Can AI Replace Doctors?

Can AI Replace Doctors?

The Growing Accessibility Crisis in Healthcare

In many rural areas, access to quality healthcare is a significant challenge. The shortage of doctors?and the lack of specialized medical services often leave residents with limited options. This disparity in healthcare accessibility can lead to delayed diagnoses, untreated conditions, and overall poorer health outcomes. The question arises: can AI bridge this gap?

The State of AI in Healthcare

AI has made significant strides in various fields, including healthcare. From diagnostic tools to personalized treatment plans, AI is increasingly being integrated into medical practice. However, the current state of AI is not without its limitations. While AI can assist in diagnosing conditions and suggesting treatments, it lacks the nuanced understanding and empathy that human doctors provide.

Real Case Studies: AI in Action

In Tennessee, Dr. Matthew Hitchcock uses an?AI tool?to draft his medical notes, significantly reducing the time spent on administrative tasks. This allows him to focus more on patient care. Similarly, AI algorithms have been employed in radiology to detect anomalies in medical images with high accuracy. These examples highlight the potential of AI to enhance, but not replace, the role of doctors.

The Potential of AI in Rural Healthcare

For rural areas with a?shortage of doctors, AI can be a valuable resource.?AI-driven health assistants?can provide preliminary diagnoses and recommend next steps, saving patients time and money. These tools can offer standardized medical knowledge, ensuring that even those in remote locations receive accurate and timely medical advice.

The Future of Medical and Healthcare

While AI holds promise, it is not a panacea. The?future of healthcare?will likely involve a hybrid model where AI assists doctors, enhancing their capabilities and allowing them to focus on more complex cases. This collaborative approach can help mitigate the current healthcare disparities and improve overall patient outcomes.

How can I Start Building this Future?

In our?AI in Medical & Healthcare?course, we offer a comprehensive course with many cool projects. One of them involves on fine-tuning an open-source Meta?LlaMa 3 8B?model to serve as a health assistant which you can customise in any way you see fit. This project covers:

  • Fine-tuning LlaMa3 8B for accurate health Q&A.
  • Personalized health assistance through fine-tuning.
  • Using Gradio-chat for initiating health-related conversations.
  • You'll get the full code, tutorial, slides, and technical support.

With this project you can starting helping people determine whether their symptoms require a doctor's visit, providing accurate information and peace of mind, especially in rural areas where qualified health practictioners are not freely accesible.

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Evan Miller

Research and Reporting Analyst

5 个月

I really appreciate that you mention how a model such as Llama would need to be fine tuned for accuracy. Many LLMs are trained on large amounts of information sourced from around the internet, and healthcare advice is uniquely weak to having a huge amount of wrong information posted online. An LLM will output what it has learned to be a group consensus so it needs to be trained on a dataset of actual doctor’s notes. There is also an issue where the language used in the prompt can affect the results (asking a question using slang may cause the model to source its response from a text with slang that is less likely to be correct, for example). It is a high risk idea but careful training makes it possible

Glenn Jakobsen, DO, FAAPMR, FABDA

Board-certified Physical Medicine & Rehab. Brown University MPH Candidate. Founder@The Digital Equity Initiative. Committed to an ethical, equitable, and accessible digital health revolution.

5 个月

As a doctor, I'd say yes, but perhaps not completely. Simply put, if a model reads X-ray and MRI scans with efficiency and accuracy, a metropolitan hospital that once had 20 radiologists may get by with five. That leaves 15 radiologists looking for work. Retinal scans? You bet. That's less ophthalmologists. I welcome this pressure and hope it results in better care, cheaper care, and more accessible care. It's long overdue.

Ivan Velimirovic

A Pharmacist, to the core.

5 个月

I don't think AI can replace doctors (or pharmacists ??) completely, for different reasons. But AI diagnoses based on sources (samples, pictures) that can be taken is much, much better than no diagnose at all. Many of the listed illnesses have significantly better prognosis or treatment if diagnosed early.

Adam M.

Student at University of Wolverhampton BSc Hons Computer Science and currently doing a MSc in Computer Science with A.I

5 个月

Short answer is no Too many variables ai is not ready for, could it be automated in the future, possibky, but in the short term no, we would need to see it trialled and proven to work in non essential roles first such as warehouses, self driving cars, service and hospitality, then legal and public sector roles before confidently move on to medicine Yes ai is brilliant for augmenting the role of physicians and clinical workers such as helping to identify cancer in medical imagery live, or augment 3d scans for surgery This is a million miles appart from replacing a doctors role, whilst it talks of rural areas and this is a valid point as in my dissertation i spoke over the shortage of dermatologists in places such as africa, outback australia, india and indonesia then yes it an aiamd (artificial intelligence as a medical device) can be useful for identifying potential neoplastic regions of the skin Byt what happens when its a more serious element and are we then encouraging a further lonely society by isolating humanity from the little contact it has with others I see why sam altman posted "her" on his x account because we are moving towards that kind of society

Michael Tei

Innovating Tomorrow's Tech Today: IT Management ||

5 个月

AI can not replace doctors, but doctor who understand and can use AI will replace does who can't in future.

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