AI in Medicine: Who’s the Boss?

Artificial intelligence is revolutionizing industries and impacting healthcare like never before. We are likely witnessing a huge turning point in our lives, with the potential for AI to reshape our existence in unprecedented ways. As someone from a generation born in times of huge technological innovation, I find myself at an interesting crossroads.

Let’s take the case of Medicine. Doctors often have to switch back and forth between patient consultations and paperwork which leads to a huge drain on their energy. Here’s where AI comes into play. Imagine a doctor-patient consultation where the physician isn’t constantly typing away on a computer. Instead, they would be able to be fully engaged in the conversation. AI-powered voice recognition software can make this a reality by transcribing medical consultations in real time, saving tons of effort for the physician. The software listens to the conversation and understands medical terminology, allowing it to generate accurate notes. When doctors can focus more on their patients and less on these tasks, the healthcare experience becomes more efficient overall. More recently, AI is also proving to be a ray of hope, helping in augmented speech devices for those who have irreversible speech-limiting disorders who never ever dreamt they would one day be able to ‘voice’ their thoughts again.

Moving on to diagnostics, accurate diagnosis is the first step toward effective treatment, but it’s often easier said than done. Medical imaging, for example, requires a keen eye and years of experience. However, even the most skilled radiologists can miss subtle abnormalities in imaging studies like X-rays or MRI scans. Here, algorithms trained on thousands of medical images learn to identify patterns and anomalies with incredible accuracy. In some studies, AI has even outperformed experienced radiologists in detecting conditions like lung cancer on chest X-rays. But the idea behind using AI is more about aiding humans rather than replacing them. AI can provide a safety net that helps clinicians make more accurate diagnoses. As such, quicker and more accurate diagnoses mean faster treatment, which can be life-saving in many cases.

However, there are huge concerns with AI as well. For example, AI models feed on data, and the question of how to protect patient privacy is becoming increasingly urgent. What if an AI system received access to your entire medical history? If this data were to fall into the wrong hands—be it hackers or unauthorized personnel—the consequences could range from identity theft to insurance fraud. Moreover, there’s the issue of data ownership. Who owns this medical data? Is it the healthcare provider, the AI company, or the patient? And what happens if the data is used for purposes other than healthcare? These are not just hypothetical questions but real ethical dilemmas that we need to address as AI becomes more integrated into healthcare

Moreover, another problem that stands out is AI’s difficulty in providing the human touch. The technology falls short in comprehending human emotions and delivering emotional support—skills that healthcare professionals spend years honing.

Among the variety of its uses, I believe that directing research and development toward drug discovery could be highly beneficial. Drug development is notoriously time-consuming and financially draining, often requiring decades and billions of dollars. However, machine learning algorithms can efficiently search large databases for promising drug candidates, substantially reducing both time and money.

Surgery is another critical area where AI could be of massive use. Although robotic surgical systems like the da Vinci Surgical System have been used for years, this could be greatly built on. AI algorithms have the capability to analyze pre-operative imaging to forecast possible complications. The possible advantages are considerable with reduced recovery durations and diminished complications.

Overall, AI has the capacity to radically transform many aspects of healthcare. However, it’s important to focus our research investments on the most promising sectors with drug discovery and AI-augmented surgical robotics particularly standing out. These changes in our lives are both simultaneously exhilarating and worrisome, making one often wonder if technology is getting out of hand.

While I remain optimistic about the future benefits these technologies may offer for our well-being, we must also confront ethical challenges as we incorporate these instruments into the healthcare system. The use and benefits of artificial intelligence in human lives must be weighed in the balance of safety, privacy, and ethics. Therefore, we must ensure that the creation doesn’t outsmart the creator.

Author

  • Vayun-Chugh
    (Author)

    Vayun Chugh is a Molecular and Cell Biology student at UC Berkeley with a strong interest in pursuing a career in the medical field.

    Molecular & Cell Biology Student at UC Berkeley

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