AI in Healthcare: Enhancing Medical Care

Published Date : 16/10/2025 

Explore how artificial intelligence (AI) is revolutionizing the medical industry, enhancing patient care, and addressing key challenges in healthcare. From AI-driven medical billing solutions to advanced diagnostic tools, discover the future of medical care. 

Does the future of medical care look doctorless? In reality, a totally doctorless society is not forthcoming. While the practice of medicine is being transformed with the introduction and constant development of artificial intelligence, technological advancements in medical analytics, robotics, and remote health services are essentially helping the fraternity address key challenges to reshape the economics and accessibility of healthcare.

Artificial Intelligence has permeated the medical industry in various ways. AI-driven medical billing solutions now influence payment processes, while a range of AI-infused solutions are commonly used to enable clinicians to improve the detection of illnesses and different types of cancers. This is representative of only a few positive outcomes of AI in medical care. Recently, HOPPR secured $31.5M Series A to scale AI Infrastructure for medical imaging, while the UiPath Medical Record Summarization AI agent was introduced to empower both payer and provider organizations to take total advantage of the combined power of generative AI and agentic automation in this field.

Practitioners across most areas of medicine are now slowly starting to use AI to help them recognize symptoms and make better (albeit quicker) decisions that will improve patient care and enhance treatment plans. These technologies are being trained to collect and analyze everything, from medical images to patient histories, to decode lab findings and genomic data faster, with the aim of offering a more holistic view of what’s wrong with a patient.

Understanding the Core Needs and Benefits of AI in Medical Care

In reality, artificial intelligence in various forms has been used in medicine over the years in different ways, and experts now predict that the adoption of large language models will steadily reshape the scope of medicine and healthcare down the line. Most of these AI effects are expected to bring positive changes and increased efficiencies. What doctors and AI innovators are most excited about is how AI can be trained to help reduce both costly and common mistakes in medical care and how it can ease the ongoing crunch in medical care.

AI tools today are being used to help ease hospital administrative burdens, creating better spaces for doctor-to-patient interactions to be the main focus while the administrative tasks largely get handled by the technology. Globally, the medical system has been said to be broken in many ways, a key aspect of concern being the constant problem of fewer doctor-to-patient ratios. This puts pressure on every patient-doctor relationship, either affecting how freely a patient can converse with their doctor or how much time and attention a doctor can devote to each patient. In this regard, the overall medical system would greatly benefit from a good balance of AI working in tandem with its human workforce to ensure better medical processes are put in place to ease workflows and meet patient needs, demand, and expectations on time.

AI, Modern Medicine, and the Near-Future

Given current AI abilities, one way doctors can benefit from AI models is by using them to second-guess themselves in times of a tricky case. Call it a soundboarding model if you will; everyone needs that at some point. Another growing opportunity stems from AI’s ability in notetaking and clinical or consultative summarization, facilitating better in-house processes for doctors on call or those who work as general physicians, especially since they meet several patients in a typical workday.

Improved automation of notes and medical summaries would benefit global healthcare workers in many ways. It can ease the paperwork load and help reset the doctor-patient relationship. Freed from the note-taking process, doctors could sit face-to-face with patients and focus on the actual conversation, opening a path to stronger, more meaningful connections, something that many patients may crave, especially when dealing with critical health issues. New age AI systems for ambient documentation will also soon be able to listen during patient visits, record what was said and done, and generate an organized clinical note summary in real-time. If symptoms are discussed in the conversation, the AI would be able to suggest diagnoses and possible courses of treatment.

Once ready, this can be reviewed by the attending physician before any actual medical action is taken because, all said and done, the need of the hour lies in learning how to optimize the use of artificial intelligence in the medical ecosystem without it necessarily replacing human doctors and medical experts.

In certain areas, AI is now being developed to support data analysis for better diagnosis of medical scans and images. As Dr. Amit Parasnis, Head of Oncology at Manipal Hospitals, Baner (India), puts it, AI can’t give a complete diagnosis yet but may in the future, based on a patient’s preexisting symptoms. AI is fed patient data, like age, scan, and biopsy data, and based on that learning, an AI would potentially be able to share a full diagnosis in the future. Dr. Parasnis adds, “AI or machines are useful in a few more areas, maybe to an extent in biochemistry. Today, you put a blood sample in a machine and it gives you a full analysis. But for a tissue sample (biopsy) to be done, a pathologist manually assesses the tissue to test it. But for AI to do that, it’s not happened yet but the process is on the way.”

The Growing Impact of End-to-End AI Systems in Medical Care: China’s Self-Serve Medical Kiosks

Recently, China presented the world with a range of AI-powered, doctorless kiosks, machines that scan, diagnose, and even dispense medicine in minutes. There is no real need for a human doctor; these systems can do what a human doctor would have. These machines could steadily transform access to medical care, making it easier and quicker for patients to get timely treatments, something that could be truly beneficial in rural or hard-to-reach areas to begin with.

But the question remains: can or should technology honestly replace the human touch in end-to-end medical care? Would patients prefer a humanoid bot to an actual human doctor as the years go by? Say 10 years from now, a patient would still want to be treated by a human doctor but not necessarily a humanoid, says Dr. Parasnis. If you need a wound that needs suturing, doctors don’t see AI doing it anytime soon. Humans will still prefer a human doctor in the coming years. But, for certain biopsies that need to be done from inside the body from afar, medical experts have been using remote-controlled soft tissue bots for these procedures and to provide medical aid from miles away already.

What Should Be Kept Foremost in Mind as the Development and Use of AI Grows in Medical Care?

Data sets today can be largely biased, reflecting societal imbalances in terms of culture, race, and more. Without correction at the fundamental level, these biases will be cemented in the foundation of how AI models are built to drive healthcare prospects. There’s also the problem of AI hallucinations, where AI can often make up ‘facts’ when fed large quantities of data and then present them as if they were real. In a sensitive area like medical diagnosis or care, this would hurt the future development of AI-powered systems if not kept in check at the right time, which is now. But that’s not to say that the technology isn’t powerful. It boils down to how the medical fraternity will build with it without hurting the basic core and fundamentals of healthcare and patient needs.

Other top-of-mind concerns surrounding AI and medical care involve:

The Need for the Human Element: AI-Human Balance

It is critical for AI to complement, and not replace, the actual human expertise in critical industries like healthcare. Proper human oversight can then ensure the responsible and ethical use of AI in sensitive or high-stakes situations.

Preventing Data Biases, Focusing on Accuracy

AI models are as good as the data they are fed and trained on. Focusing on the quality of data is important to avoid bias and ensure future AI models are built with the aim of providing realistic output.

AI and Patient Ethics

Mechanisms need to be put in place to appropriately address any AI-related misconduct or data falsification. As Dr. Parasnis puts it, “AI won’t necessarily affect ethics in healthcare unless it results in a breach of data because decision-making and interpretation of results still have to be done by a clinician as of today. The data can be leaked, and a breach of privacy is not something any patient would like.”

Bridging the Skills Gap

As AI advances, the need to rethink how medical training across fields within this ecosystem is undertaken will grow. It will become crucial to reconfigure plans and restructure training norms to have the current student population learn how to effectively use these tools and to use prompt engineering as part of their daily task. In India, for instance, medical students are trained on simulators that are sometimes powered by AI to enable reasoning and training for future situations. But this is still at a nascent stage.

Medical Validation with Expert Input

It is critical now more than ever to have seasoned doctors thoroughly test and validate AI tools in the making or the information coming from them to ensure accuracy and reliability before any of them, the tools or the AI-powered information, are put into practical use. 

Frequently Asked Questions (FAQS): 

Q: What are the main benefits of AI in healthcare?

A: AI in healthcare offers several benefits, including improved diagnostic accuracy, enhanced patient care, reduced administrative burdens, and better data analysis. It can also help in reducing medical errors and improving the efficiency of healthcare delivery.

Q: Can AI replace human doctors in the future?

A: While AI can significantly enhance medical care, it is unlikely to completely replace human doctors. AI is best used to complement human expertise, providing support in diagnosis, treatment planning, and administrative tasks.

Q: What are the ethical concerns with AI in healthcare?

A: Ethical concerns in AI healthcare include data privacy, bias in data sets, AI hallucinations, and the potential for AI to make incorrect decisions. Ensuring proper oversight and validation by human experts is crucial to address these issues.

Q: How can AI improve patient-doctor interactions?

A: AI can automate administrative tasks, such as note-taking and medical summarization, allowing doctors to focus more on patient interactions. This can lead to stronger, more meaningful connections between patients and doctors.

Q: What role does data quality play in AI healthcare?

A: Data quality is crucial in AI healthcare. Biased or low-quality data can lead to inaccurate AI models, which can negatively impact patient care. Ensuring high-quality, diverse data sets is essential for building reliable and effective AI systems. 

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