We can undoubtedly say that Artificial intelligence (AI) is already making differences in the healthcare sector promising enhancing the quality of care provided, minimizing the costs incurred, and speeding up the period needed for a drug to be manufactured. AI powered systems have the capability of sifting through huge set of information, spotting connections, making forecasts and more importantly aiding in the decision making processes that follow.
AI enabled Healthcare Solutions that Peep into The Future
- Drug Discovery and development:
- AI can be harnessed in algorithms to screen biological data for drug discovery i.e targeting the product towards suitable targets.
- Nonclinical data such as clinical trials centralizes on proving the safety and effectiveness of particular tablets uses’ and ML models can decrease the cost and time of such situations.
- Medical Imaging:
- With the help of AI powered tools for medical image processing, physicians and medical professionals will be able to diagnose diseases like cancers effectively and on early stages which would result in a higher percentage of successful treatments.
- Similarly, diagnostic imaging tools can help radiologists analyze intricate 3D or 4D images of patients’ internal organs.
- Personalized Medicine:
- By evaluating patient reports, AI can provide details of a large amount of the patients suffering from similar conditions and assist in making bespoke treatment approaches for the patient to ensure maximum benefits while minimizing the amount of unwanted side effects.
- AI can be used in conjunction with genetic studies to look for some markers that predict the effectiveness of certain forms of therapy for a particular patient.
- Virtual health care assistants:
- AI powered virtual assistants can be able to not only advise a patient on which medicine to use but also which drugs to use while remaining in communication with the patient even if he or she suffers from some psychiatric diseases.
- All in all, these virtual assistants can ease the workload of health professionals and help improve patients’ access to the required healthcare.
Inevitably at the end of the day, all this situation comes about because of some administrative tasks. AI has the potential to take over some menial tasks of administrative nature. This enables nursing professionals to be more focused on issues that directly involve patient care.
The year 2021 has seen ample rise in technology technological solutions. But with potential ease of accessibility comes heaps of ethical dilemmas. There are at least three challenges that AI surgeons face, as every other sector, data privacy and security, algorithmic bias, and human AI collaboration. Starting from the bottom in terms of priority is collaboration. It can be difficult to convey that the technology is meant to take assist rather than replace human ability. Everything lies in harmony. Another essential yet not primary challenge, eliminating bias of AI would require a constant update to ensure fair and ethical practices.
To add onto the aforementioned issues, one relevant fact comes to mind, AI can’t be seen as a replacement, in order to efficiently provide treatment. Everything should be balanced, even being minimalistic in the scope of treatment. And lastly, a defined structure and a framework are essential for AI architecture or ortho AI. This single defined articulation will enable standards for AI in healthcare.
As history has shown, the clash between man and machine can only result in one thing, and enhancement of the existing quality of life, cementing advancements in the field. In that sense, every developing country has its own mantra in terms of combining man and machine. The ethics of infrastructure would stand strong, all the problems AI brings must be solved efficiently otherwise the results would be detrimental to society.