Artificial intelligence (AI) in healthcare is defined as the use of algorithms and software to approximate human cognition in the analysis of complex medical data. Precisely, AI is the capability for computer reducing algorithms to approximate conclusions without direct human input to support increased healthcare facility and healthcare professional productivity and profitability, along with the potential for significantly lowering patient costs and improving the quality of patient care and outcomes.

AI in healthcare represents an assembly of multiple smart digital solutions enabling equipment to sense, comprehend, act and learn so they can augment human activity and help complete administrative and clinical healthcare activities. Nowadays, it is a reality that AI cognitive technologies can successfully emulate and supplement the power of the human brain and provide real and advanced life-saving and quality-of-life solutions.

The primary AI Healthcare goal is to analyze relationships between prevention or treatment techniques and patient outcomes with massive amount of data. AI solutions, in recent years, have been developed to support smart practices including, diagnosis processes, treatment protocol development, drug development, personalized medication, and patient monitoring and care.

Medical and technological innovation activities occurring since the 1960s that have enabled the progress of AI Healthcare solutions include:

  • Faster data collection and data processing.
  • Genomic sequencing databases.
  • Increased volume and availability of health-related data from personal and healthcare-related devices.
  • Natural language processing and computer vision, enabling machines to replicate human perceptual processes.
  • Robot-assisted surgery precision.
  • Widespread implementation of electronic health record systems.

The key AI healthcare solutions that are changing patient treatment, directly and indirectly, are as follows:

Patient Medical Records

AI solutions collect, store, re-format, and trace, and analyze vast amounts of data to provide faster, more consistent patient and healthcare research and related decisions.

Patient Care Treatment Plans

AI solutions analyze meaning and context of patient’s structured and unstructured data in clinical notes and reports combined with clinical expertise, and external research to identify potential patient treatment pathways and plans.

Healthcare Professional Productivity

AI solutions analyze lab tests and other mundane patient care, and clinical tasks that can be accomplished faster, more accurately, and consistent to appropriate standards. AI effectively and efficiently covers a broad variety of body diseases and imaging modalities, including, X-rays, CT scans, etc.

Medical Research

AI solutions detect abnormalities in X-rays and MRIs, genomics to perform complex processing and, in precision medicine to aid in creating highly customized treatments for individual patients.

Patient Digital Consultations

AI solutions, via mobile, provide patient feedback on healthcare data elements captured on their cell phone or wearable devices for medication adherence or a motivational voice that encourages fitness activities and healthy wellness habits.

Healthcare bots

AI Healthcare bots interact through a chat window on websites or via telephone to help patients with healthcare care requests. Bots offer 24/7 assistance for scheduling, billing and other clinical requests.

Drug Discovery

AI solutions speed up drug discovery, cut R&D costs, decrease failure rates in drug trials and  create better medicines.

Robotic Surgery

AI solutions helps licensed surgeons, perform fine precision surgeries and in tight spaces and with less tremors than would be possible by the human hand alone.

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