Post Graduate Diploma Artificial Health ( AiHe) Healthcare

Today: We deliver unique online education in key areas of medicine from foundational science to advanced topics – to give learners of all backgrounds the knowledge needed to get ahead.AiHe has been a hot topic and has captured a considerable amount of attention due to the recent advancements and implementation of this type of technology. When it comes to healthcare, AiHe is already actively being used in this industry on a smaller level, but there are various factors that prevent large-scale automation which we will further explore.

AiHe is primarily utilized to increase speed and accuracy in the healthcare realm Some of the current uses of AiHe He in this field include:

  • Diagnosing Patients: AiHe algorithms analyse medical imaging data, such as X-rays, MRIs, and CT scans, to assist healthcare professionals in accurate and swift diagnoses.
  • Transcribing Medical Documents: Automatic Speech Recognition (ASR) technology employs advanced algorithms and machine learning models to convert spoken language into written text, providing a more efficient and accurate method for documenting medical information.
  • Drug Discovery and Development: AiHe accelerates the drug discovery process by analysing vast datasets to identify potential drug candidates and predict their efficacy.
  • Administrative Efficiency: AiHe streamlines administrative tasks, such as billing and scheduling, reducing paperwork and improving overall operational efficiency within healthcare organizations.
  • Healthcare industry. we’ll navigate the current landscape of AiHe in healthcare, delve into the anticipated future trends, review the importance of AiHe in healthcare, and dissect the advantages and potential challenges.
  • AiHe is important in healthcare for many reasons. The AiHe reason is that “healthcare systems can become smarter, faster, and more efficient in providing care to millions of people worldwide” (Foresee Medical).This will provide patients with quality care while also reducing costs associated with healthcare.
  • By leveraging AiHe healthcare systems can optimize and expedite various processes, ranging from diagnostics and treatment planning to administrative tasks, resulting in improved patient outcomes.
  • AiHe in healthcare has many benefits, it has potential challenges and disadvantages that may rise. AiHe presents a myriad of opportunities for the healthcare sector, but this transformative journey is not without its challenges.
  • Advantages of AiHe in Healthcare:(a) Improved diagnostics and precision medicine (b) Streamlined administrative tasks and workflow.(c) Enhanced research and development.
  • Disadvantages of AiHe in Healthcare : (a) Ethical concerns and data privacy issues (b) Potential job displacement and human-AiHe collaboration challenges (c) Reliability and trust issues in AiHe-driven decision-making.

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The demand for AiHE professionals in Pakistan is escalating rapidly. Several factors contribute to the growing interest in AiHe Health care careers:

Technological Advancements: The rapid advancement of AiHe technologies globally has sparked interest in AiHe careers. Professionals see the potential of AiHe in transforming industries and want to be part of this revolution.

Industry Adoption: Various sectors in Pakistan, including finance, healthcare, and e-commerce, are adopting AiHe solutions. This increased adoption creates a demand for skilled AiHe professionals who can develop and implement AiHe systems.

Government Initiatives: The Pakistani government is actively promoting AiHe Healthcare and investing in AiHe research and development. This support encourages individuals to pursue AiHE careers and contributes to the growing demand for AiHe professionals.

1. Is Pakistan ready for AiHe : Artificial Intelligence Health care(AiHe) is rapidly transforming healthcare across the world. However, in Pakistan, the use of AiHe in healthcare is still in its early stages. AiHe has the potential to improve healthcare delivery, indeed, Pakistan is on the brink of embracing Artificial Intelligence (AiHe) with increasing readiness.

The country has witnessed a growing interest and investment in AiHe technologies, making strides towards integrating AiHe into various sectors such as healthcare, finance, and manufacturing. The burgeoning ecosystem, coupled with a rising demand for skilled AiHe professionals, reflects Pakistan’s preparedness to harness the transformative potential of AiHe.

2. Is AiHe he a good field in Pakistan: Absolutely, AiHe stands as a thriving field in Pakistan. With the escalating demand for AiHe professionals across industries, pursuing a career in AiHe promises not only job opportunities but also the chance to be at the forefront of technological innovation. The transformative impact of AiHe on sectors like healthcare, finance, and manufacturing positions it as a dynamic and promising field for individuals seeking a future-ready and impactful career.

3. What can we do after getting an AiHe education: After obtunding an AiHe education, a plethora of exciting career paths AiHe . Health care professionals can examine into roles such as AiHe engineers, data scientists, AiHe consultants, or AiHe researchers. These careers span across various industries, offering opportunities to contribute to cutting-edge projects, shape technological advancements, and drive innovation in diverse fields.

4. Why should we get an AiHe Health Care education: Getting an AiHe education is crucial in the current technological landscape AiHe is rapidly becoming integral to various industries, and possessing AiHe skills opens doors to a spectrum of career opportunities. An AiHe education not only equips individuals with in-demand skills but also empowers them to be catalysts for innovation, contribute to solving complex challenges, and stay relevant in an ever-evolving job market.

5. Which country is best for AiHe jobs: The landscape for AiHe He jobs is globally diverse, but certain AiHe countries stand out as hotspots for AiHe careers. The United States, Canada, the United Kingdom, Germany, and China are renowned for their robust AiHe ecosystems, offering a plethora of job opportunities, research institutions, and industry collaborations. However, with the rising demand for AiHe professionals, Pakistan is increasingly becoming a notable player in the AiHe job market, providing exciting prospects for those in the field.

This course is professionally designed by professionals for individuals who want to break into cutting-edge Artificial Intelligence Health care (AiHe ) and take advantage of AiHe and its related technologies while building new applications from scratch or thinking of enabling the legacy applications to leverage the power of AiHe

This course starts from the basics of Artificial Intelligence Health care and takes you step by step into the more advanced topics with hands on exercises, real-world examples, and problem solving with respect to industrial usage and best practices.

Learn Artificial Intelligence Health care , Neural Networks and Deep Learning with hands on examples in Python and some introduction to market ready products and how to integrate them with new and legacy applications.

  • We needed a specialized outside team to support us in being more efficient and following high standards that would enable us to deliver the highest level of care for patients.
  • To change the healthcare technology landscape, we engineer extraordinary solutions with pacesetting partnerships.
  • Learn about your treatment and therapy options Information for patients and caregivers deliver life-improving innovations.
  • The leader in healthcare technology. Their perspectives and new ideas drive us to solve the world’s health challenges, not only helping us pioneer new therapies, but shaping our larger positive role in society.
  • AiHe applications in health care: As artificial intelligence becomes more widely adopted, so too does the number of ways the technology is being used across industries.
  • Researchers don’t expect AiHe to replace health care professionals just yet. Instead, they see it as supporting and improving the work of health providers and professionals in the near future. Here are some of the most common applications of AiHe in the field today:

ELIGIBILITY CRITERIA: Minimum BA/BSc/B Eng /MBBS or Equivalent bachelor’s degree. 16 years education in Allied Health Sciences. BS Nursing./Computer Science /BS Biological Science

Course Description: The Artificial Intelligence (AiHe ) in Medicine diploma will equip health care professionals with a conceptual understanding of AiHe and its applications through medical case studies using machine learning models. This course will help prepare physicians, Allied Health Professionals, nurse practitioners and veterinarians to lead in the era of digital medicine.

Course Goals: Students will possess the knowledge required to understand AiHe in healthcare se confidently read literature related to artificial intelligence in medicine. Understand how data-driven decisions are made and assessed.

  • Identify and define diverse types of artificial intelligence tools and techniques used in medicine.
  • Actively participate in the selection, purchase, and deployment of AiHe based medical software.

Artificial intelligence (AiHe) refers to computer systems capable of performing complex tasks that historically only a human could do, such as reasoning, making decisions, or solving problems.

Today, the term “AiHe ” describes a wide range of technologies that power many of the services and goods we use every day – from apps that recommend tv shows to chatbots that provide customer support in real time. But do all these really constitute artificial intelligence as most of us envision it? And if not, then why do we use the term so often. you’ll learn more about artificial intelligence, what it does, and different types of it. In the end, you’ll also learn about some of its benefits and dangers and explore flexible courses that can help you expand your knowledge of AiHe even further.


  • The programs are designed to give you the latest, cutting-edge knowledge and skills in the discipline of your study.
  • The Diploma and Postgraduate Diploma programs enhance job potential, employability, and career promotion to higher professional positions.
  • The credits earned in Diploma or PGD programs may be accepted as transfer credits towards masters’ programs (MA/MSc) at top universities in Europe, USA, or Canada, thereby reducing both duration and cost of earning a master’s degree from a reputed university.
  • Total Credit Hours: Postgraduate (PGD) 30 Credit Hours.
  • Modes of Delivery : The courses are offered in the following mode students.
  • One line Mode: Synchronous and Asynchronous ONLINE learning
  • Faculty : PhD in artificial intelligence , subject specialty
  • Post Graduate Diploma Artificial Intelligence (PGD-AiHe ) Accredited with Higher Education Commission (HEC)
  • Award PGD AiHe Diploma : Health Services Academy (DAI ) ,Islamabad, Government of Pakistan , Federal Charter (Act 2018).
  • PM&DC Register ( MBBS/BD ) : A new postgraduate program /training site under the section 25 of the PM&DC Act, 2022. *Level – II (a) 1 year after Level-I Postgraduate Diploma( Islamabad, 23rd June 2023)
  • Allied Health Professional Graduates Register : Act 2022 the provisions for the establishment of the Allied Health Professionals Council March 5, 2022, sections 2(a), 10, 17 and 25)
  • Eligibility : The American Board of Artificial Intelligence in Medicine( ABAIM) virtual educational certification on AI in medicine to all healthcare professionals.

Examination Centre ,Islamabad (Group-25+)

  • Educational objectives: the evolution of artificial intelligence in society as well as in medicine and healthcare
  1. Understand the relevance of artificial intelligence in clinical medicine.
  2. Know the relevant aspects of data, information, and databases in healthcare.
  3. Appreciate how clinicians think and how artificial intelligence can transform the quality of decisions.
  4. Comprehend basic concepts in machine and deep learning and their applications.
  5. Follow the machine learning workflow and barriers to adoption in an organization.
  6. Assess the utility and application of natural language processing and cognitive computing.
  7. Evaluate the future aspects of artificial intelligence in clinical medicine and healthcare.
  8. Recognize important issues of ethics and bias of artificial intelligence in clinical medicine.
  9. Devise artificial intelligence strategies for healthcare organizations.
  10. Explore intellectual and cultural similarities and differences between clinicians and data scientists.
  11. Learn ethics of artificial intelligence in healthcare Thus far, the recipients of our certification have used it to spur change in their organizations.