Artificial intelligence in medicine: Does it threaten trust in doctors' decisions?
In an exclusive statement to Al-Youm newspaper, Dr. Urwa bin Mohammed Hamish, an internal medicine specialist, warned of the growing reliance on artificial intelligence in medicineand how this trend has recently fueled doubts about doctors' decisions. He emphasized that this phenomenon has become a major challenge, directly impacting the quality of healthcare and its outcomes, due to the potential negative repercussions on patient health and their response to prescribed treatment plans.
The evolution of artificial intelligence in medicine: from assistance to challenge
The integration of artificial intelligence into medicine is not a recent phenomenon, but rather the culmination of a long history of technological development that began decades ago. Initially, medical technology was limited to data archiving and the analysis of simple radiological images. With the explosive growth of machine learning algorithms, these systems have transformed into tools capable of analyzing massive amounts of medical data and providing diagnostic suggestions. While this historical development has contributed to a scientific revolution that has helped doctors detect diseases earlier, making these tools available to the general public through smartphone applications and generative search engines has created a new reality, where patients can now search for their symptoms and receive potential diagnoses even before visiting a doctor's office.
A double-edged sword: positive and negative doubt
Hamish explained that one of the most prominent factors behind this phenomenon is the reliance of some patients on artificial intelligence for their medical information without verifying its accuracy, sources, or relevance to their actual health condition. This opens the door to misinterpretations that lead to doubts about the medical diagnosis. He clarified that patient skepticism can be categorized into two main types: positive and negative. Positive skepticism plays a crucial role in improving the quality of healthcare, as it contributes to enhancing the patient's understanding of their condition and encourages their participation in treatment decisions, as well as their request for clarification or further medical consultation. This strengthens the bonds of trust between doctor and patient without diminishing the doctor's professional standing.
Risks of changing treatment plans without supervision
Conversely, the specialist pointed out that negative skepticism poses the greatest challenge, as it leads to a general loss of trust in doctors and reliance on unreliable sources. Furthermore, some patients frequently change their treatment plans without medical supervision, placing them in a cycle of constant anxiety about diagnosis and treatment, often resulting in increased psychological burden, delayed intervention, and a decline in their health.
Clinical examination versus algorithms
Hamish emphasized that there is a fundamental difference between what artificial intelligence offers and what a physician does in clinical practice. While smart technologies are advanced, they lack the ability to perform direct clinical examinations and cannot assess vital signs or observe the subtle details that are crucial elements in diagnosis. In contrast, physicians rely on a comprehensive methodology that includes gathering medical history, conducting physical examinations, and utilizing supporting tests to arrive at an accurate diagnosis and an appropriate treatment plan.
Expected impact on the future of healthcare locally and globally
The repercussions of this phenomenon are not limited to the local level; they extend to pose a regional and international challenge to the health sector. At the local and regional levels, excessive reliance on automated self-diagnosis can overwhelm healthcare systems and increase pressure on clinics due to unwarranted panic attacks. Internationally, global health organizations warn of the dangers of misinformation that can be generated by some non-medically informed language models. However, the responsible use of these technologies can transform them into a powerful educational tool that raises public health awareness, provided that the final decision-making authority remains with a qualified medical professional.
Boosting confidence and building sound health awareness
Dr. Hamish emphasized the importance of rebuilding and strengthening trust between doctors and patients through complementary roles. The doctor has a responsibility to explain medical decisions clearly and simply, and to create an open communication environment that welcomes the patient's questions and inquiries. Conversely, the patient has a responsibility to use artificial intelligence tools as a means of understanding and providing information, not as a basis for judgment or decision-making. He added that it is also sound medical practice for patients to seek a second medical opinion when needed, but within a professional framework aimed at reassurance and improving the treatment decision, without creating anxiety. He concluded by stressing that a balance in dealing with information sources, and an awareness of the limitations of both the doctor and technology, are the cornerstones of achieving safe and effective healthcare that prioritizes the patient's well-being.
