Please login to the form below
Artificial Intelligence: the new healthcare algorithm
The age of computers has hugely evolved, and with the emergence of effective machine learning, pattern recognition, and decision-making algorithms, Artificial Intelligence provides a revolutionary new approach to tailored healthcare. Associate Medical Copywriter Kulveer Singh dives deeper into the technology.
Artificial Intelligence (AI) is
the science
and engineering of making intelligent machines, and the art of using
computers to understand human intelligence. When it comes to healthcare, AI can
bring about radical changes to the way doctors and physicians access,
communicate, and interact with patient data. Crucially, this can result in
improved patient outcomes and even the possibility of using an individual
patient’s history - such as previous illnesses, allergies or even genetic
makeup - to predict their
exact treatment requirements.
Associate Medical Copywriter Kulveer Singh explains how the introduction of AI can change the landscape of healthcare, why it’s an exciting time for the development of new technologies, and the challenges that implementing new AI may pose.
With its ability to use natural language capabilities, hypothesis generation, and evidence-based learning, IBM WATSON has made the switch to healthcare and can support physicians in key decision-making processes. For example, an oncologist can use WATSON to assist in diagnosing and treating cancer patients. First, they might pose a query to the system, describing symptoms and other related factors (e.g. a patient has been suffering from severe and unexplained tiredness). WATSON begins by identifying the key pieces of information before mining through patient-related data to find relevant facts about family history, current medications, and other existing conditions. It combines this information with current findings from oncology clinical tests, doctors’ notes, treatment guidelines, instrument data, and scientific literature. It then examines these sources before forming hypotheses and testing them. WATSON will then provide a list of possible diagnoses with an accompanying score that indicates the level of confidence for each hypothesis. This contextual analysis allows WATSON to address complex problems, helping the doctor make more informed and accurate decisions.
Even Google with their DeepMind Health AI technology, have entered into the first NHS research project investigating how machine learning can help analyse ophthalmic scans, leading to earlier detection and intervention for patients with macular deterioration.
![]()
Associate Medical Copywriter Kulveer Singh explains how the introduction of AI can change the landscape of healthcare, why it’s an exciting time for the development of new technologies, and the challenges that implementing new AI may pose.
Better than humans? There’s proof!
In 2011, IBM’s supercomputer WATSON competed against and obliterated a long-term game show champion. All this, despite the general thought that computer programmes were unable to understand natural language, puns, red herrings, and to simply unpack the meaning behind game show questions.With its ability to use natural language capabilities, hypothesis generation, and evidence-based learning, IBM WATSON has made the switch to healthcare and can support physicians in key decision-making processes. For example, an oncologist can use WATSON to assist in diagnosing and treating cancer patients. First, they might pose a query to the system, describing symptoms and other related factors (e.g. a patient has been suffering from severe and unexplained tiredness). WATSON begins by identifying the key pieces of information before mining through patient-related data to find relevant facts about family history, current medications, and other existing conditions. It combines this information with current findings from oncology clinical tests, doctors’ notes, treatment guidelines, instrument data, and scientific literature. It then examines these sources before forming hypotheses and testing them. WATSON will then provide a list of possible diagnoses with an accompanying score that indicates the level of confidence for each hypothesis. This contextual analysis allows WATSON to address complex problems, helping the doctor make more informed and accurate decisions.
Even Google with their DeepMind Health AI technology, have entered into the first NHS research project investigating how machine learning can help analyse ophthalmic scans, leading to earlier detection and intervention for patients with macular deterioration.
Download the full article from Blue Latitude Health
Company Details
Blue Latitude Health
+44 203 328 1840
Address:
Blue Latitude Health (UK)
140 Aldersgate Street
London
EC1A 4HY
United Kingdom
Latest content on this profile
- Three strategies for managing loss of exclusivity successfully
- Consultant, Claire Taylor explains why you should be strategically planning your LOE strategy years in advance.
Blue Latitude Health
- What does the future hold for Medical Affairs?
- Lori Lush, Head of Fishawack Medical, reveals why she’s driven to tell impactful scientific stories, the benefits of cross-functional collaboration, and the trends she predicts for the next five years.
Blue Latitude Health
- Mistrust in medical research: a patient perspective
- The recent development of several COVID-19 vaccines has placed medical research firmly in the spotlight, highlighting public confusion and misinformation about clinical trials. Patient advocate, Trishna Bharadia reveals what the life sciences industry can do to rebuild trust.
Blue Latitude Health
- Real-world evidence: breaking boundaries in rare disease
- Generating data for drug launches is a challenging process. In rare diseases, with small patient populations and high unmet need, evidence generation is even more complex. Consultant Sarah Poole and Senior Consultant Craig Moore explore the benefits of using real-world evidence and the common pitfalls life science companies should avoid.
Blue Latitude Health
- The heavy toll of COVID-19 on cancer patients
- We all know that finding and treating cancer early saves lives. During the COVID-19 pandemic, oncology treatments paused while cancer continued to spread. So, what has been the impact of this lost time for patients?
Blue Latitude Health
- Unpacking rare diseases in the first edition of Delta magazine
- Fishawack Health launches Delta magazine with a deep dive into rare disease commercialization
Blue Latitude Health
