECHNIQUE THAT
ALLOWS USING BIOLOGICAL MATERIALS
,WHICH MAKES ANY ORGANS OR
IMPLANT A PERSON MAY NEED OR HAVE
VERY SIMILAR TO THEIR OWN
MOLECULAR STRUCTURE
APPLICATIONS OF 3D PRINTING
 Replacement Parts
 DRUG TESTING
 Emergency Structures
 ADVANTAGES OF 3D PRINTING
 Rapid Prototyping
 Fast Design and Production
 Minimising Waste
MACHINE LEARING
 MACHINE LEARING IS ASCIENTIFIC
STUDY OF ALGORITHM AND STATISTICAL
MODELS THAT COMPUTER SYSTEMS
USE TO PERFORM A SPECIFIC TASK
WITHOUT EXPLICIT INSTRUCTIONS
MACHINE LEARING IN BIOMEDICAL
 MACHINE LEARING IN HEALTHCARE CAN
BE USED TO MEDICAL PROFESSIONALS
TO DEVELOP BETTER DIGNOSTIC TOOLS
 FOR EXAMPLE, MACHINE LEARING
ALGORITHM CAN BE USED IN MEDICAL
IMAGING SUCH AS X-RAYS OR MRI SCAN
USING PATTERNS THAT INDICATE A
PARTICULAR DISEASE
APPLICATIONS OF MACHINE LEARING
 Image recognition is one of the most
common applications of machine learning.
 It is used to identify objects, persons,
places, digital images, etc.
 Marine Wildlife Preservation
 Predict Potential Heart Failure
BIOMEDICAL PRESENTATION FOR CAREER GROWTH.pptx

BIOMEDICAL PRESENTATION FOR CAREER GROWTH.pptx

  • 2.
    WHAT IS BIOMEDICALENGINEERING  TECHNOLOGY IS COMMONLY USED IN BIOMEDICAL INVENTION SUCH AS X-RAY MACHINE AND ECGs, HAVE MADI IT EASIER FOR MEDICAL PROFESSIONALS TO BE ABLE TO DETECT COMPLICATIONS AND ABNORMALITIES , LEADING TO BETTER PATIENT CARE.
  • 3.
    MOST RECENT TECHNOLOGY ARTIFICIAL INTELLIGENCE  VIRTUAL REALITY  3D PRINTING  TISSUE ENGINEERING  MACHINE LEARNING  PROSTHETIC DEVICE
  • 4.
    PROSTHETIC DEVICE  APROSTHETIC DEVICE DESIGNED TO REPLACE A MISSING PART OF THE BODY OR TO MAKE A PART OF THE BODY WORK BETTER  DISEASED OR MISSING EYES, ARMS LEGS OR JOINTS...ARE COMMONLY REPLACED BY PROSTHETIC DEVICE
  • 5.
    AIM OF PROSTHESIS TO SUBSTITUTE FOR A LOST PART  TO RESTORE LOST FUNCTION  STABILITY WHILE STANDING AND WALKING
  • 6.
    ARTIFICIAL INTELLIGENCE  ARTIFICIALINTELLIGENCE (AI) REFERS TO THE SIMULATION OF HUMAN INTELLIGENCE IN MACHINES THAT ARE PROGRAMMED TO THINK LIKE HUMANS AND MIMIC THEIR ACTIONS
  • 8.
    HOW AI USEDIN HEALTHCARE  Drug discovery  FRAUD PREVENTION  VIRTUAL NURSING ASSISTANT
  • 9.
    TISSUE ENGINEERING  Thegoal of tissue engineering is to assemble functional constructs that restore, maintain, or improve damaged tissues or whole organs.  Tissue engineering often involves the use of cells placed on tissue scaffolds in the formation of new viable tissue for a medical purpose, but is not limited to applications involving cells and tissue scaffolds.
  • 11.
    APPLICATIONS OF TISSUEENGINEERING  While most definitions of tissue engineering cover a broad range of applications, in practice, the term is closely associated with applications that repair or replace portions of or whole tissues  organs, bone, cartilage, blood vessels, bladder, skin, muscle etc.
  • 13.
    VIRTUAL REALITY  VIRTUALREALITY IS A COMPUTER GENERATED ENVIRONMENT THAT PROVIDES A THREE DIMENSIONAL IMAGE ON THE SCREEN TO THE USER
  • 14.
    VR IN HEALTHCARE VIRTUAL REALITY IN HEALTHCARE USES COMPUTER GENERATED TECHNOLOGY FOR SEVERAL HEALTHCARE APPLICATIONS, LIKE PROVIDING VIRTUAL MEDICAL TRAINING TO STUDENTS AND DOCTORS OR CARRING OUT DIAGONSIS AND MANY OTHERS
  • 16.
    3D PRINTING  3DPRINTING IS A TECHNIQUE THAT ALLOWS USING BIOLOGICAL MATERIALS ,WHICH MAKES ANY ORGANS OR IMPLANT A PERSON MAY NEED OR HAVE VERY SIMILAR TO THEIR OWN MOLECULAR STRUCTURE
  • 18.
    APPLICATIONS OF 3DPRINTING  Replacement Parts  DRUG TESTING  Emergency Structures  ADVANTAGES OF 3D PRINTING  Rapid Prototyping  Fast Design and Production  Minimising Waste
  • 19.
    MACHINE LEARING  MACHINELEARING IS ASCIENTIFIC STUDY OF ALGORITHM AND STATISTICAL MODELS THAT COMPUTER SYSTEMS USE TO PERFORM A SPECIFIC TASK WITHOUT EXPLICIT INSTRUCTIONS
  • 20.
    MACHINE LEARING INBIOMEDICAL  MACHINE LEARING IN HEALTHCARE CAN BE USED TO MEDICAL PROFESSIONALS TO DEVELOP BETTER DIGNOSTIC TOOLS  FOR EXAMPLE, MACHINE LEARING ALGORITHM CAN BE USED IN MEDICAL IMAGING SUCH AS X-RAYS OR MRI SCAN USING PATTERNS THAT INDICATE A PARTICULAR DISEASE
  • 21.
    APPLICATIONS OF MACHINELEARING  Image recognition is one of the most common applications of machine learning.  It is used to identify objects, persons, places, digital images, etc.  Marine Wildlife Preservation  Predict Potential Heart Failure