Ammar Ahmed

The practice of spine surgery presents numerous ethical challenges. Ethical considerations must be taken into account throughout the patient’s treatment, from the surgical decision to the final follow-up. Surgical decision-making can vary for many common degenerative spine conditions. This variability may be due, in part, to the fact that clinical and radiologic data are not uniformly correlated. Such variability could be a source of confusion for patients. It is imperative that the treating surgeon explain the nature of the problem to the patient, respect the patient’s autonomy, and tolerate the patient’s hesitation in deciding to proceed with surgery or adequately deal with their desire to have surgery when it is not indicated. Nonsurgical treatment options should be offered along with their potential benefits. When the results of surgical intervention have been suboptimal, surgeons should avoid depressive and ethically problematic terms such as “failed back surgery syndrome.” Further scientific and technological advances should be sought and investigated to develop treatment solutions. With advances in operative technology, the surgeon often works with the medical industry. The surgeon should follow ethical principles, rules, and regulations when dealing with the industry to avoid bias or conflict situations. If the surgeon is unable to perform surgical treatment, he or she should offer the patient alternatives that could help improve their medical condition or alleviate their pain, as the patient remains at the center of treatment.

The question of which future we may all face is a question in almost every mind these days. We don’t need a crystal ball to predict what we will have in the future; we just need to look for what is already available in new emerged innovations and technologies to draw a clear picture for the foreseeable future. We are on the edge of a historical and major paradigm shift of medical practice and medical education. Medicine and medical practice throughout history have been considered a noble human-led practice based on direct patient-physician relationship. This relationship is protected by ethics and good human values. The newly emerged era is the era of digitizing medicine sometimes known as the medical digital revolution. The introduced innovations in medical practice such as AI, robotic surgery, genetic alteration, brain chip implants, computer-brain interface, and others are promising technologies which may help many patients. The implementation and use of such new technologies should be based on values-based medicine (VsBM) with a sole goal of serving and helping patients, as the patient is the center of care.The role of the physician in managing patients is going to be changed dramatically. Therefore, surgeons and physicians should be prepared to accept, absorb, and make the best use of such technologies. Consequently, medical education has to adapt and reflect these major changes. It is possible that new technologies such as ChatGPT (medical ChatGPT) and telemedicine could perform major parts of some medical specialties like family and community medicine. So, the real challenge is how doctors and surgeons could alter their current routine practice in order to be able to implement and use these new technologies to help their patients. The nagging question is “what are the limits of these newly developed technologies”? The answer is and should be that there are no limits at all and there should not be any obstacles to hinder the scientific medical development as long it does help patients and respects their values.The aim of this chapter is not to enumerate all the current and foreseen emerging technologies that have the potential to be implemented in medical practice and medical learning. The aim is raise awareness about the challenges we will face together to ensure that all the emerging technologies will work for patients and not compromise their autonomies or rights. We must search for solutions, understand, and draw road maps for the best possible utilization of such technologies for the benefit of the patients and further development of medical research.

Ethics, as a word, has had a checkered career. English lexicons trace it to the Sanskrit word Swadha, which briefly connotes a sense of self-respect that as a mere custom denies you the right to do anything wrong, even when not policed or monitored [1]. It is an inner conviction about what is proper and philanthropic, a conviction sustained in action under pressure. Ethics cannot be taught, much less available in coaching classes. This necessitates that we have amid us neurosurgical role models of integrity, of character, that the students may take as a role model. All told, ethics is one’s innate being, one’s weltanschauung. The peon of the President, the Prime Minister, or the Principal may be more ethical than the boss. To that extent, to be ethical is to be ready to walk, as the Kathopnishad says, on the razor’s edge.

The world is urbanizing at a rapid pace fueling an ethical conflict between saving lives and acting equitably. The complexity of healthcare data is one of the driving forces towards the application of artificial intelligence (AI) within the field of healthcare management. The key categories of applications involve diagnosis and treatment recommendations, patient engagement and adherence, and administrative activities. AI offers a real opportunity for healthcare management, not only for automating some of the processes and procedures carried out by doctors and other medical staff but also for making quicker and better decisions as well as applying human-free problem-solving techniques, thus reducing costs and improving outcomes. Though AI can empower healthcare and diagnostic processes with automation integration, some challenges exist. This chapter aims to explore those challenges through a conceptualized literature review of recent empirical studies which are centered around the level of governance of AI applications in healthcare institutions. Such governance is critical, not only for patient safety and accountability but to foster equity, equality, and clinician trust, as well as improving the adoption of meaningful health outcomes. In doing so, the chapter will also offer an insight into the potential of AI to transform healthcare systems, by showing ethical and practical implications.

Artificial intelligence (AI) has become a big part of healthcare because data analytics has changed things. It has changed how diseases like cancer, heart disease, and neurological disorders are treated more practically. The main reason to use AI in healthcare is to deal with the problems and complexity caused by patients’ medical data coming in both structured and unstructured forms. AI has a bright future in which it can help make better medical decisions, like with radiology imaging. Many of AI’s benefits come from the complex algorithms that help it learn from the considerable amount of healthcare data and correct itself, making it more accurate. However, artificial intelligence has raised the question of healthcare professionals’ employability, mainly how they will find work in the future and if they are ready to use AI to their advantage.This chapter looks at how healthcare professionals, especially young doctors, can develop their careers in the age of artificial intelligence. As more and more AI technologies are used in healthcare, it is becoming increasingly important for young doctors to stay up-to-date on the latest developments and learn the skills and knowledge they need to use AI effectively. The chapter will start by presenting the impact of AI on the healthcare industry. Then, we present the challenges of using AI in the healthcare sector. Lastly, the research will show how AI affects young doctors’ professional growth and job prospects. The chapter will try to discover what skills and knowledge young doctors need to manage their professional development well in the age of AI. We also look at the different educational and training programs that young doctors can use to acquire these skills and knowledge and find gaps in what is already available. Ultimately, this research will tell us a lot about how young doctors can successfully deal with the changing healthcare system and provide high-quality, patient-centered care in the age of AI. Concerns about ethics arise when AI is used in healthcare, such as the loss of the human touch in patient care and the use of patient data for business purposes. When using AI in healthcare, organizations need to consider these ethical questions and put the safety and well-being of patients first.

The emergence of Chat Generative Pre-trained Transformer (ChatGPT) in the last few weeks of 2022 created a significant mixed response all over the world. ChatGPT is a double-edged sword. The introduction of ChatGPT in medicine teaching, learning, and practice has great potential and benefits; however, there are significant risks and fears. The system is still in the process of development; it may change traditional medical learning and practice beyond expectation. ChatGPT program is trained or programmed to answer and effectively respond to a wide range and varieties of questions in any field according to previously stored data in that program. It is envisaged to be programmed to be able to solve medical and medical educational problems. There are important and valid considerations that should be carefully studied before the implementation of this system/program in medical practice and education such as the following:The accuracy of answering and the adequate professional response of GPT to medical questions are so far questioned and need to be approved. The continuous rapid developments of medical sciences and daily gained experiences require continuous feeding and updating information to basically what is a language program. In a field like medicine, there are usually several options for treating and managing certain diseases. Deciding to manage a particular patient may vary from hospital to hospital and doctor to doctor because of several factors, some related to patients and others related to the available skills, expertise, and resources.The ethics of implementing such a system include patient safety, patient rights of confidentiality, and patients’ knowledge about who is treating them and consenting them for that.Liability.Will the wide use of such a program replace some medical clinics and significantly reduce the number of medical jobs? This system may threaten several medical specialties and reduce the number of doctors and maybe clinics as well.We are hereby presenting our conversation with ChatGPT about the benefits and risks of implementing such a program/system in medical practice and education. Hence, the aims of this chapter are to (1) provide insights and forecasts into the trends in artificial intelligence (AI) and machine learning (ML) in healthcare; (2) attract the attention of medical professionals to the pros and cons of ML technology and AI in particular; and (3) answer some of the nagging questions and raise a flag by presenting the potential risks and benefits of developing such an advanced artificial intelligence program. As we wanted to be specific and focus on the use of ChatGPT in medical fields and education, we named the ChatGPT which is used in medicine as a Clinical or Medical ChatGPT.

Telemedicine is a rapidly growing technology that facilitates the provision of healthcare services. It has been used since the eighteenth century with different types of technologies and services and has a significant impact on healthcare systems, healthcare providers, and patients. The role of telemedicine has significantly increased since the COVID-19 pandemic. Particularly, home quarantine which involved most countries worldwide has proved how telemedicine helps significantly. This chapter provides an overview of the role of telemedicine and the challenges and ethical concerns regarding telemedicine.

The progress in technology witnessed over the past three decades surpasses the entire technological evolution of the preceding two millennia. The rate of innovation in certain sectors has been so exponential that its ripple effects have significantly impacted other domains. One such domain experiencing a profound transformation is the field of surgery, thanks to the advancements in digital technology and the Internet, which are revolutionizing nearly every aspect of human activities. With this current state as a foundation, what can we envision for the next 30 years? The term “metaverse” first made its appearance in 1992 in the novel Snow Crash written by science fiction author Neal Stephenson. In his novel, the Metaverse is a computer generated a world that exists parallel to ours, rendered as a perfectly round black sphere that would surpass the circumference of the Earth if compared in size. Envision a highly evolved metaverse that transcends the constraints of dimensions and geographical boundaries. In this metaverse, patients undergo virtual surgeries, experiencing digitized and simulated procedures before undertaking actual surgical interventions. Meanwhile, surgeons engage in psychomotor acceleration programs, enabling them to acquire skills in a matter of months rather than years, all within a hyperconnected world. This future holds the promise of unifying and seamlessly integrating these currently disparate elements. New industries will emerge, built upon the integration of these interconnected domains and this new generation of data. However, we must also ponder the role of the digital technology that we are familiar with today and grapple with its ethical implications.In this chapter, we delve into the theme of the digital, metaverse, and mixed reality as the dawning of a transformative era that will interconnect all existing realities, including, of course, the realm of neurosurgery. The chapter unfolds in three parts: The first part delves into the psychological and ethical aspects specifically related to neurosurgical training. The second part scrutinizes the evolution of digital and physical simulation in support of cadaver-free training. Finally, the third part provides profound insights into the potential integrated evolution of training, patient care, and data-driven AI applied to surgical education. Through this exploration, we aim to shed light on the intricacies and possibilities that lie ahead as we embark on this transformative journey at the intersection of digital technology, the metaverse, and neurosurgery.

Accelerating advancements in medical developments and information technologies have rapidly influenced changes in medical education and training. These changes have greatly influenced the daily practice of neurosurgery, medicine, surgery, and other medical services globally. Integration of values in every aspect of the development of teaching and learning in medicine is a fact that is fundamental and the basis of any learning throughout history. As modern technologies advance so fast, educators are striving so hard to upgrade education, learning, training, and curriculums, continuously keeping up with the developments but keeping intact the deeply rooted values in every system and pace of learning.Trainees have been and will always be the center of the education process just as patients will always be the center of the treatment process. The integration of these elements of Values-Based Medical Education (VsBME) in all aspects should always be maintained and highly observed. VsBME may offer an applicable concept to integrate ethics and values in the daily practice of a rapidly changing medical world.Medical education and training have five elements: (1) Vision, strategic plan, and policies; (2) Trainee; (3) Trainer; (4) The Curriculum; and (5) Logistics, facilities, and system.The code of ethics and patients’ rights has been presented in different forms; however, the contents are almost the same, which is the protection of the patient’s rights and safety and respecting the patient’s autonomy and dignity.

This work informs about major changes in health care systems at present and to come, and the ethical consequences. Rapid technological developments, especially in the fields of communication and virtual communication, artificial intelligence, implanted brain chips, augmented reality, in situ real-time pathological diagnosis of lesions during surgery, and others are challenging aspects of neurosciences in particular and medicine in general. Most of these modern technologies are available nowadays, just waiting to be tried and used. Ethicists (and neurosurgeons!) are facing unprecedented challenges as they have to be one step ahead in reading the future and predict what is coming and how the implementation of these technologies may affect patients’ safety, dignity, and autonomy. This book supports neurosurgeons and medical care providers to understand and implement the newly developed technologies, which will help advance medical care. Each chapter has been written by a world leader. Some of these authors are making the future and producing new advanced technologies. The authors discuss all the new innovations and the editors asked the authors to point out the ethical dilemmas if such technologies are implemented. The ethical questions are highlighted and suggestions are provided for solving such ethical problems to guarantee patient safety and dignity. According to the definition and principles of the Values-Based Medicine concept, the patient is the center of care, is the sole center of care. No compromising of patients’ well-being and safety can be allowed!

The study examines and theorizes the importance of strategic attribute constructs as applied to Pakistan’s banking sector by identifying their roles in enhancing organizational performance and the mediating effect of organizational commitment. The current study adopted quantitative research designs and methods to determine structural relationships between the proposed constructs. A total of 10 hypotheses were tested underpinned by the Resource-Based View of the Firm and Social Exchange theories. The strategic attributes studied were significantly and positively related to, and enhance, organizational performance if the banks: focus on strategic positioning, fostering a strong organizational culture, strategize internal marketing practices, and boost organizational commitment. The findings supported the mediating role of organizational commitment between strategic attributes and organizational performance. This study contributes to existing literature and supports prior research while filling in gaps in the literature concerning developing countries.