How AI is Changing the Future of Healthcare Industry

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How AI is Changing the Future of Healthcare
Industry
Last updated on May 26, 2021 Dash Technologies
Inc Artificial Intelligence, Healthcare
Introduction In the eía of new possibilities,
Aítificial Intelligence (AI) is opening new dooís
acíoss vaíious industíies. lypically, we use AI
foí collaboíation among smaítwatches, secuíity
systems, and home appliances. In impíoving useí
expeíience using AI, the idea of human-machine
collaboíation has been íedefined.
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Why AI?

• In many industíies, businesses aíe looking to
  evolve theií píocesses thíough an AI- díiven
  shift. Whetheí its in healthcaíe, finance, oí
  manufactuíing, aítificial intelligence is
  changing the way industíies woík. lhis incíeasing
  industíy acceptance of AI has paved the way foí
  the discoveíy and cíeation of new methods foí ouí
  existing woíkfoíce.
• The Digital Eras Healthcare Hurdle
• lhe evolution of medical science has íaised life
  expectancies, impíoved patient healthcaíe, and
  made píeviously teíminal diagnoses tíeatable.
  Howeveí, even with all the advancements made by
  medical science, some things have íemained
  íelatively aíchaic. Facing an incíeasing demand
  foí seívices, expanding costs, and a woíkfoíce
  stíuggling to meet patient demands, the
  healthcaíe industíy has been in despeíate need
  of stíeamlining píocesses.
• Healthcaíe píovideís aíe often stíuggling to keep
  up with advancements made in theií field,
  because finding what technologies to invest in
  and implementing these technologies has to
  píovide a cleaí benefit to all of those involved.
  lypically, intíoducing new tech íequiíes a
  system oveíhaul, but with AI, evolution becomes
  faí easieí.
• How AI is Revolutionizing Healthcare
• lhe potential foí AI in healthcaíe is huge, as it
  adapts to mimic advanced actions moíe
  efficiently, quickly, and at a loweí cost than
  human beings. Just like in ouí eveíy- day lives,
  AIs íole in the futuíe of healthcaíe is integíal
  foí sustainable gíowth and efficiency. Examples
  of how AI is íevolutionizing the industíy
  include
• Robot-Assisted Suígeíy Píoceduíe- Cognitive
  suígical íobotics collect infoímation fíom íeal
  suígical píoceduíes to impíove alíeady existing
  suígical methods. Using aítificial intelligence,
  doctoís can collect data fíom píe- opeíation
  medical íecoíds while obtaining insights, helping
  íeduce tíeatment time and the maígin of eííoí.
• Díug Development- AI is being applied to díug
  píoduction in oídeí to help scientists íecognize
  píomising tíials eaílieí in the development
  píocess,

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• meaning they can focus on developing only those
  that have the most potential foí success and can
  save yeaís on testing.
• Cybeí Secuíity- In the healthcaíe industíy, it is
  essential to keep all patient- íelated data
  secuíe and confidential. Intíoducing intuitive
  aítificial intelligence and machine leaíning
  píogíams not only keeps data secuíe but píovides
  an extía layeí of safety to sensitive mateíial.
• Highly Accuíate Diagnoses- lhousands of extíemely
  detailed pathology images can give accuíate
  diagnoses and foíecast the best possible anti-
  canceí díug combinations. In medical imaging
  diagnostics, this technology helps íadiologists
  catch details which escape the human eye.
• Health Monitoíing- AI ML based technologies
  monitoí a peísons health. lhey monitoí the
  pulse and body tempeíatuíe, ensuíing theíe aíe
  not majoí díops oí spikes. If theíe is a need to
  woííy, the AI-enabled health monitoíing system
  automatically notifies medical peísonnel.
• Dosage Eííoí Reduction- Patients have to be given
  píopeí dosages, because sometimes evenone extía
  dose of medicine can cause long-lasting
• detíimental effects on a patients health.
  Aítificial intelligence technology is designed
  to íeduce the maígin of medical eííoís that may
  occuí duíing dosage píescíiption.
• The Future of AI in Healthcare
• Oveí the next few yeaís, the stíongest
  possibilities foí AI in healthcaíe aíe hybíid
  models, wheíe clinicians aíe suppoíted in
  diagnosis, tíeatment planning, and classifying
  íisk factoís, but have to be the end decision
  makeí foí a patients caíe.
• lhe ease of using AI will íesult in fasteí
  adoption by healthcaíe píovideís in oídeí to
  mitigate peíceived íisk and deliveí measuíable
  píogíess in patient outcomes and opeíational
  efficiency at scale.
• Final Thoughts
• lhe ability of aítificial intelligence is haíd to
  ignoíe. lhe numbeí of successful case studies
  and examples will continue to gíow as hospitals
  and physicians continue to see the impíovement
  AI can bíing to theií field.
• AI looks to make sense of complex medical data,
  gain insights, and betteí identify patteíns in
  behavioí to help navigate the futuíe of
  healthcaíe. Not only is Dash

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planning on being paít of this new íevolution,
but we intend to be the glue holding togetheí
healthcaíe and íeliable technology foí yeaís to
come.