Empowering Oncologists: How AI at Apollo Precision Oncology Centre Enhances Decision-Making in Cancer Care

Empowering Oncologists: How AI at Apollo Precision Oncology Centre Enhances Decision-Making in Cancer Care

In a significant move that can potentially revolutionise cancer imaging and detection and enhance the quality of cancer care in India, Apollo Cancer Centre has launched India’s first AI-Precision Oncology Centre (POC) in Bengaluru. With this, Apollo Cancer Centre can offer the best and fastest treatment routes for cancers powered by AI. Technologies powered by AI can also offer immense potential for effective decision-making and improving patient outcomes.

Using Deep Learning to Understand Oncology

Artificial intelligence is reshaping cancer patient management. Combining technology and medicine can greatly improve cancer care treatments. With AI, researchers at the Apollo Cancer Centre are learning to recognize patterns in various models. The information gained from such data and models can be utilised to enhance decision-making approaches for oncology care. This approach relies on machine learning and deep learning methods.

Machine learning approaches reshape patterns from data and models for analysis. With deep learning methods, data analysis can be refined to enhance predictive performance. Deep learning techniques can also analyse medical images such as MRI, CT, and PET scans with remarkable accuracy. Trained on extensive public domain datasets, AI-driven precision technology can detect minute anomalies often overlooked by the human eye, dramatically reducing the incidence of false negatives.

Enhancing the Field of Oncology with AI

AI can potentially identify patients at a higher risk for specific types of cancer, such as breast cancer, owing to early screenings. AI can drastically enhance cancer identification and provide cancer treatments curated for individual patients to obtain optimal patient outcomes.

Medical Imaging/Screening

By incorporating AI into the diagnostic sphere, oncologists and radiologists can obtain precise insights into imaging studies, effectively reducing false positives and/or false negatives. For instance, X-ray imaging can help check the stage of cancer, its spread, and whether individualised treatments are working. With AI tools and techniques, this screening and imaging is much more precise and accurate. AI and machine learning algorithms use numerous studies of body parts to create detailed representations of the patient’s internal body organs.

This collaboration between human expertise and AI assistance helps detect and check cancerous cells better, enhances diagnostic confidence, and ensures that patients receive the most appropriate cancer care.

Precision Medicine

In precision medicine, prognosis and cancer treatment are based on individualised plans for each patient. In such cases, genetic and molecular profiles are taken into account. AI models and algorithms can create simulations to show the effects of specific treatments. This innovative approach can help provide the right treatment to cancer patients at the right time.

 Novel Treatments

AI models and algorithms can be employed to understand how cancer cells become resistant to anti-cancer drugs. This understanding can help researchers and oncologists devise new cancer treatment modalities for different patients.

Radiologists can also employ AI algorithms to map the affected areas, which will be essential in accurately and effectively planning treatment programs with oncologists. For example, a chemotherapy treatment can be tailored according to the patients’ individual requirements using AI to customise the most effective dosage.

AI and Shared Decision Making in Cancer Care

The integration of artificial intelligence in cancer care at Apollo Precision Oncology Centre is not only a technological advancement but also a paradigm shift in the patient-physician relationship, especially when it comes to making decisions regarding cancer treatment provision.

In providing precise oncological services, individual patient profiles are of utmost importance, and they can strongly influence patient outcomes. As such, precision and personalisation of cancer care are crucial elements of effective cancer treatments. Artificial intelligence will play a pivotal role in clinical decision-making.

Various cancer treatments involve navigating a complex array of diagnostic data, treatment modalities, and prognostic factors. AI tools, equipped with the most advanced algorithms, can analyse large data sets from public domains, encompassing medical imaging, genetic information, and patient health history, to identify patterns and correlations that may not be captured through human analysis.

This collaboration between AI, oncologists, and patients at Apollo Precision Oncology Centre enables them to make more informed decisions regarding the most effective and personalised cancer treatment modalities.

Beyond mere analytical and predictive capabilities, AI can further influence the decision-making process in providing cancer care by providing oncologists and patients with a more nuanced understanding of the particular type of cancer and the potential treatment pathways. This enhanced precision while increasing the understanding of the presence of uncertainties.

Taking Advantage of Precision Oncology Care

There are numerous benefits of precision medicine, particularly in oncologic care. Apart from the provision of individualised patient therapy unique to each individual, both patients and oncologists obtain a better understanding of cancer behaviour and personalised cancer treatments, along with avoiding unnecessary chemotherapy and related side effects. With precision oncologic care, oncologists can obtain improved disease control and enhanced overall patient survival.

Biomarker testing is an important part of tailoring cancer treatment for patients based on specific genetic or other tumour alterations. With this approach, oncologists obtain enhancement in treatment efficacy and predict cancer recurrence, which influences cancer treatment decisions like chemotherapy or radiation therapy.

Pharmacogenomics is another factor instrumental in providing personalised cancer treatment. It studies how an individual’s DNA influences their response to drug administration, enabling oncologists to understand and prescribe the most effective and safe medication and dosage for each patient.

Navigating the Intricacies of AI in Patient-centric Oncology Care at Apollo Precision Oncology Centre

Apollo’s Precision Oncology Centre (POC) offers comprehensive and specialised medical services that ensure accurate diagnosis with real-time insights, cancer risk assessment, cancer treatment protocol maintenance, and continuum of care. They are providing India’s first and one-of-a-kind cutting-edge services in oncology care with a patient-centric approach.

Apollo Cancer Centre is committed to providing patients with the most advanced, accurate, and customised cancer treatment. In its pursuit of excellence in healthcare delivery, POC stands on a pedestal, revolutionising oncology care through personalised, data-driven solutions for optimal patient outcomes. Apollo’s AI Precision Oncology Centre is leading the way in making India a global healthcare hub for supreme cancer care at an affordable price.